Adaptive minimum-BER decision feedback equalisers for binary signalling

Signal Processing

Volumn 81, Issue 7, 2001, Pages 1479-1489

  Mulgrew, B ^a   Chen, S ^b  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Binary; Decision feedback equaliser; Gauss Newton; Kernel density estimation; Minimum bit error rate; State translation

Indexed keywords

ADAPTIVE FILTERING; ALGORITHMS; BIT ERROR RATE; COMPUTER SIMULATION; MATRIX ALGEBRA; SIGNAL TO NOISE RATIO; SIGNALING;

GAUSS-NEWTON ALGORITHMS; MINIMUM BIT ERROR RATE (MBER);

DECISION FEEDBACK EQUALIZERS;

EID: 0035392562     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(01)00035-4     Document Type: Article

References (11)

1. Minimum BER linear combiner DFE
2. Space translation properties and the minimum-BER linear-combiner DFE
3. The minimum-SER linear-combiner decision feedback equaliser
4. Developments of the conventional non-linear equaliser
5. Dual sign algorithm for adaptive filtering
6. Asymptotic analysis of stochastic gradient-based adaptive filtering algorithms with general cost functions
7. On the structure and performance of a linear decision feedback equalizer based on the minimum error probability criterion
8. Approximate minimum-bit error rate equalization for binary signaling
9. Approximate minimum bit error rate equalization for pulse-amplitude and quadrature-amplitude modulation
10. Adaptive minimum bit-error rate equalization for binary signalling