Title :
Blind adaptive filtering using multivariate noncausal autoregressive modeling for wireless communication systems with antenna arrays
Author :
Martone, Massimiliano Max
Author_Institution :
Telecommun. Group, Watkins-Johnson Co., Gaithersberg, MD, USA
Abstract :
A linear high-order statistics based method is proposed to mitigate the performance degradation caused by multipath RF propagation in a mobile radio communication system using a linear antenna array in the base station receiver. The method is based on noncausal autoregressive modeling. It is shown that a set of linear equations (involving only cumulants of the received baseband digitized signal) can be obtained to perform non-iterative deconvolution. An efficient adaptive algorithm is proposed
Keywords :
adaptive antenna arrays; adaptive filters; adaptive signal processing; array signal processing; autoregressive processes; deconvolution; direction-of-arrival estimation; filtering theory; higher order statistics; land mobile radio; linear antenna arrays; multipath channels; radio receivers; adaptive algorithm; base station receiver; blind adaptive filtering; cumulants; linear antenna array; linear equations; linear high-order statistics; mobile radio communication system; multipath RF propagation; multivariate noncausal autoregressive modeling; non-iterative deconvolution; performance degradation; received baseband digitized signal; wireless communication systems; Adaptive filters; Antennas and propagation; Base stations; Degradation; Land mobile radio; Linear antenna arrays; Mobile antennas; Radio frequency; Receiving antennas; Statistics;
Conference_Titel :
Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity
Conference_Location :
London
Print_ISBN :
0-7803-3336-5
DOI :
10.1109/GLOCOM.1996.591885
