Iterative interference cancellation using mixed feedback weights and stabilizing step sizes

• US 8,300,745 B2
• Filed: 03/25/2010
• Issued: 10/30/2012
• Est. Priority Date: 11/15/2005
• Status: Active Grant

• Current Assignee: III Holdings 1, LLC (Intellectual Ventures LLC)
• Original Assignee: Rambus Inc.
• Inventors: Guess, Tommy, McCloud, Michael L, Nagarajan, Vijay, Lamba, Gagandeep Singh
• Primary Examiner(s): Kim, Kevin
• Application Number:
  US12/731,915
• Publication Number:
  US 20100220824A1
• Time in Patent Office: 950 Days
• Field of Search: 375/346, 375/347
• US Class Current: 375/346
• CPC Class Codes: H04B 1/7097 Interference-related aspects
• CPC Class Codes: H04B 1/71075 Parallel interference cancellation
• CPC Class Codes: H04B 1/712 Weighting of fingers for combining, e.g. amplitude control or phase rotation using an inner loop
• CPC Class Codes: H04B 2201/70702 Intercell-related aspects

Abstract

A receiver is configured for canceling intra-cell and inter-cell interference in coded, multiple-access, spread-spectrum transmissions that propagate through frequency-selective communication channels. The receiver employs iterative symbol-estimate weighting, subtractive cancellation with a stabilizing step-size, and mixed-decision symbol estimate. Receiver embodiments may be implemented explicitly in software of programmed hardware, or implicitly in standard Rake-based hardware either within the Rake (i.e., at the finger level) or outside the Rake (i.e., at the user of subchannel symbol level).

Claims

1. An interference suppressor for suppressing interference in a received signal from a channel, the suppressor configured for performing at least one iteration to produce at least one interference-suppressed symbol estimate, the suppressor comprising:

a synthesizing module configured to synthesize one or more constituent signals corresponding to one or more sources in the channel from a plurality of symbol estimates, and to produce a combined signal therefrom;

a subtraction module configured to subtract the combined signal from the received signal to produce an error signal; and

a stabilizing step size module configured to scale the error signal by a stabilizing step size to produce a scaled error signal.

2. The suppressor recited in claim 1, wherein the one or more sources in the channel correspond to one or more users.

3. The suppressor recited in claim 1, wherein the one or more sources in the channel correspond to one or more fingers.

4. The suppressor recited in claim 1, wherein the synthesizing module comprises a Walsh coder and a pseudo-noise (PN) coder.

6. The suppressor recited in claim 1, further comprising a combining module configured for adding at least one of the constituent signals to the scaled error signal to produce one or more interference-suppressed signals.

8. The suppressor recited in claim 1, further configured for performing iterative interference suppression in a receiver, wherein the synthesizing module is configured to synthesize the constituent signals to approximate estimated received signals employing the constituent signals for each of the sources in the channel and the plurality of symbol estimates.

9. The suppressor recited in claim 8, wherein the synthesizing module is configured to synthesize a subset of the sources for producing the combined signal.

10. The suppressor recited in claim 1, further comprising a resolving module configured to resolve the scaled error signal into one or more constituent error signals corresponding to each of the sources in the channel to produce one or more resolved error signals, and a combining module configured to combine the one or more resolved error signals with the weighted input symbol estimates to produce one or more interference-suppressed symbol estimates.

11. The suppressor recited in claim 10, wherein the resolving module resolves the interference-suppressed symbol estimates onto one or more user code waveforms.

12. The suppressor recited in claim 1, wherein the stabilizing step size module is configured to produce a scalar stabilizing step size for improving convergence of a plurality of iterations.

18. The suppressor recited in claim 1, configured to reside in at least one of a set of devices, the set comprising a subscriber-side device configured for processing forward-link signals, and a server-side device for processing reverse-link signals.

