DocumentCode :
428133
Title :
Reduced complexity MIMO-OFDM channel estimation based on parametric channel model
Author :
Jing, Ya ; Wang, Dongming ; Chen, Ming ; Cheng, Shixin ; Wang, Haifeng
Author_Institution :
Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
Volume :
2
fYear :
2004
fDate :
26-29 Sept. 2004
Firstpage :
1372
Abstract :
An improved channel estimation algorithm is presented for broadband multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. In the algorithm, the multipath time delays are firstly estimated by tracking the average powers of multipaths. With the multipath time delays information, a low complexity estimator based on parametric channel model is derived and the estimator´s performance is analysed. Simulation results show that the use of parametric channel model can effectively decrease the dimension of estimated parameters and, consequently, improve the channel estimation performance.
Keywords :
MIMO systems; OFDM modulation; channel estimation; computational complexity; delay estimation; multipath channels; broadband multi-input multi-output orthogonal frequency division multiplexing systems; channel estimation algorithm; multipath average powers; multipath time delays; parametric channel model; reduced complexity MIMO-OFDM channel estimation; simulation; sparse multipath channel; Channel estimation; Delay effects; Delay estimation; Frequency estimation; Multipath channels; OFDM; Parameter estimation; Performance analysis; Power system modeling; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
ISSN :
1090-3038
Print_ISBN :
0-7803-8521-7
Type :
conf
DOI :
10.1109/VETECF.2004.1400248
Filename :
1400248
Link To Document :
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