초록 ▼

A method is disclosed to obtain M final symbol decisions for signals received through N receive antennas that were transmitted in M parallel data layers, using a same spreading code from M transmit antennas. The method includes space-time equalizing the N received signals to generate M output signal

A method is disclosed to obtain M final symbol decisions for signals received through N receive antennas that were transmitted in M parallel data layers, using a same spreading code from M transmit antennas. The method includes space-time equalizing the N received signals to generate M output signals from which at least inter-symbol interference is substantially removed and inter-layer interference is suppressed; despreading each of the M output signals for generating M soft symbol estimates; and processing the M soft symbol estimates to derive M final symbol decisions that are made in consideration of modeled residual inter-layer interference present in the space-time equalized M output signals. Processing includes operating a signal-plus-residual-interference (SPRI) detector that operates in accordance with a maximum likelihood (ML) technique, while space-time equalizing employs a linear minimum mean-square error (LMMSE) criterion. Transmitting may occur at a base station having the M transmit antennas, and receiving may occur at a mobile station having the N receive antennas.

대표청구항 ▼

What is claimed is: 1. A method, comprising: space-time equalizing N received signals to generate M output signals from which at least inter-symbol interference is substantially removed and inter-layer interference is suppressed; despreading each of the M output signals for generating M soft symbol

What is claimed is: 1. A method, comprising: space-time equalizing N received signals to generate M output signals from which at least inter-symbol interference is substantially removed and inter-layer interference is suppressed; despreading each of the M output signals for generating M soft symbol estimates; and processing the M soft symbol estimates to derive M final symbol decisions that are made in consideration of modeled residual inter-layer interference present in the space-time equalized M output signals. 2. A method as in claim 1, where processing includes operating a signal-plus-residual interference (SPRI) detector that operates in accordance with a maximum likelihood (ML) technique. 3. A method as in claim 1, where space-time equalizing employs a linear minimum mean-square error (LMMSE) criterion. 4. A method as in claim 1, where transmitting occurs at a base station having the M transmit antennas, where receiving occurs at a mobile station having the N receive antennas, and where Njm is the residual amplitude of the symbol from transmit antenna j when a symbol from transmit antenna m is detected by said space-time equalizer. 11. A MIMO RF receiver as in claim 10, where said SPRI detector uses a maximum-likelihood (ML) criterion to obtain the final symbol decisions as: where detection of an mth data layer is based on the outputs of all of said M code correlators. 12. A MIMO RF receiver as in claim 9, where said signal model generator generates signal models for both desired signals and for interfering signals appearing at said M outputs of said space-time equalizer. 13. A MIMO RF receiver as in claim 9, where said space-time equalizer operates with a linear minimum mean-square error (LMMSE) criterion. 14. A MIMO RF receiver as in claim 9, where Njm is the residual amplitude of a symbol from transmit antenna j when a symbol from transmit antenna m is detected by a space-time equalizer that generates the equalized received signal, and where said SPRI detector uses a maximum-likelihood (ML) criterion to obtain the final symbol decisions as: where detection of an mth data layer is based on all said M sources of soft symbol estimates. 17. The SPRI detector as in claim 15, where the received signal is received through N receive antennas from M transmit antennas, where N≦M. 18. A system to obtain M final symbol decisions for signals received through N receive antennas that were transmitted in M parallel data layers, using a same spreading code from M transmit antennas, comprising: an equalizer configured to operate on the N received signals to generate M output signals from which at least inter-symbol interference is substantially removed and inter-layer interference is suppressed; a plurality of despreaders arranged to despread each of the M output signals for generating M soft symbol estimates; and processing apparatus configured to process the M soft symbol estimates to derive M final symbol decisions that are made in consideration of modeled residual inter-layer interference present in the M output signals of said equalizer. 19. A system as in claim 18, where said processing apparatus comprises a signal-plus-residual-interference (SPRD detector. 20. A system as in claim 19, where said SPRI detector operates in accordance with a maximum likelihood (ML) technique. 21. A system as in claim 19, where said SPRI detector operates in accordance with a Maximum a posteriori (MAP) technique. 22. A system as in claim 19, where said system forms a part of an ordered successive interference canceller (OSIC) receiver.