Adaptive Minimum Bit Error Rate Beamforming
Adaptive Minimum Bit Error Rate Beamforming
An adaptive beamforming technique is proposed based on directly minimizing the bit error rate. It is demonstrated that this minimum bit error rate (MBER) approach utilizes the antenna array elements more intelligently, than the standard minimum mean square error (MMSE) approach. Consequently, MBER beamforming is capable of providing significant performance gains in terms of a reduced bit error rate over MMSE beamforming. A block-data adaptive implementation of the MBER beamforming solution is developed based on the Parzen window estimate of probability density function. Furthermore, a sample-by-sample adaptive implementation is considered, and a stochastic gradient algorithm, referred to as the least bit error rate, is derived. The proposed adaptive MBER beamforming technique provides an extension to the existing work (Mulgrew and Chen 2001, Chen et al 2001} for adaptive MBER equalization and multiuser detection.
341-348
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Ahmad, N.N.
f6105bf9-7a9b-4e91-b1fa-4372662de087
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
March 2005
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Ahmad, N.N.
f6105bf9-7a9b-4e91-b1fa-4372662de087
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Chen, S., Ahmad, N.N. and Hanzo, L.
(2005)
Adaptive Minimum Bit Error Rate Beamforming.
IEEE Transactions on Wireless Communications, 4 (2), .
Abstract
An adaptive beamforming technique is proposed based on directly minimizing the bit error rate. It is demonstrated that this minimum bit error rate (MBER) approach utilizes the antenna array elements more intelligently, than the standard minimum mean square error (MMSE) approach. Consequently, MBER beamforming is capable of providing significant performance gains in terms of a reduced bit error rate over MMSE beamforming. A block-data adaptive implementation of the MBER beamforming solution is developed based on the Parzen window estimate of probability density function. Furthermore, a sample-by-sample adaptive implementation is considered, and a stochastic gradient algorithm, referred to as the least bit error rate, is derived. The proposed adaptive MBER beamforming technique provides an extension to the existing work (Mulgrew and Chen 2001, Chen et al 2001} for adaptive MBER equalization and multiuser detection.
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Published date: March 2005
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 260714
URI: http://eprints.soton.ac.uk/id/eprint/260714
PURE UUID: 39c7a955-eae2-4be0-ad79-de04277726b0
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Date deposited: 04 Apr 2005
Last modified: 18 Mar 2024 02:33
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Author:
S. Chen
Author:
N.N. Ahmad
Author:
L. Hanzo
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