Apparatus, methods and computer program products for delay selection in a spread-spectrum receiver

• US 20050078742A1
• Filed: 10/06/2004
• Published: 04/14/2005
• Est. Priority Date: 12/22/2000
• Status: Active Grant

• Current Assignee: Telefonaktiebolaget LM Ericsson
• Original Assignee: Telefonaktiebolaget LM Ericsson
• Inventors: Khayrallah, Ali S., Bottomley, Gregory E., Cairns, Douglas
• Granted Patent: US 7,769,078 B2
• Time in Patent Office: Days
• US Class Current: 375/148
• CPC Class Codes: H04B 1/709 Correlator structure
• CPC Class Codes: H04B 1/7117 Selection, re-selection, allocation or re-allocation of paths to fingers, e.g. timing offset control of allocated fingers
• 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 2201/709727 GRAKE type RAKE receivers

Abstract

Channel and correlation characteristics are determined for a composite signal. Respective combining weights for information from the composite signal are determined for respective ones of a plurality of candidate delays based on the determined channel and correlation characteristics. A group of delays, e.g., RAKE correlator delays or chip equalizer filter taps, is selected from the plurality of candidate delays based on the determined weights. Information from the composite signal for the selected delays is processed according to a spreading code to generate a symbol estimate. The invention may be embodied as methods, apparatus and computer program products.

Claims

1. A method of recovering a signal from a composite signal, including signals from one or more sources, the method comprising:

determining channel and correlation characteristics for the composite signal;

determining respective combining weights for information from the composite signal for respective ones of a plurality of candidate delays based on the determined channel and correlation characteristics;

selecting a group of delays from the plurality of candidate delays based on the determined combining weights; and

processing information from the composite signal for the selected delays according to a spreading code to generate a symbol estimate.

2. A method according to claim 1, wherein selecting a group of delays from the plurality of candidate delays based on the determined combining weights comprises selecting a group of delays having greatest corresponding combining weights.

3. A method according to claim 2:

wherein determining channel and correlation characteristics comprises identifying a time-domain channel response and quantity correlation; and

wherein determining respective combining weights comprises determining the respective combining weights from the time-domain channel response and quantity correlation.

4. A method according to claim 3, wherein the quantity correlation comprises a noise covariance.

5. A method according to claim 2:

wherein determining channel and correlation characteristics comprises determining a weight frequency response including noise information; and

wherein determining respective combining weights comprises determining the respective combining weights from the weight frequency response.

6. A method according to claim 5, wherein determining a weight frequency response comprises:

determining a channel frequency response;

determining a white noise variance and an aggregate signal energy for the plurality of sources; and

determining the weight frequency response from the channel frequency response, the white noise variance and the aggregate signal energy.

7. A method according to claim 5:

wherein determining the respective combining weights from the weight frequency response comprises converting the weight frequency response to a time-domain weight model comprising a plurality of signal taps and corresponding coefficients; and

wherein selecting a group of delays from the plurality of candidate delays based on the determined combining weights comprises selecting a group of signal taps from the plurality of signal taps based on the coefficients.

8. A method according to claim 1, wherein selecting a group of delays from the plurality of candidate delays based on the determined combining weights comprises:

selecting a first delay for inclusion in the group of delays;

generating a signal and noise content estimate for a second delay from a weight associated with the first delay; and

selecting the second delay for inclusion in the group of delays based on the generated signal and noise content estimate.

9. A method according to claim 8, wherein generating a signal and noise content estimate comprises:

determining a correlation between composite signal information for the first delay and composite signal information for the second delay; and

generating the signal and noise content estimate for the second delay from the correlation and the weight associated with the first delay.

10. A method according to claim 9, wherein generating a signal and noise content estimate from the correlation and the weight associated with the first delay comprises generating the signal and noise content estimate without inverting a noise covariance matrix.

11. A method according to claim 8:

wherein generating a signal and noise content estimate for a second delay from a weight associated with the first delay comprises generating respective signal and noise content estimates for respective ones of the plurality of second delays from the weight associated with the first delay; and

wherein selecting the second delay for inclusion in the group of delays based on the generated signal and noise content estimate comprises selecting from among the plurality of second delays based on the signal and noise content estimates.

12. A method according to claim 11, wherein selecting from among the plurality of second delays based on the signal and noise content estimates comprises selecting second delays whose associated signal and noise content estimates indicate a greatest improvement of signal to noise ratio.