21. The suppressor recited in claim 1, configured as an internal feedback loop and an external feedback loop;

the external feedback loop configured to multiply a vector of the input symbol estimates by a weighting matrix and a users'"'"' received correlation matrix to produce an external-feedback vector, and subtracting the external-feedback vector from the despread signal vector for producing a difference error vector that is scaled by a scalar stabilizing step size; and

the internal feedback loop configured to multiply a vector of the plurality of weighted symbol estimates by an implementation matrix to produce an internal-feedback vector, the internal-feedback vector being summed with a vector derived from the scaled error signal.

22. The suppressor recited in claim 21, wherein

the external feedback loop is configured to multiply the input symbol estimate, {circumflex over (b)}^[i], by both the weighting matrix Γ

^[i] and the users'"'"' received correlation matrix R to produce the external-feedback vector, RΓ

^{[i]{circumflex over (b)}[i]}, which is subtracted from the despread signal vector q in order to produce the difference error vector, q−

RΓ

^[i]{circumflex over (b)}^[i]; and

the internal feedback loop is configured to multiply the weighted symbol estimates,Γ

^[i]{circumflex over (b)}, by the implementation matrix F to produce the internal-feedback vector, FΓ

^[i]{circumflex over (b)}^[i], which is summed with the difference error vector produced by the external feedback loop, q−

RΓ

^[i]{circumflex over (b)}^[i], that has been scaled by the stabilizing step size) μ

<sup>[i], to produce FΓ

[i]</sup>{circumflex over (b)}^[i](q−

R^{[i]{circumflex over (b)}[i]}).

5. An interference suppressor for suppressing interference in a received signal from a channel, the suppressor configured for performing at least one iteration to produce at least one interference-suppressed symbol estimate, the suppressor comprising:

a synthesizing module configured to synthesize one or more constituent signals corresponding to one or more sources in the channel from a plurality of symbol estimates, and to produce a combined signal therefrom;

a subtraction module configured to subtract the combined signal from the received signal to produce an error signal; and

a weighting module configured to multiply input symbol estimates by weights having magnitudes derived from merits of the input symbol estimates.

7. An interference suppressor for suppressing interference in a received signal from a channel, the suppressor configured for performing at least one iteration to produce at least one interference-suppressed symbol estimate, the suppressor comprising:

a synthesizing module configured to synthesize one or more constituent signals corresponding to one or more sources in the channel from a plurality of symbol estimates, and to produce a combined signal therefrom; and

a subtraction module configured to subtract the combined signal from the received signal to produce an error signal;

wherein the constituent signals are characterized by at least one of a set of signals, the set comprising received signals associated with a plurality of Rake fingers and received signals associated with a plurality of symbol sources.

13. An interference suppressor for suppressing interference in a received signal from a channel, the suppressor configured for performing at least one iteration to produce at least one interference-suppressed symbol estimate, the suppressor comprising:

a synthesizing module configured to synthesize one or more constituent signals corresponding to one or more sources in the channel from a plurality of symbol estimates, and to produce a combined signal therefrom;

a subtraction module configured to subtract the combined signal from the received signal to produce an error signal; and

a decision module configured to produce a decision for at least one of the symbol estimates, the decision selected from one of a hard decision quantizing at least one of the symbol estimates to a nearby constellation point, and a soft decision, scaling, but not quantizing, the at least one of the symbol estimates.

14. The suppressor recited in claim 13, wherein the decision module comprises a de-bias module configured to remove bias, as computed on the symbol estimates, before performing the decision.

15. An interference suppressor for suppressing interference in a received signal from a channel, the suppressor configured for performing at least one iteration to produce at least one interference-suppressed symbol estimate, the suppressor comprising:

a synthesizing module configured to synthesize one or more constituent signals corresponding to one or more sources in the channel from a plurality of symbol estimates, and to produce a combined signal therefrom; and

a subtraction module configured to subtract the combined signal from the received signal to produce an error signal;

wherein the suppressor is configured for performing synthesis and resolution into one or more constituent signals corresponding to each of the sources in the channel in an outer feedback loop, and updating symbol estimates in an inner feedback loop employing an implementation matrix.

