Efficient algorithms for sequence detection in non-Gaussian noise with intersymbol interference

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 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.

[1]  R. Redner,et al.  Mixture densities, maximum likelihood, and the EM algorithm , 1984 .

[2]  S. Kassam.  Signal Detection in Non-Gaussian Noise , 1987 .

[3]  Rick S. Blum,et al.  An adaptive spatial diversity receiver for non-Gaussian interference and noise , 1997 .

[4]  G. David Forney,et al.  Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interference , 1972, IEEE Trans. Inf. Theory.

[5]  Marco Lops,et al.  Canonical detection in spherically invariant noise , 1995, IEEE Trans. Commun..

[6]  Tommy Öberg,et al.  Robust detection in digital communications , 1995, IEEE Trans. Commun..

[7]  Andrew J. Viterbi,et al.  Error bounds for convolutional codes and an asymptotically optimum decoding algorithm , 1967, IEEE Trans. Inf. Theory.

[8]  Rick S. Blum,et al.  An adaptive spatial diversity receiver for non-Gaussian interference and noise , 1997, First IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications.

[9]  Theodore S. Rappaport,et al.  Measurements and Models of Radio Frequency Impulsive Noise for Indoor Wireless Communications , 1993, IEEE J. Sel. Areas Commun..

[10]  Chrysostomos L. Nikias,et al.  Incoherent receivers in alpha-stable impulsive noise , 1995, IEEE Trans. Signal Process..

[11]  John G. Proakis,et al.  An adaptive receiver for digital signaling through channels with intersymbol interference , 1969, IEEE Trans. Inf. Theory.

[12]  H. Vincent Poor,et al.  Performance of DS/SSMA Communications in Impulsive Channels - Part I: Linear Correlation Receivers , 1986, IEEE Transactions on Communications.

[13]  D. W. Hagelbarger,et al.  Recurrent codes: Easily mechanized, burst-correcting, binary codes , 1959 .

[14]  S.A. Kassam,et al.  Robust techniques for signal processing: A survey , 1985, Proceedings of the IEEE.

[15]  A. Öztürk,et al.  Non-Gaussian random vector identification using spherically invariant random processes , 1993 .

[16]  K. Abend,et al.  Statistical detection for communication channels with intersymbol interference , 1970 .

[17]  John G. Proakis,et al.  Digital Communications , 1983 .