13. A method according to claim 11:

wherein selecting from among the plurality of second delays based on the signal and noise content estimates comprises selecting a first one of the second delays;

wherein determining respective combining weights for information from the composite signal for respective ones of a plurality of candidate delays based on the determined channel and correlation characteristics comprises determining new respective combining weights for respective ones of the selected group of delays including the selected first one of the second delays;

wherein generating respective signal and noise content estimates for respective ones of the plurality of second delays from the weight associated with the first delay comprises generating new signal and noise content estimates for respective ones of the plurality of second delays not yet selected; and

wherein selecting from among the plurality of second delays based on the signal and noise content estimates comprises selecting a second one of the second delays based on the new signal and noise content estimates.

14. A method according to claim 13, wherein selecting a second one of the second delays based on the new signal and noise content estimates comprises substituting the second one of the second delays for a previously selected one of the selected group of delays based on a comparison of signal and noise content estimates.

15. A method according to claim 11, wherein selecting from among the plurality of second delays based on the signal and noise content estimates comprises:

generating an aggregate signal and noise content estimate for a set of the second delays; and

determining whether to select the set of second delays for inclusion in the group of selected delays based on the aggregate signal and noise content estimate.

16. A method according to claim 1, wherein processing information from the composite signal for the selected delays according to a spreading code to generate a symbol estimate comprises:

generating respective correlations of the composite signal with the spreading code for respective ones of the selected delays; and

combining the generated correlations to generate the symbol estimate.

17. A method according to claim 1, wherein processing information from the composite signal for the selected delays according to a spreading code to generate a symbol estimate comprises:

filtering the composite signal using a filter having filter taps corresponding to respective ones of the selected delays; and

correlating the filtered spread spectrum communications signals with the spreading code to generate the symbol estimate.

18. A method according to claim 1 wherein determining channel and correlation characteristics for the composite signal comprises determining the correlation characteristic parametrically and/or non-parametrically.

19. A method according to claim 1, wherein determining channel and correlation characteristics for the composite signal comprises determining the correlation characteristic from correlations of the composite signal at the plurality of candidate delays.

20. A method of recovering a signal from a composite signal including signals from one or more sources, the method comprising:

determining channel and correlation characteristics for the composite signal;

determining respective combining weights for information from the composite signal for respective ones of a plurality of candidate delays based on the determined channel and correlation characteristics;

selecting a group of delays from the plurality of candidate delays that have combining weights meeting a predetermined criterion; and

processing information from the composite signal for the selected group of delays according to a spreading code to generate a symbol estimate.

21. A method according to claim 20, wherein selecting a group of delays from the plurality of candidate delays that have combining weights meeting a predetermined criterion comprises selecting a group of delays having greatest corresponding combining weights.

22. A method according to claim 21:

wherein determining channel and correlation characteristics comprises identifying a time-domain channel response and quantity correlation; and

wherein determining respective combining weights comprises determining the respective combining weights from the time-domain channel response and quantity correlation.

23. A method according to claim 22, wherein the quantity correlation comprises a noise covariance.

24. A method according to claim 20:

wherein determining channel and correlation characteristics comprises determining a weight frequency response including noise information; and

wherein determining respective combining weights comprises determining the respective combining weights from the weight frequency response.

25. A method according to claim 24, wherein determining a weight frequency response comprises:

determining a channel frequency response;

determining a white noise variance and an aggregate signal energy for the plurality of sources; and

determining the weight frequency response from the channel frequency response, the white noise variance and the aggregate signal energy.

26. A method according to claim 24:

wherein determining the respective combining weights from the weight frequency response comprises converting the weight frequency response to a time-domain weight model comprising a plurality of signal taps and corresponding coefficients; and

wherein selecting a group of delays from the plurality of candidate delays based on the determined combining weights comprises selecting a group of signal taps from the plurality of signal taps based on the coefficients.

27. A method of recovering a signal from a composite signal including signals from one or more sources, the method comprising:

determining channel and correlation characteristics for the composite signal;

determining respective combining weights for information from the composite signal for respective ones of a plurality of candidate delays based on the determined channel and correlation characteristics;

selecting a first delay for a group of delays;

generating a signal and noise content estimate for a second delay from a weight associated with the first delay; and

selecting the second delay for inclusion in the group of delays based on the generated signal and noise content estimate; and

processing information from the composite signal for the selected first and second delays according to a spreading code to generate a symbol estimate.

28. A method according to claim 27, wherein generating a signal and noise content estimate comprises:

determining a correlation between composite signal information for the first delay and composite signal information for the second delay; and

generating the signal and noise content estimate for the second delay from the correlation and the weight associated with the first delay.

