Title :
Pseudo-maximum likelihood data estimation algorithm and its performance analysis
Author :
Sadjadpour, Hamid R. ; Weber, Charles L.
Author_Institution :
Commun. Sci. Inst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
The term blind equalization or deconvolution in communication and signal processing applications refers to recovering the input data sequence which is transmitted through a linear channel by knowing its output only. A pseudo-maximum likelihood data estimation (PML) algorithm for discrete channels with finite memory in additive white Gaussian noise (AWGN) is developed. The performance analysis of the PML algorithm is derived. Computer simulation results demonstrate the performance of the PML algorithm together with its analytical results
Keywords :
Gaussian noise; convolution; deconvolution; maximum likelihood estimation; white noise; AWGN; ISI; PML algorithm; additive white Gaussian noise; analytical results; blind equalization; computer simulation results; deconvolution; discrete channels; finite memory; input data sequence recovery; linear channel; performance analysis; pseudomaximum likelihood data estimation; signal processing applications; AWGN; Additive white noise; Analytical models; Convolution; Data engineering; Finite impulse response filter; Gaussian noise; Maximum likelihood estimation; Performance analysis; Signal processing algorithms;
Conference_Titel :
Military Communications Conference, 1995. MILCOM '95, Conference Record, IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-2489-7
DOI :
10.1109/MILCOM.1995.483291