16. The suppressor recited in claim 15, wherein synthesis and resolution comprise constructing the one or more constituent signals from source, channel, and receiver effects.

17. The suppressor recited in claim 15, wherein the implementation matrix comprises one of an identity matrix and a transmit-signal correlation matrix.

19. An interference suppressor for suppressing interference in a received signal from a channel, the suppressor configured for performing at least one iteration to produce at least one interference-suppressed symbol estimate, the suppressor comprising:

a synthesizing module configured to synthesize one or more constituent signals corresponding to one or more sources in the channel from a plurality of symbol estimates, and to produce a combined signal therefrom; and

a subtraction module configured to subtract the combined signal from the received signal to produce an error signal;

wherein the suppressor is configured for performing symbol-level interference suppression on despread signals with a one-step matrix update equation expressing a representation of user correlations, an implementation matrix, a soft-weighting matrix, a de-biasing matrix, and a scalar stabilizing step size.

20. The suppressor recited in claim 19, wherein the one-step matrix update equation is expressed by

{circumflex over (b)}^[i+1]=Ψ

{D^[i](μ

^[i](q−

RΓ

^[i]{circumflex over (b)}^[i])+FΓ

^[i]{circumflex over (b)}^[i])},

wherein {circumflex over (b)}^[i] is a column vector containing the input symbol estimates after an i^th iteration of interference suppression, q is a vector of the despread received signal, μ

^[i] is a scalar stabilizing step, Γ

^[i] is a weighting matrix used for scaling the input symbol estimates, R is a received-signal correlation matrix, F is an implementation matrix, D^[i] is a de-biasing matrix, and Ψ

returns a mixed (hard- or soft-) decision for each element of its input vector to produce the plurality of updated symbol estimates {circumflex over (b)}^[i+1].

23. An interference suppression method for suppressing interference in a received signal from a channel, the method configured for performing at least one iteration to produce an interference-suppressed symbol estimate, the method comprising:

configuring a processor to

synthesize one or more constituent signals corresponding to one or more sources in the channel from a plurality of symbol estimates;

produce a combined signal therefrom;

subtract the combined signal from the received signal to produce an error signal; and

scale the error signal by a stabilizing step size to produce a scaled error signal.

24. The method recited in claim 23, wherein the one or more sources in the channel correspond to one or more users.

25. The method recited in claim 23, wherein the one or more sources in the channel correspond to one or more fingers.

26. The method recited in claim 23, wherein the constituent signals are synthesized using a Walsh coder and a pseudo-noise (PN) coder.

27. The method recited in claim 23, wherein the processor is further configured for suppressing at least one of intra-cell interference and inter-cell interference.

29. The method recited in claim 23, wherein the processor is further configured for adding the constituent signals to the scaled error signal to produce one or more interference-suppressed signals.

31. The method recited in claim 23, further configured for performing iterative interference suppression in a receiver, wherein the processor is further configured to synthesize the constituent signals to approximate estimated received signals employing the constituent signals for each of the sources in the channel and the plurality of symbol estimates.

32. The method recited in claim 31, wherein the processor is further configured to synthesize a subset of the sources for producing the combined signal.

33. The method recited in claim 23, wherein the processor is further configured to resolve the scaled error signal onto one or more constituent signals corresponding to each of the sources in the channel to produce a resolved error signal, and to combine the resolved error signal with the input symbol estimates to produce the interference-suppressed symbol estimates.

34. The method recited in claim 33, wherein configuring the processor to resolve comprises configuring the processor to resolve the interference-suppressed symbol estimates onto one or more user code waveforms.

35. The method recited in claim 23, wherein the processor is further configured to produce a scalar stabilizing step size for improving convergence of a plurality of iterations.

37. The method recited in claim 35, wherein producing a decision comprises removing bias computed on the symbol estimates before producing the decision.

41. The method recited in claim 23, wherein the processor is further configured to reside in at least one of a set of devices, the set comprising a subscriber-side device configured for processing forward-link signals, and a server-side device for processing reverse-link signals.