29. A method according to claim 28, wherein generating a signal and noise content estimate from the correlation and the weight associated with the first delay comprises generating the signal and noise content estimate without inverting a noise covariance matrix.

30. A method according to claim 27:

wherein generating a signal and noise content estimate for a second delay from a weight associated with the first delay comprises generating respective signal and noise content estimates for respective ones of the plurality of second delays from the weight associated with the first delay; and

wherein selecting the second delay for inclusion in the group of delays based on the generated signal and noise content estimate comprises selecting from among the plurality of second delays based on the signal and noise content estimates.

31. A method according to claim 30, wherein selecting from among the plurality of second delays based on the signal and noise content estimates comprises selecting second delays whose associated signal and noise content estimates indicate a greatest improvement of signal to noise ratio.

32. A method according to claim 30:

wherein selecting from among the plurality of second delays based on the signal and noise content estimates comprises selecting a first one of the second delays;

wherein determining respective combining weights for information from the composite signal for respective ones of a plurality of candidate delays based on the determined channel and correlation characteristics comprises determining new respective combining weights for respective ones of the selected group of delays including the selected first one of the second delays;

wherein generating respective signal and noise content estimates for respective ones of the plurality of second delays from the weight associated with the first delay comprises generating new signal and noise content estimates for respective ones of the plurality of second delays not yet selected; and

wherein selecting from among the plurality of second delays based on the signal and noise content estimates comprises selecting a second one of the second delays based on the new signal and noise content estimates.

33. A method according to claim 32, wherein selecting a second one of the second delays based on the new signal and noise content estimates comprises substituting the second one of the second delays for a previously selected one of the selected group of delays based on a comparison of signal and noise content estimates.

34. A method according to claim 30, wherein selecting from among the plurality of second delays based on the signal and noise content estimates comprises:

generating an aggregate signal and noise content estimate for a set of the second delays; and

determining whether to select the set of second delays for inclusion in the group of selected delays based on the aggregate signal and noise content estimate.

35. A spread spectrum communications receiver comprising:

a radio processor configured to receive a radio signal including signals from one or more sources and to produce a composite baseband signal including signals from one or more sources; and

a baseband processor configured to determine channel and correlation characteristics for the composite signal, to determine respective combining weights for information from the composite signal for respective ones of a plurality of candidate delays based on the determined channel and correlation characteristics, to select a group of delays from the plurality of candidate delays based on the determined combining weights, and to process information from the composite signal for the selected delays according to a spreading code to generate a symbol estimate.

36. A receiver according to claim 35, wherein the baseband processor is operative to select a group of delays having greatest corresponding combining weights.

37. A receiver according to claim 36, wherein the baseband processor is operative to identify a time-domain channel response and quantity correlation and to determine the respective combining weights from the time-domain channel response and quantity correlation.

38. A receiver according to claim 37, wherein the quantity correlation comprises a noise covariance.

39. A receiver according to claim 36, wherein the baseband processor is operative to determine a weight frequency response including noise information and to determine the respective combining weights from the weight frequency response.

40. A receiver according to claim 35, wherein the baseband processor is operative to generate a signal and noise content estimate for a second delay from a weight associated with a first delay and to select the second delay for inclusion in the group of delays based on the generated signal and noise content estimate.

41. A receiver according to claim 40, wherein the baseband processor is operative to generate an aggregate signal and noise content estimate for a set of the second delays, and to determine whether to select the set of second delays for inclusion in the group of selected delays based on the aggregate signal and noise content estimate.

42. A receiver according to claim 35, wherein the baseband processor is operative to generate respective correlations of the composite signal with the spreading code for respective ones of the selected delays, and to combine the generated correlations to generate the symbol estimate.

43. A receiver according to claim 35, wherein the baseband processor is operative to filter the composite signal using a filter having filter taps corresponding to respective ones of the selected delays and to correlate the filtered spread spectrum communications signals with the spreading code to generate the symbol estimate.

44. A computer program product for recovering a signal from a composite signal including signals from one or more sources, the computer program product comprising computer program code embodied in a computer-readable storage medium, the computer program code comprising:

code configured to determine channel and correlation characteristics for the composite signal;

code configured to determine respective combining weights for information from the composite signal for respective ones of a plurality of candidate delays based on the determined channel and correlation characteristics;

code configured to select a group of delays from the plurality of candidate delays based on the determined combining weights; and

code configured to process information from the composite signal for the selected delays according to a spreading code to generate a symbol estimate.