Efficient computation of spatial filter matrices for steering transmit diversity in a MIMO communication system

• US 7,110,463 B2
• Filed: 06/30/2004
• Issued: 09/19/2006
• Est. Priority Date: 06/30/2004
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Walton, Jay Rodney, Howard, Steven J., Wallace, Mark S.
• Primary Examiner(s): VO, DON NGUYEN
• Application Number:
  US10/882,491
• Publication Number:
  US 20060002496A1
• Time in Patent Office: 811 Days
• Field of Search: 375/260, 375/267, 375/346, 375/347, 375/350
• US Class Current: 375/267
• CPC Class Codes: H04B 7/0417 Feedback systems
• CPC Class Codes: H04B 7/0626 Channel coefficients, e.g. channel state information [CSI]
• CPC Class Codes: H04B 7/0697 using spatial multiplexing
• CPC Class Codes: H04B 7/0854 using error minimizing algorithms, e.g. minimum mean squared error [MMSE], "cross-correlation" or matrix inversion

Abstract

Techniques for efficiently computing spatial filter matrices are described. The channel response matrices for a MIMO channel may be highly correlated if the channel is relatively static over a range of transmission spans. In this case, an initial spatial filter matrix may be derived based on one channel response matrix, and a spatial filter matrix for each transmission span may be computed based on the initial spatial filter matrix and a steering matrix used for that transmission span. The channel response matrices may be partially correlated if the MIMO channel is not static but does not change abruptly. In this case, a spatial filter matrix may be derived for one transmission span l and used to derive an initial spatial filter matrix for another transmission span m. A spatial filter matrix for transmission span m may be computed based on the initial spatial filter matrix, e.g., using an iterative procedure.

Claims

1. A method of deriving spatial filter matrices in a wireless multiple-input multiple-output (MIMO) communication system, comprising:

determining an initial spatial filter matrix; and

deriving a plurality of spatial filter matrices for a plurality of transmission spans based on the initial spatial filter matrix and a plurality of steering matrices used for the plurality of transmission spans.

2. The method of claim 1, wherein the initial spatial filter matrix is determined based on a channel response matrix for a MIMO channel.

3. The method of claim 2, wherein the spatial filter matrix for each of the plurality of transmission spans is derived based on the initial channel response matrix and a steering matrix used for the transmission span.

4. The method of claim 2, wherein the initial spatial filter matrix is further determined based on a steering matrix for one of the plurality of transmission spans.

5. The method of claim 3, wherein the spatial filter matrix for each of the plurality of transmission spans is derived based on the initial channel response matrix, the steering matrix used to determine the initial spatial filter matrix, and a steering matrix used for the transmission span.

6. The method of claim 1, wherein data is transmitted on orthogonal spatial channels of a MIMO channel, and wherein the initial channel response matrix is determined in accordance with a full channel state information (full-CSI) technique.

7. The method of claim 1, wherein data is transmitted on orthogonal spatial channels of a MIMO channel, and wherein the initial channel response matrix is determined in accordance with a minimum mean square error (MMSE) technique.

8. The method of claim 1, wherein data is transmitted on spatial channels of a MIMO channel, and wherein the initial channel response matrix is determined in accordance with a channel correlation matrix inversion (CCMI) technique.

9. The method of claim 1, wherein data is transmitted on spatial channels of a MIMO channel, and wherein the initial channel response matrix is determined in accordance with a minimum mean square error (MMSE) technique.

10. The method of claim 1, wherein the plurality of steering matrices are used by a transmitting entity to spatially process data to achieve transmit diversity.

11. The method of claim 1, wherein elements of the plurality of steering matrices are members of a set comprised of +1, −

1, +j, and −

j, where j is a square root of −

1.

12. The method of claim 1, wherein the plurality of transmission spans correspond to a plurality of symbol periods.

13. The method of claim 1, wherein the plurality of transmission spans correspond to a plurality of frequency subbands.

14. The method of claim 1, further comprising:

performing spatial processing on symbols received for the plurality of transmission spans with the plurality of spatial filter matrices.

15. An apparatus in a wireless multiple-input multiple-output (MIMO) communication system, comprising:

a processor operative to determine an initial spatial filter matrix and to derive a plurality of spatial filter matrices for a plurality of transmission spans based on the initial spatial filter matrix and a plurality of steering matrices used for the plurality of transmission spans; and

a memory operative to store the plurality of steering matrices.

16. The apparatus of claim 15, wherein the initial spatial filter matrix is determined based on a channel response matrix for a MIMO channel, and wherein the spatial filter matrix for each of the plurality of transmission spans is derived based on the initial channel response matrix and a steering matrix used for the transmission span.

17. The apparatus of claim 15, wherein the initial channel response matrix is determined in accordance with a full channel state information (full-CSI) technique, a minimum mean square error (MMSE) technique, or a channel correlation matrix inversion (CCMI) technique.

