Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Mobile Radio Communications
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Digital Beamforming in Wireless Communications
Digital Beamforming in Wireless Communications
Genetic Algorithms: Concepts and Designs with Disk
Genetic Algorithms: Concepts and Designs with Disk
Third-Generation Systems and Intelligent Wireless Networking: Smart Antennas and Adaptive Modulation
Third-Generation Systems and Intelligent Wireless Networking: Smart Antennas and Adaptive Modulation
Adaptive minimum-BER decision feedback equalisers for binary signalling
Signal Processing
Single and Multi-Carrier CDMA: Multi-User Detection, Space-Time Spreading, Synchronisation and Standards
Adaptive minimum-BER linear multiuser detection for DS-CDMA signalsin multipath channels
IEEE Transactions on Signal Processing
Simulated annealing: Practice versus theory
Mathematical and Computer Modelling: An International Journal
Support vector machine multiuser receiver for DS-CDMA signals in multipath channels
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Adaptive beamforming for binary phase shift keying communication systems
Signal Processing
Markov chain minimum bit error rate detection for multi-functional MIMO uplink
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Wireless Personal Communications: An International Journal
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This paper considers interference limited communication systems where the desired user and interfering users are symbol-synchronized. A novel adaptive beamforming technique is proposed for quadrature phase shift keying (QPSK) receiver based directly on minimizing the bit error rate. It is demonstrated that the proposed minimum bit error rate (MBER) approach utilizes the system resource (antenna array elements) more intelligently, than the standard minimum mean square error (MMSE) approach. Consequently, an MBER beamforming assisted receiver is capable of providing significant performance gains in terms of a reduced bit error rate over an MMSE beamforming one. A block-data based adaptive implementation of the theoretical MBER beamforming solution is developed based on the classical Parzen window estimate of probability density function. Furthermore, a sample-by-sample adaptive implementation is also considered, and a stochastic gradient algorithm, called the least bit error rate, is derived for the beamforming assisted QPSK receiver.