Title :
Iterative Soft Joint Detection Algorithm for OFDM Systems
Author :
Luo, Zhendong ; Huang, Dawei
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fDate :
6/1/2011 12:00:00 AM
Abstract :
In this paper, a novel iterative soft joint detection algorithm for orthogonal frequency division multiplexing (OFDM) systems is proposed. Without the need of channel estimation, it directly generates the a posteriori probabilities (APPs) of data symbols by very efficient computation. With the increase of iterations, the proposed algorithm gradually achieves near-optimal performance, while its complexity is only linear in the number of subcarriers.
Keywords :
OFDM modulation; channel estimation; probability; OFDM systems; a posteriori probabilities; channel estimation; data symbols; iterative soft joint detection; orthogonal frequency division multiplexing systems; Gaussian processes; IEEE standards; Iterative decoding; Joining processes; OFDM; A posteriori probability (APP); Gaussian distribution; OFDM; iterative algorithms; joint detection;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2011.2136830
