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Linear Beamforming Assisted Receiver for Binary Phase Shift Keying Modulation Systems

Chen, S., Tan, S. and Hanzo, L. (2006) Linear Beamforming Assisted Receiver for Binary Phase Shift Keying Modulation Systems At IEEE WCNC'06, United States. 03 - 06 Apr 2006. , pp. 1741-1746.

Record type: Conference or Workshop Item (Paper)

Abstract

The paper considers 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 principle of minimising the mean square error (MSE) between the beamformer’s desired output and complex-valued beamformer 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 output can significantly improve the bit error rate (BER) performance, and we refer to this alternative MMSE design as the realvalued MMSE (RV-MMSE) to contrast to the standard complex valued MMSE (CV-MMSE). 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 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 has the same computational complexity as the adaptive least bit error (LBER) algorithm, imposing half of the computational requirements of the CV-LMS algorithm.

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More information

Published date: 2006
Additional Information: Event Dates: 3-6 April 2006
Venue - Dates: IEEE WCNC'06, United States, 2006-04-03 - 2006-04-06
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 261727
URI: http://eprints.soton.ac.uk/id/eprint/261727
PURE UUID: ce88d27e-b778-475f-aed6-e7a7fdbac49b

Catalogue record

Date deposited: 03 Jan 2006
Last modified: 18 Jul 2017 08:59

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Contributors

Author: S. Chen
Author: S. Tan
Author: L. Hanzo

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