18. The apparatus of claim 15, wherein elements of the plurality of steering matrices are members of a set comprised of +1, −

1, +j, and −

j, where j is a square root of −

1.

19. The apparatus of claim 15, further comprising:

a spatial processor operative to perform spatial processing on symbols received for the plurality of transmission spans with the plurality of spatial filter matrices.

20. An apparatus in a wireless multiple-input multiple-output (MIMO) communication system, comprising:

means for determining an initial spatial filter matrix; and

means for deriving a plurality of spatial filter matrices for a plurality of transmission spans based on the initial spatial filter matrix and a plurality of steering matrices used for the plurality of transmission spans.

21. The apparatus of claim 20, wherein the initial spatial filter matrix is determined based on a channel response matrix for a MIMO channel, and wherein the spatial filter matrix for each of the plurality of transmission spans is derived based on the initial channel response matrix and a steering matrix used for the transmission span.

22. The apparatus of claim 20, wherein the initial channel response matrix is determined in accordance with a full channel state information (full-CSI) technique, a minimum mean square error (MMSE) technique, or a channel correlation matrix inversion (CCMI) technique.

23. The apparatus of claim 20, wherein elements of the plurality of steering matrices are members of a set comprised of +1, −

1, +j, and −

j, where j is a square root of −

1.

24. The apparatus of claim 20, further comprising:

means for performing spatial processing on symbols received for the plurality of transmission spans with the plurality of spatial filter matrices.

25. A method of deriving spatial filter matrices in a wireless multiple-input multiple-output (MIMO) communication system, comprising:

deriving a first spatial filter matrix for a first transmission span;

determining a first initial spatial filter matrix for a second transmission span based on the first spatial filter matrix; and

deriving a second spatial filter matrix for the second transmission span based on the first initial spatial filter matrix.

26. The method of claim 25, wherein the first spatial filter matrix is derived based on a channel response matrix obtained for a MIMO channel in the first transmission span and further in accordance with a receiver spatial processing technique.

27. The method of claim 25, wherein the determining the first initial spatial filter matrix comprises

processing the first spatial filter matrix to remove a first steering matrix used for the first transmission span, and wherein the first initial spatial filter matrix is equal to the first spatial filter matrix with the first steering matrix removed.

28. The method of claim 25, wherein the determining the first initial spatial filter matrix comprises:

processing the first spatial filter matrix to remove a first steering matrix used for the first transmission span and to include a second steering matrix used for the second transmission span, and wherein the first initial spatial filter matrix is equal to the first spatial filter matrix with the first steering matrix removed and the second steering matrix included.

29. The method of claim 25, wherein the second spatial filter matrix is derived using an iterative procedure that iteratively performs a set of computations on the first initial spatial filter matrix to obtain a final solution for the second spatial filter matrix.

30. The method of claim 25, further comprising:

determining a second initial spatial filter matrix for a third transmission span based on the second spatial filter matrix; and

deriving a third spatial filter matrix for the third transmission span based on the second initial spatial filter matrix.

31. The method of claim 25, wherein the first and second transmission spans correspond to two different symbol periods.

32. The method of claim 25, wherein the first and second transmission spans correspond to two different frequency subbands.

33. An apparatus in a wireless multiple-input multiple-output (MIMO) communication system, comprising:

a processor operative to derive a first spatial filter matrix for a first transmission span, determine a first initial spatial filter matrix for a second transmission span based on the first spatial filter matrix, and derive a second spatial filter matrix for the second transmission span based on the first initial spatial filter matrix.

34. The apparatus of claim 33, wherein the processor is operative to process the first spatial filter matrix to remove a first steering matrix used for the first transmission span, and wherein the first initial spatial filter matrix is equal to the first spatial filter matrix with the first steering matrix removed.

35. The apparatus of claim 33, wherein the processor is further operative to determine a second initial spatial filter matrix for a third transmission span based on the second spatial filter matrix, and to derive a third spatial filter matrix for the third transmission span based on the second initial spatial filter matrix.

36. An apparatus in a wireless multiple-input multiple-output (MIMO) communication system, comprising:

means for deriving a first spatial filter matrix for a first transmission span;

means for determining a first initial spatial filter matrix for a second transmission span based on the first spatial filter matrix; and

means for deriving a second spatial filter matrix for the second transmission span based on the first initial spatial filter matrix.

37. The apparatus of claim 36, wherein the means for determining the first initial spatial filter matrix comprises

means for processing the first spatial filter matrix to remove a first steering matrix used for the first transmission span, and wherein the first initial spatial filter matrix is equal to the first spatial filter matrix with the first steering matrix removed.

38. The apparatus of claim 36, further comprising:

means for determining a second initial spatial filter matrix for a third transmission span based on the second spatial filter matrix; and

means for deriving a third spatial filter matrix for the third transmission span based on the second initial spatial filter matrix.