Adaptive signal processing
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Space division multiple access for wireless local area networks
Space division multiple access for wireless local area networks
Digital Beamforming in Wireless Communications
Digital Beamforming in Wireless Communications
Single and Multicarrier Modulation: For Personal Communications, Wlans and Broadcasting
Single and Multicarrier Modulation: For Personal Communications, Wlans and Broadcasting
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
On suboptimum receivers for DS-CDMA with BPSK modulation
Signal Processing
Fundamentals of wireless communication
Fundamentals of wireless communication
Adaptive beamforming for binary phase shift keying communication systems
Signal Processing
Constrained minimum-BER multiuser detection
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
Nonlinear multiantenna detection methods
EURASIP Journal on Applied Signal Processing
Adaptive minimum error-rate filtering design: A review
Signal Processing
Introduction to Space-Time Wireless Communications
Introduction to Space-Time Wireless Communications
Design of RAKE receivers for ultra-wideband binary block-coded PPM in dense multipath channels
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume II
Support vector machine techniques for nonlinear equalization
IEEE Transactions on Signal Processing
Adaptive minimum symbol-error rate equalization for quadrature-amplitude modulation
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Robust power allocation algorithms for MIMO OFDM systems with imperfect CSI
IEEE Transactions on Signal Processing
Jointly minimum BER transmitter and receiver FIR MIMO filters for binary signal vectors
IEEE Transactions on Signal Processing
Robust linear MIMO receivers: a minimum error-rate approach
IEEE Transactions on Signal Processing
Second-order analysis of improper complex random vectors and processes
IEEE Transactions on Signal Processing
Adaptive minimum-BER linear multiuser detection for DS-CDMA signalsin multipath channels
IEEE Transactions on Signal Processing
Widely linear estimation with complex data
IEEE Transactions on Signal Processing
Constrained minimum-BER multiuser detection
IEEE Transactions on Signal Processing
Adaptive minimum bit-error rate beamforming
IEEE Transactions on Wireless Communications
On Multi-User EXIT Chart Analysis Aided Turbo-Detected MBER Beamformer Designs
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Channel equalization using adaptive complex radial basis function networks
IEEE Journal on Selected Areas in Communications
Support vector machine multiuser receiver for DS-CDMA signals in multipath channels
IEEE Transactions on Neural Networks
The relevance vector machine technique for channel equalization application
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Adaptive minimum error-rate filtering design: A review
Signal Processing
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Least-symbol-error-rate adaptive decision feedback equalization for underwater channel
Proceedings of the Eighth ACM International Conference on Underwater Networks and Systems
Hi-index | 0.08 |
Adaptive filtering has been an enabling technology and has found ever-increasing applications in various state-of-the-art communication systems. Traditionally, adaptive filtering has been developed based on the Wiener or minimum mean square error (MMSE) approach, and the famous least mean square algorithm with its low computational complexity readily meets the fast real-time computational constraint of modern high-speed communication systems. For a communication system, however, it is the system's bit error rate (BER), not the mean square error (MSE), that really matters. It has been recognised that minimising the MSE criterion does not necessarily produce the minimum BER (MBER) performance. The introduction of the novel MBER design has opened up a whole new chapter in the optimisation of communication systems, and its design trade-offs have to be documented in contrast to those of the classic but actually still unexhausted MMSE and other often-used optimisation criteria. This contribution continues this theme, and we provide a generic framework for adaptive minimum error-probability filter design suitable for the employment in a variety of communication systems. Advantages and disadvantages of the adaptive minimum error-probability filter design are analysed extensively, in comparison with the classic Wiener filter design.