Adaptive beamforming for binary phase shift keying communication systems

被引:6
作者
Chen, S. [1 ]
Tan, S. [1 ]
Hanzo, L. [1 ]
机构
[1] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, Hants, England
关键词
adaptive beamforming; binary phase shift keying modulation; minimum mean square error; minimum bit error rate;
D O I
10.1016/j.sigpro.2006.04.007
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The paper revisits adaptive beamforming assisted receiver for multiple antenna aided multiuser systems that employ binary phase shift keying (BPSK) modulation. The standard minimum mean square error (MMSE) design is based on the criterion of minimising the mean square error (MSE) between the beamformer's desired output and complex-valued beamformer's output. Since the desired output for BPSK systems is real-valued, minimising the MSE between the beamformer's desired output and real-part of the beamformer's output can significantly improve the bit error rate (BER) performance, and we refer to this alternative MMSE design as the real-valued MMSE (RV-MMSE) to contrast to the standard complex-valued MMSE (CV-MMSE) design. The minimum BER (MBER) design however still outperforms the RV-MMSE solution, particularly for overloaded systems where degree of freedom of the antenna array is smaller than the number of BPSK users. Adaptive implementation of this RV-MMSE beamforming design is realised using a least mean square (LMS) type adaptive algorithm, which we refer to as the RV-LMS, in comparison to the standard CV-LMS algorithm. The RV-LMS adaptive beamformer is shown to have a similar computational complexity as the adaptive MBER beamforming implementation known as the least bit error rate (LBER), imposing only half of the computational requirements of the CV-LMS algorithm. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:68 / 78
页数:11
相关论文
共 21 条
[1]  
Bazaraa M.S., 1993, NONLINEAR PROGRAMMIN
[2]  
BLOGH JS, 2002, 3 GENERATION SYSTEMS
[3]   Adaptive minimum bit error rate beamforming assisted receiver for QPSK wireless communication [J].
Chen, S ;
Hanzo, L ;
Ahmad, NN ;
Wolfgang, A .
DIGITAL SIGNAL PROCESSING, 2005, 15 (06) :545-567
[4]   Adaptive minimum bit-error rate beamforming [J].
Chen, S ;
Ahmad, NN ;
Hanzo, L .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2005, 4 (02) :341-348
[5]   Adaptive minimum-BER linear multiuser detection for DS-CDMA signals in multipath channels [J].
Chen, S ;
Samingan, AK ;
Mulgrew, B ;
Hanzo, L .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2001, 49 (06) :1240-1247
[6]  
CHEN S, 2004, P ICC 2004, V6, P3389
[7]   Applications of antenna arrays to mobile communications .1. Performance improvement, feasibility, and system considerations [J].
Godara, LC .
PROCEEDINGS OF THE IEEE, 1997, 85 (07) :1031-1060
[8]   A SIMPLE ADAPTIVE ALGORITHM FOR REAL-TIME PROCESSING IN ANTENNA ARRAYS [J].
GRIFFITH.LJ .
PROCEEDINGS OF THE IEEE, 1969, 57 (10) :1696-&
[9]  
Haykin SS., 2008, ADAPTIVE FILTER THEO
[10]   Transmission strategies for the MIMO MAC with MMSE receiver: Average MSE optimization and achievable individual MSE region [J].
Jorswieck, EA ;
Boche, H .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2003, 51 (11) :2872-2881