Title :
Blind adaptive channel equalization using multichannel linear prediction-based cross-correlation vector estimation
Author :
Ahn, Kyung Seung ; Cho, Juphil ; Baik, Heung Ki
Author_Institution :
Dept. of Electron. Eng., Chonbuk Nat. Univ., Jeonju, South Korea
Abstract :
Blind equalization of transmission channel is important in communication areas and signal processing applications because it does not need training sequences, nor does it require a priori channel information. In this paper, an adaptive blind MMSE channel equalization technique based on second-order statistics is investigated. We present an adaptive blind MMSE channel equalization using multichannel linear prediction error method for estimating cross-correlation vector. They can be implemented as RLS or LMS algorithms to recursively update the cross-correlation vector. Once cross-correlation vector is available, it can be used for MMSE channel equalization. Unlike many known subspace methods, our proposed algorithms do not require channel order estimation. Therefore, our algorithms are robust to channel order mismatch. Performance of our algorithms and comparison with existing algorithms are shown for real measured digital microwave channel.
Keywords :
adaptive equalisers; blind equalisers; channel estimation; correlation methods; intersymbol interference; least mean squares methods; prediction theory; statistics; vectors; adaptive blind MMSE channel equalization technique; block-type algorithm; channel estimation; cross-correlation vector estimation; decision delay; intersymbol interference; multichannel linear prediction error method; prediction error filter; second-order statistics; Adaptive equalizers; Adaptive signal processing; Blind equalizers; Least squares approximation; Microwave measurements; Resonance light scattering; Robustness; Signal processing algorithms; Statistics; Vectors;
Journal_Title :
Consumer Electronics, IEEE Transactions on
DOI :
10.1109/TCE.2004.1362494