Reduced complexity soft value generation for multiple-input multiple-output (MIMO) joint detection generalized RAKE (JD-GRAKE) receivers

• US 7,397,843 B2
• Filed: 08/04/2004
• Issued: 07/08/2008
• Est. Priority Date: 08/04/2004
• Status: Expired due to Fees

• Current Assignee: Telefonaktiebolaget LM Ericsson
• Original Assignee: Telefonaktiebolaget LM Ericsson
• Inventors: Molnar, Karl, Grant, Stephen
• Primary Examiner(s): Ghayour; Mohammad
• Assistant Examiner(s): Torres; Juan A.
• Application Number:
  US10/911,969
• Publication Number:
  US 20060029124A1
• Time in Patent Office: 1,434 Days
• Field of Search: 375/148, 375/150, 375/267, 375/347, 455/101
• US Class Current: 375/148
• CPC Class Codes: H04B 1/71057 using maximum-likelihood sequence estimation [MLSE]
• CPC Class Codes: H04B 1/7115 Constructive combining of multi-path signals, i.e. RAKE receivers
• 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
• CPC Class Codes: H04B 7/0848 Joint weighting

Abstract

A receiver includes a receiver circuit that decodes multiple signals of interest contained in a composite receive signal. The receiver comprises at least one Generalized RAKE combining circuit and a joint demodulation circuit and generates a detected signal at an output. The joint demodulation circuit contains a reduced search soft value generator circuit and generates soft bit values that represent coded bits received from the transmitter.

Claims

1. A method of processing a received composite communications signal that includes two or more signals of interest, the method comprising the steps of:

generating combining weights as a function of impairment correlations for despread values of the input signals;

combining the despread values according to the combining weights; and

,

jointly detecting the signals of interest based on the combined despread values and mixing between symbols in a detection metric;

wherein said step of jointly detecting the signals of interest further comprises jointly demodulating the combined despread values to obtain soft values representing estimates of detected bits in the signals of interest;

wherein said step of jointly demodulating the combined despread values to obtain soft values representing estimates of detected bits in the signals of interest further comprises generating soft values by a non-exhaustive tree search technique;

wherein said step of generating soft values by a non-exhaustive tree search technique further comprises the steps of;

generating a causal factorization of a s-parameter matrix;

generating first symbol estimates of a transmitted symbol vector;

generating a reduced set of cumulative metrics based on the causal factorization of the s-parameter

matrix and first symbol estimates of the transmitted symbol vector by producing a set of cumulative metrics using an m-algorithm processor; and

generating soft bit values based on the set of cumulative metrics produced by the m-algorithm processor.

2. The method of claim 1, further comprising providing the soft values to a decoder circuit, and decoding the soft values to obtain detected bits for each signal of interest.

3. The method of claim 1, wherein said step of jointly demodulating the combined despread values to obtain soft values representing estimates of detected bits in the signals of interest further comprises generating soft values by a list sphere decoder.

4. The method of claim 1, wherein said step of generating soft values by a non-exhaustive tree search technique further comprises generating soft value by an m-algorithm.

5. The method of claim 1, wherein said step of generating soft values by a non-exhaustive tree search technique further comprises generating detection metrics that are cumulative over transmit antennas.

6. The method of claim 1, wherein producing a set of cumulative metrics by an m-algorithm processor comprises:

generating a complete set of branch hypotheses;

computing a complete set of branch metrics based on the complete set of branch hypotheses;

computing cumulative metrics based on the complete set of branch hypotheses;

selecting the set of cumulative metrics; and

outputting the set of cumulative metrics.

7. The method of claim 1, wherein the signals of interest share the same channelization or spreading code.

8. The method of claim 1, wherein the signals of interest are representative of signals transmitted by different transmitting antennas.

9. The method of claim 1, wherein the signals of interest are a subset of a larger set of signals, and wherein interference resulting from those signals in the larger set that are not the signals of interest is canceled by the combining weights.

10. A receiver for processing a received composite communications signal that includes two or more signals of interest, said receiver comprising:

a plurality of correlator banks and a combiner for a generating combining weights as a function of impairment correlations for despread values of the input signals and for combining the despread values according to the combining weights; and

a reduced search soft value generator for jointly detecting the signals of interest based on the combined despread values and mixing between symbols in a detection metric;

wherein said reduced search soft value generator jointly detects the signals of interest by jointly demodulating the combined despread values to obtain soft values representing estimates of detected bits in the signals of interest; and

,

wherein said reduced search soft value generator uses a non-exhaustive tree search technique to generate the soft values by performing the following steps;

generating a causal factorization of a s-parameter matrix;

generating first symbol estimates of a transmitted symbol vector;

generating a reduced set of cumulative metrics based on the causal factorization of the s-parameter matrix and first symbol estimates of the transmitted symbol vector by producing a set of cumulative metrics using an m-algorithm processor; and

generating soft bit values based on the set of cumulative metrics produced by the m-algorithm processor.

11. The receiver of claim 10, further comprising a decoder circuit that receives the soft values and decodes the soft values to obtain detected bits for each signal of interest.

12. The receiver of claim 10, wherein said reduced search soft value generator uses a list sphere decoder to generate the soft values.

