Title :
Sparse channel estimation via matching pursuit with application to equalization
Author :
Cotter, Shane F. ; Rao, Bhaskar D.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
fDate :
3/1/2002 12:00:00 AM
Abstract :
Channels with a sparse impulse response arise in a number of communication applications. Exploiting the sparsity of the channel, we show how an estimate of the channel may be obtained using a matching pursuit (MP) algorithm. This estimate is compared to thresholded variants of the least squares (LS) channel estimate. Among these sparse channel estimates, the MP estimate is computationally much simpler to implement and a shorter training sequence is required to form an accurate channel estimate leading to greater information throughput
Keywords :
decision feedback equalisers; intersymbol interference; least squares approximations; parameter estimation; telecommunication channels; transient response; DFE; ISI; decision feedback equalizer; information throughput; intersymbol interference; least squares channel estimate; matching pursuit algorithm; sparse channel estimation; sparse impulse response; training sequence; Broadband communication; Channel estimation; Delay estimation; HDTV; Least squares approximation; Matching pursuit algorithms; Pursuit algorithms; TV; Throughput; White noise;
Journal_Title :
Communications, IEEE Transactions on
