Efficient multipath channel estimation using a semi-blind parametric technique

被引:0
|
作者
Rontogiannis, AA [1 ]
Marava, A [1 ]
Berberidis, K [1 ]
Palicot, J [1 ]
机构
[1] Univ Ioannina, Sch Nat Resoures & Enterprises Management, Agrinion 30100, Greece
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper a parametric method for estimating the unknown channel impulse response (CIR) in a semi-blind manner is proposed. The main trait of this method is that instead of seeking the whole CIR sequence, only the unknown time delays and attenuation factors of the physical channel multipath components are estimated. The technique is based on a suitable application of the Subchannel Response Matching (SRM) criterion. The resulting cost function is separable with respect to the two sets of unknown parameters, i.e. time delays and attenuations. Thus an efficient two step optimization procedure can be applied. The new method offers significant computational savings and a lower mean square estimation error as compared to existing semi-blind channel estimation methods.
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页码:477 / 480
页数:4
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