DocumentCode :
2620586
Title :
EM estimation algorithm for TDR-IDMA systems in complex multi-path channel
Author :
Song, Jie ; Hu, Jianhao ; Xiong, Xingzhong
Author_Institution :
Nat. Key Lab. of Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2009
fDate :
16-18 Oct. 2009
Firstpage :
671
Lastpage :
675
Abstract :
In this paper, we propose a channel estimation algorithm for the interleave-division multiple access systems (IDMA) system based on time-reverse (TR) technique (named as TDR-IDMA), which can accelerate the execution of multi-user detection (MUD) algorithm for IDMA systems. In the TDR-IDMA systems, the time-reversed version of channel impulse responses (TR-CIR) is used to perfume the pre-processing for the received signal to accelerate signal to interference and noise ratio (SINR). Therefore, we need the channel state information (CSI) from channel estimator at the receiver. The complex multi-path channel estimation approach based on the expectation maximization (EM) algorithm is proposed for the TDR-IDMA system. At the first iteration we use the pilot sequences to estimate the initial channel information, and the soft estimates from the IDMA signal detector combined with the pilot information to refine the channel coefficients in the following estimation iterations. The simulation results indicate that the bit-error-rate (BER) performance of the proposed channel estimation algorithm is very close to that of ideal channel estimation.
Keywords :
channel estimation; code division multiple access; error statistics; expectation-maximisation algorithm; multipath channels; multiuser detection; radiofrequency interference; transient response; TDR-IDMA systems; bit error rate; channel estimation; channel impulse response; channel state information; complex multipath channel; expectation maximization; interference; interleave-division multiple access systems; multiuser detection; pre-processing; signal detector; time-reverse technique; Acceleration; Bit error rate; Channel estimation; Channel state information; Detectors; Interference; Multiuser detection; Signal detection; Signal to noise ratio; State estimation; EM; TDR-IDMA; channel estimation; pilot sequences; time-reversal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications Technology and Applications, 2009. ICCTA '09. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4816-6
Electronic_ISBN :
978-1-4244-4817-3
Type :
conf
DOI :
10.1109/ICCOMTA.2009.5349117
Filename :
5349117
Link To Document :
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