Method and apparatus providing an advanced MIMO receiver that includes a signal-plus-residual interference (SPRI) detector
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
H04B-001/707
H04B-007/02
H04B-001/10
출원번호
UP-0080983
(2008-04-07)
등록번호
US-7583723
(2009-09-16)
발명자
/ 주소
Heikkilä, Markku J
출원인 / 주소
Nokia Corporation
대리인 / 주소
Harrington & Smith, PC
인용정보
피인용 횟수 :
2인용 특허 :
4
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 and inter-layer interference are suppressed; despreading each of the M output signals for generating M soft symbol estimates; and processi
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 and inter-layer interference are 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, where processing further comprises operating a signal-plus-residual interference (SPRI) detector that operates in accordance with a maximum likelihood (ML) technique. 2. A method as in claim 1, where space-time equalizing employs a linear minimum mean-square error (LMMSE) criterion. 3. 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 N<M. 4. 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: a space-time equalizer configured to operate on the N received signals to generate M output signals from which at least inter-symbol interference and interlayer interference are suppressed; a plurality of despreaders configured to despread each of the M output signals to generate 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 space-time equalizer, where said processing apparatus further comprises a signal-plus-residual-interference (SPRI) detector that operates in accordance with a maximum likelihood (ML) technique. 5. A system as in claim 4, where said space-time equalizer employs a linear minimum mean-square error (LMMSE) criterion. 6. A system as in claim 4, where the M transmit antennas are associated with a base station, where the N receive antennas are associated with a mobile station, and where N<M. 7. A Multiple Input, Multiple Output (MIMO) RF receiver, comprising: apparatus configured to receive M symbols transmitted in M parallel data layers through N receive antennas, using a same spreading code, c(k), from M transmit antennas; a space-time equalizer having N inputs coupled to said N receive antennas and M outputs coupled to individual ones of M code correlators, the space-time equalizer configured to suppress at least inter-symbol interference and inter-layer interference; a signal model generator having an input coupled to a channel estimator and an output for outputting at least a model of residual inter-layer interference; and a signal-plus-residual-interference (SPRI) detector having M inputs coupled to outputs of said M code correlators configured to receive M soft symbol estimates there from, a further input coupled to said output of said signal model generator, and M outputs configured to output M final symbol decisions that are made taking into account the residual inter-layer interference that was not removed by said space-time equalizer. 8. A MIMO RF receiver as in claim 7, where said signal model generator computes: where Ajm 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. 9. A MIMO RF receiver as in claim 8, 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. 10. A MIMO RF receiver as in claim 7, 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. 11. A MIMO RF receiver as in claim 7, where said space-time equalizer operates with a linear minimum mean-square error (LMMSE) criterion. 12. A MIMO RF receiver as in claim 7, where N<M. 13. A received signal-plus-residual-interference (SPRI) detector comprising M inputs configured to be coupled to M sources of soft symbol estimates in which inter-symbol interference and inter-layer interference have been suppressed, a further input configured to be coupled to an output of a signal model generator that models residual inter-layer interference present in an equalized received signal, and M outputs configured to output M final symbol decisions that are made taking into account the residual inter-layer interference. 14. The SPRI detector as in claim 13, where the signal model generator computes: where Ajm 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. 15. The SPRI detector as in claim 13, where the received signal is received through N receive antennas from M transmit antennas, where N≦M. 16. 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 and inter-layer interference are 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. 17. A system as in claim 16, where said processing apparatus comprises a signal-plus-residual-interference (SPRI) detector. 18. A system as in claim 17, where said SPRI detector operates in accordance with a maximum likelihood (ML) technique. 19. A system as in claim 17, where said SPRI detector operates in accordance with a Maximum a posteriori (MAP) technique. 20. A system as in claim 17, where said system forms a part of an ordered successive interference canceller (OSIC) receiver.
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (4)
McElwain,Thomas P, Deferred decorrelating decision-feedback detector for supersaturated communications.
Walton, Jay R.; Wallace, Mark; Ketchum, John W.; Howard, Steven J., Method and apparatus for processing data in a multiple-input multiple-output (MIMO) communication system utilizing channel state information.
Van Nee, Didier Johannes Richard; Vermani, Sameer; Jones, IV, Vincent Knowles; Sampath, Hemanth; Van Zelst, Albert, Flexible SDMA and interference suppression.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.