Title :
Approximate full diversity linear equalizers for doubly selective channels
Author :
Shenoy, Shakti Prasad ; Ghauri, Irfan ; Slock, Dirk T. M.
Author_Institution :
Dept. of Mobile Commun., EURECOM, Sophia Antipolis, France
Abstract :
It is known that linear minimum mean square error zero-forcing (MMSE-ZF) equalization can achieve full joint multipath-Doppler diversity offered by doubly selective channels [1] when appropriate precoding is applied at the transmitter. However, brute force implementation MMSE-ZF equalizer involves a matrix inversion operation that results in significant computational burden. In order to alleviate this problem, first an iterative implementation of MMSE-ZF equalizer based on polynomial expansion (PE) approximation is proposed. Then, the structure of a matrix involved in this approximation is exploited to reduce the computational complexity of the PE approximation. Simulation results are provided to show that while this approach reduces the computational complexity compared to the brute-force implementation of the MMSE-ZF equalizer, it does not effect the diversity order.
Keywords :
diversity reception; equalisers; least mean squares methods; matrix inversion; polynomial approximation; MMSE-ZF equalization; brute force implementation MMSE-ZF equalizer; doubly selective channels; full diversity linear equalizers; linear minimum mean square error zero-forcing equalization; matrix inversion; multipath-Doppler diversity; polynomial expansion approximation; Doppler effect; Equalizers; Lead; Matched filters; Receivers; Signal to noise ratio; Vectors;
Conference_Titel :
Signal Processing Conference, 2009 17th European
Conference_Location :
Glasgow
Print_ISBN :
978-161-7388-76-7