44. The method recited in claim 23, wherein the processor is further configured for employing an internal feedback loop process and an external feedback loop process;

the external feedback loop process comprising multiplying a vector of the input symbol estimates by a weighting matrix and a users'"'"' received correlation matrix to produce an external-feedback vector, and subtracting the external-feedback vector from the despread signal vector for producing a difference error vector that is scaled by a scalar stabilizing step size; and

the internal feedback loop process comprising multiplying a vector of the plurality of weighted symbol estimates by an implementation matrix to produce an internal-feedback vector, and summing the internal-feedback vector with a vector derived from the scaled error signal.

45. The method recited in claim 44, wherein the external feedback loop process comprises multiplying the input symbol estimate, {circumflex over (b)}^[i], by both the weighting matrix Γ

^[i] and the users'"'"' received correlation matrix R to produce the external-feedback vector, RΓ

^[i]{circumflex over (b)}^[i], which is subtracted from the despread signal vector q in order to produce the difference error vector, qRΓ

^[i]{circumflex over (b)}^[i]; and

the internal feedback loop process comprising multiplying the weighted symbol estimates, Γ

^[i]{circumflex over (b)}^[i], by the implementation matrix F to produce the internal-feedback vector, FΓ

^[i]{circumflex over (b)}^[i], and summing the internal-feedback vector with the difference error vector produced by the external feedback loop process, q−

RΓ

^[i]{circumflex over (b)}^[i], that has been scaled by the stabilizing step size μ

^[i], to produce FΓ

^[i]{circumflex over (b)}^[i]+μ

^[i](q−

RΓ

^[i]{circumflex over (b)}^[i]).

28. An interference suppression method for suppressing interference in a received signal from a channel, the method configured for performing at least one iteration to produce an interference-suppressed symbol estimate, the method comprising:

configuring a processor to

synthesize one or more constituent signals corresponding to one or more sources in the channel from a plurality of symbol estimates;

produce a combined signal therefrom;

subtract the combined signal from the received signal to produce an error signal; and

weight by multiplying input symbol estimates by weights having magnitudes derived from merits of the symbol estimates.

30. An interference suppression method for suppressing interference in a received signal from a channel, the method configured for performing at least one iteration to produce an interference-suppressed symbol estimate, the method comprising:

configuring a processor to

synthesize one or more constituent signals corresponding to one or more sources in the channel from a plurality of symbol estimates;

produce a combined signal therefrom; and

subtract the combined signal from the received signal to produce an error signal;

wherein the constituent signals are characterized by at least one of a set of signals, the set comprising received signals associated with a plurality of Rake fingers and received signals associated with a plurality of symbol sources.

36. An interference suppression method for suppressing interference in a received signal from a channel, the method configured for performing at least one iteration to produce an interference-suppressed symbol estimate, the method comprising:

configuring a processor to

synthesize one or more constituent signals corresponding to one or more sources in the channel from a plurality of symbol estimates;

produce a combined signal therefrom;

subtract the combined signal from the received signal to produce an error signal;

produce a decision for at least one of the symbol estimates, the decision selected from one of a hard decision quantizing at least one of the symbol estimates to a nearby constellation point, and a soft decision, scaling, but not quantizing, the at least one of the symbol estimates.

38. An interference suppression method for suppressing interference in a received signal from a channel, the method configured for performing at least one iteration to produce an interference-suppressed symbol estimate, the method comprising:

configuring a processor to

synthesize one or more constituent signals corresponding to one or more sources in the channel from a plurality of symbol estimates;

produce a combined signal therefrom;

subtract the combined signal from the received signal to produce an error signal;

perform synthesis and resolution onto one or more constituent signals corresponding to each of the sources in the channel in an outer feedback loop, and update symbol estimates in an inner feedback loop employing an implementation matrix.

39. The method recited in claim 38, wherein configuring a processor to performing synthesis and resolution comprises configuring a processor to construct the one or more constituent signals from source, channel, and receiver effects.