13. The receiver of claim 10, wherein said reduced search soft value generator uses a non-exhaustive tree search technique which implements an m-algorithm to generate the soft values.

14. The receiver of claim 10, wherein said reduced search soft value generator uses a non-exhaustive tree search technique to generate detection metrics that are cumulative over transmit antennas.

15. The receiver of claim 10, wherein said m-algorithm processor produces the set of cumulative metrics by performing the following steps:

generating a complete set of branch hypotheses;

computing a complete set of branch metrics based on the complete set of branch hypotheses;

computing cumulative metrics based on the complete set of branch hypotheses;

selecting the set of cumulative metrics; and

outputting the set of cumulative metrics.

16. The receiver of claim 10, wherein the signals of interest share the same channelization or spreading code.

17. The receiver of claim 10, wherein the signals of interest are representative of signals transmitted by different transmitting antennas.

18. The receiver of claim 10, wherein the signals of interest are a subset of a larger set of signals, and wherein interference resulting from those signals in the larger set that are not the signals of interest is canceled by the combining weights.

19. A wireless communication system, comprising:

a base station for transmitting a composite communications signal;

a mobile terminal for receiving and processing the composite communications signal that includes two or more signals of interest by performing the following steps;

generating combining weights as a function of impairment correlations for despread values of the input signals;

combining the despread values according to the combining weights; and

,

jointly detecting the signals of interest based on the combined despread values and mixing between symbols in a detection metric, wherein said step of jointly detecting the signals of interest further comprises jointly demodulating the combined despread values to obtain soft values representing estimates of detected bits in the signals of interest;

wherein said step of jointly demodulating the combined despread values to obtain soft values representing estimates of detected bits in the signals of interest comprises generating soft values by a non-exhaustive tree search technique;

wherein said step of generating soft values by a non-exhaustive tree search technique comprises the steps of;

generating a causal factorization of a s-parameter matrix;

generating first symbol estimates of a transmitted symbol vector;

generating a reduced set of cumulative metrics based on the causal factorization of the s-parameter

matrix and first symbol estimates of the transmitted symbol vector by producing a set of cumulative metrics using an m-algorithm processor; and

,

generating soft bit values based on the set of cumulative metrics produced by the m-algorithm processor.

20. The wireless communication system of claim 19, wherein said mobile terminal uses a list sphere decoder to generate the soft values.

21. A mobile terminal comprising:

a plurality of receive antennas for receiving a composite communications signal; and

a receiver including;

a plurality of correlator banks and a combiner for a generating combining weights as a function of impairment correlations for despread values of the input signals and for combining the despread values according to the combining weights; and

a reduced search soft value generator for jointly detecting the signals of interest based on the combined despread values and mixing between symbols in a detection metric, wherein said reduced search soft value generator jointly detects the signals of interest by jointly demodulating the combined despread values to obtain soft values representing estimates of detected bits in the signals of interest; and

,

wherein said reduced search soft value generator uses a non-exhaustive tree search technique to generate the soft values by performing the following steps;

generating a causal factorization of a s-parameter matrix;

generating first symbol estimates of a transmitted symbol vector;

generating a reduced set of cumulative metrics based on the causal factorization of the s-parameter matrix and first symbol estimates of the transmitted symbol vector by producing a set of cumulative metrics using an m-algorithm processor; and

generating soft bit values based on the set of cumulative metrics produced by the m-algorithm processor.

22. The mobile terminal of claim 21, wherein said reduced search soft value generator uses a non-exhaustive tree search technique which implements an m-algorithm to generate the soft values.

23. The mobile terminal of claim 21, wherein said reduced search soft value generator uses a non-exhaustive tree search technique to generate detection metrics that are cumulative over transmit antennas.

24. A base station comprising:

a plurality of transmit antennas for transmitting a composite communications signal to a mobile terminal that includes;

a plurality of receive antennas for receiving a composite communications signal; and

a receiver including;

a plurality of correlator banks and a combiner for a generating combining weights as a function of impairment correlations for despread values of the input signals and for combining the despread values according to the combining weights; and

a reduced search soft value generator for jointly detecting the signals of interest based on the combined despread values and mixing between symbols in a detection metric;

wherein said reduced search soft value generator jointly detects the signals of interest by jointly demodulating the combined despread values to obtain soft values representing estimates of detected bits in the signals of interest; and

,

wherein said reduced search soft value generator uses a non-exhaustive tree search technique to generate the soft values by performing the following steps;

generating a causal factorization of a s-parameter matrix;

generating first symbol estimates of a transmitted symbol vector;

generating a reduced set of cumulative metrics based on the causal factorization of the s-parameter matrix and first symbol estimates of the transmitted symbol vector by producing a set of cumulative metrics using an m-algorithm processor; and

generating soft bit values based on the set of cumulative metrics produced by the m-algorithm processor.

25. The base station of claim 24, wherein said reduced search soft value generator uses a non-exhaustive tree search technique which implements an m-algorithm to generate the soft values.

26. The base station of claim 24, wherein said reduced search soft value generator uses a non-exhaustive tree search technique to generate detection metrics that are cumulative over transmit antennas.