Title :
Complexity Reduction for DRM System Using Time Domain Preprocessing
Author :
Ali, Ali Ramadan ; Omar, Abbas S.
Author_Institution :
Chair of Microwave & Commun. Eng., Magdeburg Univ.
Abstract :
Inter-carrier-interference (ICI) phenomena in the orthogonal frequency division multiplexing (OFDM) systems complicates the channel estimation and equalization tasks at the receiver side when the number of carriers increases, since the minimum mean squared error (MMSE) and zero forcing (ZF) criterions require non-trivial matrix inversion. The complexity can be reduced without strongly affecting the performance using time domain windowing which squeezes the channel matrix into a small number of diagonals that have the strongest ICI coefficients. In this paper, a window is designed to maximize the signal-to-noise-plus interference ratio (SINR) according to digital radio mondiale (DRM) channel. Iterative algorithms for detecting the OFDM symbols are applied to further increase the system performance
Keywords :
OFDM modulation; channel estimation; computational complexity; digital radio; equalisers; intercarrier interference; iterative methods; least mean squares methods; matrix inversion; time-domain analysis; wireless channels; DRM system; channel estimation; channel matrix; complexity reduction; digital radio mondiale channel; intercarrier-interference phenomena; iterative algorithms; minimum mean squared error; nontrivial matrix inversion; orthogonal frequency division multiplexing; signal-to-noise-plus interference ratio; time domain preprocessing; time domain windowing; zero forcing criterions; Channel estimation; Frequency domain analysis; Interference; Microwave communication; Multipath channels; OFDM modulation; Quadrature amplitude modulation; Shape; Signal design; Signal to noise ratio;
Conference_Titel :
Radio and Wireless Symposium, 2007 IEEE
Conference_Location :
Long Beach, CA
Print_ISBN :
1-4244-0445-2
Electronic_ISBN :
1-4244-0445-2
DOI :
10.1109/RWS.2007.351805