40. The method recited in claim 38, wherein the implementation matrix comprises one of an identity matrix and a transmit-signal correlation matrix.

42. An interference suppression method for suppressing interference in a received signal from a channel, the method configured for performing at least one iteration to produce an interference-suppressed symbol estimate, the method comprising:

configuring a processor to

synthesize one or more constituent signals corresponding to one or more sources in the channel from a plurality of symbol estimates;

produce a combined signal therefrom;

subtract the combined signal from the received signal to produce an error signal; and

perform symbol-level interference suppression on despread signals with a one-step matrix update equation expressing a representation of user correlations, an implementation matrix, a soft-weighting matrix, a de-biasing matrix, and a scalar stabilizing step size.

43. The method recited in claim 42, wherein the one-step matrix update equation is expressed by

{circumflex over (b)}^[i+1]=Ψ

{D^[i](μ

^[i](q−

RΓ

^[i]{circumflex over (b)}^[i])+FΓ

^[i]{circumflex over (b)}^[i])},

wherein {circumflex over (b)}^[i] is a column vector containing the input symbol estimates after an i^th iteration of interference suppression, q is a vector of the despread received signal, μ

^[i] is a scalar stabilizing step, Γ

^[i] is a weighting matrix used for scaling the input symbol estimates, R is a received-signal correlation matrix, F is an implementation matrix, D^[i] is a de-biasing matrix, and Ψ

returns a mixed (hard- or soft-) decision for each element of its input vector to produce the plurality of updated symbol estimates {circumflex over (b)}^[i+1].

46. An interference suppression system for suppressing interference in a received signal from a channel, the system configured for performing at least one iteration to produce an interference-suppressed symbol estimate, the system comprising:

a synthesizing means configured to synthesize one or more constituent signals corresponding to one or more sources in the channel from a plurality of symbol estimates, and producing a combined signal therefrom;

a subtraction means configured to subtract the combined signal from the received signal to produce an error signal; and

a stabilizing step size means configured for scaling the error signal by a stabilizing step size to produce a scaled error signal.

47. The system recited in claim 46, wherein the one or more sources in the channel correspond to one or more users.

48. The system recited in claim 46, wherein the one or more sources in the channel correspond to one or more fingers.

49. The system recited in claim 46, wherein the synthesizing means comprises a Walsh coder and a pseudo-noise (PN) coder.

51. The system recited in claim 46, further comprising a combining means configured for adding the constituent signals to the scaled error signal to produce one or more interference-suppressed signals.

52. The system recited in claim 46, wherein the constituent signals are characterized by at least one of a set of signals, the set comprising received signals associated with a plurality of Rake fingers and received signals associated with a plurality of symbol sources.

53. The system recited in claim 46, further configured for performing iterative interference suppression in a receiver, wherein the synthesizing means is configured to synthesize the constituent signals corresponding to each of the one or more sources in the channel to approximate estimated received signals employing the constituent signals for each of the sources in the channel and the plurality of symbol estimates.

54. The system recited in claim 53, wherein the synthesizing means is configured to synthesize a subset of the sources for producing the combined signal.

55. The system recited in claim 46, further comprising a resolving means configured to resolve the scaled error signal onto one or more constituent signals corresponding to one or more sources in the channel to produce a resolved error signal, and a combining means configured to combine the resolved error signal with the weighted input symbol estimates to produce the interference-suppressed symbol estimates.

56. The system recited in claim 55, wherein the resolving means is further configured to resolve the interference-suppressed symbol estimates onto one or more user code waveforms.

57. The system recited in claim 46, wherein the stabilizing step size means is configured to produce a scalar stabilizing step size for improving convergence of a plurality of iterations.

58. The system recited in claim 46, further comprising a decision means configured to produce a decision for at least one of the symbol estimates, the decision selected from one of a hard decision quantizing at least one of the symbol estimates to a nearby constellation point, and a soft decision, scaling, but not quantizing, the at least one of the symbol estimates.

