Title :
Efficient algorithms for sequence detection in non-Gaussian noise with intersymbol interference
Author :
Chen, Yue ; Blum, Rick S.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Lehigh Univ., Bethlehem, PA, USA
Abstract :
Sequence detection is studied for communication channels with intersymbol interference and non-Gaussian noise using a novel adaptive receiver structure. The receiver adapts itself to the noise environment using an algorithm which employs a Gaussian mixture distribution model and the expectation maximization algorithm. Two alternate procedures are studied for sequence detection. These are a procedure based on the Viterbi (1967) algorithm and a symbol-by-symbol detection procedure. The Viterbi algorithm minimizes the probability the sequence is in error and the symbol-by-symbol detector minimizes symbol error rate, which are different
Keywords :
Gaussian distribution; Viterbi detection; adaptive systems; error statistics; intersymbol interference; optimisation; radio receivers; sequences; telecommunication channels; Gaussian mixture distribution model; ISI; Viterbi algorithm; adaptive receiver structure; communication channels; efficient algorithms; expectation maximization algorithm; intersymbol interference; noise environment; nonGaussian noise; sequence detection; sequence error probability; symbol error rate minimization; symbol-by-symbol detection; Additive noise; Communication channels; Digital communication; Gaussian noise; Intersymbol interference; Matched filters; Pulse shaping methods; Receiving antennas; Viterbi algorithm; Working environment noise;
Conference_Titel :
Signal Processing Advances in Wireless Communications, 1999. SPAWC '99. 1999 2nd IEEE Workshop on
Conference_Location :
Annapolis, MD
Print_ISBN :
0-7803-5599-7
DOI :
10.1109/SPAWC.1999.783016
