Minimum variance linear receivers for multiaccess MIMO wireless systems with space-time block coding

We consider the problem of joint space-time decoding and multiaccess interference (MAI) rejection in multiuser multiple-input multiple-output (MIMO) wireless communication systems. We address the case when both the receiver and multiple transmitters are equipped with multiple antennas and when space-time block codes (STBCs) are used to send the data simultaneously from each transmitter to the receiver. A new linear receiver structure is developed to decode the data sent from the transmitter-of-interest while rejecting MAI, self-interference, and noise. The proposed receivers are designed by minimizing the output power subject to constraints that zero-force self-interference and/or preserve a unity gain for all symbols of the transmitter-of-interest. Simulation results show that in multiaccess scenarios, the proposed techniques have substantially lower symbol error rates as compared with the matched filter (MF) receiver, which is equivalent to the maximum likelihood (ML) space-time decoder in the point-to-point MIMO communication case.

[1]  H. Vincent Poor,et al.  Blind adaptive space-time multiuser detection with multiple transmitter and receiver antennas , 2002, IEEE Trans. Signal Process..

[2]  A. Robert Calderbank,et al.  Space-Time Codes for High Data Rate Wireless Communications : Performance criterion and Code Construction , 1998, IEEE Trans. Inf. Theory.

[3]  Babak Hassibi,et al.  High-rate codes that are linear in space and time , 2002, IEEE Trans. Inf. Theory.

[4]  M. Honig,et al.  Adaptive techniques for multiuser CDMA receivers , 2000, IEEE Signal Processing Magazine.

[5]  A.R. Calderbank,et al.  Applications of space-time block codes and interference suppression for high capacity and high data rate wireless systems , 1998, Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284).

[6]  A. Robert Calderbank,et al.  Space-Time block codes from orthogonal designs , 1999, IEEE Trans. Inf. Theory.

[7]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[8]  Harry L. Van Trees,et al.  Optimum Array Processing , 2002 .

[9]  M. Gharavi-Alkhansari,et al.  Constellation space invariance of space-time block codes with application to optimal ML decoding , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[10]  A. Lee Swindlehurst,et al.  Blind and semi-blind equalization for generalized space-time block codes , 2002, IEEE Trans. Signal Process..

[11]  Georgios B. Giannakis,et al.  Capon multiuser receiver for CDMA systems with space-time coding , 2002, IEEE Trans. Signal Process..

[12]  Petre Stoica,et al.  Space-Time block codes: A maximum SNR approach , 2001, IEEE Trans. Inf. Theory.

[13]  Georgios B. Giannakis,et al.  Space-time coding for broadband wireless communications , 2003, Wirel. Commun. Mob. Comput..

[14]  David Gesbert,et al.  From theory to practice: an overview of MIMO space-time coded wireless systems , 2003, IEEE J. Sel. Areas Commun..

[15]  Mohammad Gharavi-Alkhansari,et al.  Constellation space invariance of orthogonal space-time block codes , 2005, IEEE Transactions on Information Theory.

[16]  M. Gharavi-Alkhansari,et al.  Constellation space invariance of space-time block codes with application to optimal antenna subset selection , 2003, 2003 4th IEEE Workshop on Signal Processing Advances in Wireless Communications - SPAWC 2003 (IEEE Cat. No.03EX689).