Method and system for pre-equalization in a single weight spatial multiplexing MIMO system

1. A method, comprising:

orthogonalizing a received plurality spatially multiplexed communication signals by phase rotating the received plurality of spatially multiplexed communication signals;

generating a plurality of baseband combined channel estimates based on the orthogonalized received plurality of spatially multiplexed communication signals;

generating a plurality of pre-equalization weights based on the generated plurality of baseband combined channel estimates; and

feeding back a portion of the generated plurality of pre-equalization weights to a base station for modifying subsequently transmitted spatially multiplexed communication signals,

wherein at least one step of said method is performed by at least one hardware device.

2. The method according to claim 1 , further comprising:

receiving the plurality of spatially multiplexed communication signals from a plurality of transmit antennas at the base station.

3. The method according to claim 1 , further comprising:

spatially demultiplexing the received plurality of spatially multiplexed communication signals.

4. The method according to claim 1 , wherein generating the plurality of pre-equalization weights comprises:

generating the plurality of pre-equalization weights based on one or more of: a least mean squares (LMS) algorithm, a recursive least squares (RLS) algorithm, a direct matrix inversion, and a second order statistical technique.

5. The method according to claim 1 , wherein the orthogonalizing is performed on a periodic basis or a continuous basis.

6. The method according to claim 1 , wherein generating the plurality of pre-equalization weights is performed on a periodic basis or a continuous basis.

7. The method according to claim 1 , wherein the orthogonalizing includes using at least one of square waveforms, triangular waveforms and sinusoidal waveforms.

8. The method according to claim 1 , further comprising:

generating a plurality of phase and amplitude values based on the generated plurality of baseband combined channel estimates; and

modifying a phase or an amplitude of subsequently received spatially multiplexed communication signals based on the generated plurality of phase and amplitude values.

9. The method according to claim 8 , wherein generating the plurality of phase and amplitude values is based on a maximization of a signal-to-noise-ratio (SNR) or a maximization of a signal-to-interference-and-noise-ratio (SINR).

10. The method according to claim 1 , wherein the feeding back comprises:

feeding back the portion via an uplink channel.

11. A communication system, comprising:

one or more circuits for use in a receiver, the one or more circuits being configured to:

orthogonalize a received plurality of spatially multiplexed communication signals by phase rotating the received plurality of spatially multiplexed communication signals;

generate a plurality of baseband combined channel estimates based on the orthogonalized received plurality of spatially multiplexed communication signals;

generate a plurality of pre-equalization weights based on the generated plurality of baseband combined channel estimates; and

feed back a portion of the generated plurality of pre-equalization weights to a base station for modifying subsequently transmitted spatially multiplexed communication signals.

12. The system according to claim 11 , wherein the one or more circuits are further configured to receive the plurality of spatially multiplexed communication signals from a plurality of transmit antennas at the base station.

13. The system according to claim 11 , wherein the one or more circuits are further configured to spatially demultiplex the received plurality of spatially multiplexed communication signals.

14. The system according to claim 11 , wherein the one or more circuits are further configured to generate the plurality of pre-equalization weights based on one or more of: a least mean squares (LMS) algorithm, a recursive least squares (RLS) algorithm, a direct matrix inversion, and a second order statistical technique.

15. The system according to claim 11 , wherein the one or more circuits are further configured to orthogonalize on a periodic basis or a continuous basis.

16. The system according to claim 11 , wherein the one or more circuits are further configured to generate the plurality of pre-equalization weights on a periodic basis or a continuous basis.

17. The system according to claim 11 , wherein the one or more circuits are further configured to orthogonalize using at least one of square waveforms, triangular waveforms and sinusoidal waveforms.

18. The system according to claim 11 , wherein the one or more circuits are further configured to:

generate a plurality of phase and amplitude values based on the generated plurality of baseband combined channel estimates; and

modify a phase or an amplitude of subsequently received spatially multiplexed communication signals based on the generated plurality of phase and amplitude values.

19. The system according to claim 18 , wherein the one or more circuits are further configured to generate a plurality of phase and amplitude values based on a maximization of a signal-to-noise-ratio (SNR) or a maximization of a signal-to-interference-and-noise-ratio (SINR).

20. The system according to claim 11 , wherein the one or more circuits are configured to feed back the portion via an uplink channel.