DocumentCode :
2738234
Title :
MIMO FIR channel estimation: a first-order statistical method
Author :
Tao, Jun ; Yang, Luxi
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Volume :
2
fYear :
2003
fDate :
14-17 Dec. 2003
Firstpage :
1437
Abstract :
Mobile wireless links exhibit frequency selective fading , thus a receiver needs to perform channel estimation and equalization. In this paper, we propose a superimposed periodic pilot scheme for channel estimation of a multi-input and multi-output (MIMO) system with finite-impulse response (FIR). A simple first-order statistics is used, and any FIR channel can be estimated provided both transmitted signals and additional noises are stationary with known means while regardless of any assumption on the color or distribution. There is no loss of information rate except for a controllable increase in transmission power. We derive the variance expression of this linear channel estimator. Numerical simulations demonstrate the effectiveness of this proposed method.
Keywords :
MIMO systems; channel estimation; fading; radio links; statistical analysis; transient response; MIMO FIR channel estimation; MIMO system; channel equalization; finite impulse response; first order statistics; frequency selective fading; linear channel estimator; mobile wireless links; multiinput multioutput system; numerical simulations; periodic pilot scheme; statistical method; transmission power; variance expression; Channel estimation; Colored noise; Fading; Finite impulse response filter; Frequency estimation; Information rates; MIMO; Propagation losses; Statistical analysis; Statistical distributions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
Type :
conf
DOI :
10.1109/ICNNSP.2003.1281144
Filename :
1281144
Link To Document :
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