Title :
Bayesian techniques for known channel deconvolution
Author :
Lee, Gen-kwo ; Gelfand, Saul B. ; Fitz, Michael P.
Author_Institution :
Comput. & Commun. Res. Lab., ITRI, Hsinchu, Taiwan
fDate :
4/1/1996 12:00:00 AM
Abstract :
This paper introduces a new family of deconvolution filters for digital communications subject to severe intersymbol interference. These fixed lag smoothing filters for known channel demodulation are called Bayesian filters. Bayesian filters are derived using a new approach to suboptimal recursive minimum mean square error estimation for non-Gaussian processes. The family of Bayesian filters interpolates between the optimum fixed lag linear filter (i.e., the Kalman filter) and the optimum fixed lag symbol-by-symbol demodulator in both performance and complexity. The complexity of the Bayesian filter is exponential in a parameter, typically chosen smaller than the channel length and the filter lag. Hence, the Bayesian filter decouples the channel length and the filter lag from the exponential complexity in these parameters found in many other high performance demodulation algorithms. Simulations characterize the performance and compare the Bayesian filter to both optimal and reduced complexity demodulation algorithms
Keywords :
Bayes methods; deconvolution; demodulation; digital communication; intersymbol interference; recursive estimation; recursive filters; smoothing methods; telecommunication channels; Bayesian filters; Bayesian techniques; Kalman filter; channel deconvolution; channel demodulation; channel length; deconvolution filters; digital communications; exponential complexity; filter lag; fixed lag smoothing filters; intersymbol interference; minimum mean square error estimation; nonGaussian processes; optimal demodulation algorithms; optimum fixed lag linear filter; optimum fixed lag symbol by symbol demodulator; reduced complexity demodulation algorithms; simulations; suboptimal recursive MMSE estimation; Bayesian methods; Deconvolution; Demodulation; Digital communication; Digital filters; Estimation error; Intersymbol interference; Mean square error methods; Nonlinear filters; Smoothing methods;
Journal_Title :
Communications, IEEE Transactions on