59. The system recited in claim 58, wherein the decision means comprises a de-biasing means configured to remove bias, as computed on the symbol estimates, before producing the decision.

60. The system recited in claim 46, configured for performing synthesis and resolution onto one or more constituent signals corresponding to one or more sources in the channel in an outer feedback loop, and updating symbol estimates in an inner feedback loop employing an implementation matrix.

61. The system recited in claim 60, wherein synthesis and resolution comprise constructing the one or more constituent signals from source, channel, and receiver effects.

62. The system recited in claim 60, wherein the implementation matrix comprises one of an identity matrix and a transmit-signal correlation matrix.

63. The system recited in claim 46, configured to reside in at least one of a set of devices, the set comprising a subscriber-side device configured for processing forward-link signals, and a server-side device for processing reverse-link signals.

64. The system recited in claim 46, configured for performing symbol-level interference suppression on despread signals with a one-step matrix update equation expressing a representation of user correlations, an implementation matrix, a soft-weighting matrix, a de-biasing matrix, and a scalar stabilizing step size.

65. The system recited in claim 64, wherein the one-step matrix update equation is expressed by

{circumflex over (b)}^[i+1]=Ψ

{D^[i](μ

^[i](q−

RΓ

^[i]{circumflex over (b)}^[i])+FΓ

^[i]{circumflex over (b)}^[i])},

wherein {circumflex over (b)}^[i] is a column vector containing the input symbol estimates after an i^th iteration of interference suppression, q is a vector of the despread received signal, μ

^[i] is a scalar stabilizing step, Γ

^[i] is a weighting matrix used for scaling the input symbol estimates, R is a received-signal correlation matrix, F is an implementation matrix, D^[i] is a de-biasing matrix, and Ψ

returns a mixed (hard- or soft-) decision for each element of its input vector to produce the plurality of updated symbol estimates {circumflex over (b)}^[i+1].

66. The system recited in claim 46, configured as an internal feedback loop and an external feedback loop;

the external feedback loop configured to multiply a vector of the input symbol estimates by a weighting matrix and a users'"'"' received correlation matrix to produce an external-feedback vector, and subtracting the external-feedback vector from the despread signal vector for producing a difference error vector that is scaled by a scalar stabilizing step size; and

the internal feedback loop configured to multiply a vector of the plurality of weighted symbol estimates by an implementation matrix to produce an internal-feedback vector, the internal-feedback vector being summed with a vector derived from the scaled error signal.

67. The system recited in claim 66, wherein

the external feedback loop is configured to multiply the input symbol estimate, {circumflex over (b)}^[i], by both the weighting matrix Γ

^[i] and the users'"'"' received correlation matrix R to produce the external-feedback vector, RΓ

^[i]{circumflex over (b)}^[i], which is subtracted from the despread signal vector q in order to produce the difference error vector, q−

RΓ

^[i]{circumflex over (b)}^[i]; and

the internal feedback loop is configured to multiply the weighted symbol estimates, Γ

^[i]{circumflex over (b)}^[i], by the implementation matrix F to produce the internal-feedback vector, FΓ

^[i]{circumflex over (b)}^[i], which is summed with the difference error vector produced by the external feedback loop, q−

RΓ

^[i]{circumflex over (b)}^[i], that has been scaled by the stabilizing step size μ

^[i], to produce FΓ

^[i]{circumflex over (b)}^[i]+μ

^[i](q−

RΓ

^[i]{circumflex over (b)}^[i]).

50. An interference suppression system for suppressing interference in a received signal from a channel, the system configured for performing at least one iteration to produce an interference-suppressed symbol estimate, the system comprising:

a synthesizing means configured to synthesize one or more constituent signals corresponding to one or more sources in the channel from a plurality of symbol estimates, and producing a combined signal therefrom;

a subtraction means configured to subtract the combined signal from the received signal to produce an error signal; and

a weighting means configured to multiply input symbol estimates by weights having magnitudes derived from merits of the one or more symbol estimates.