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【文件名】:06516@52RD_ent Developments in Blind Channel Equalization.rar
【格 式】:rar
【大 小】:233K
【简 介】:Since Tong, Xu and Kailath [1] demonstrated the feasibility of identifying possibly nonminimum phase channels using second-order statistics, considerable research activ-ity, both in algorithm development and fundamental analysis, has been seen in the area of blind identication of multiple FIR channels. Many of the recently developed approaches invoke, either explicitly or implicitly, the algebraic structure of the data model, while some others resort to the use of cyclic correlation/spectral tting tech-
niques. The objective of this paper is to establish insightful connections among these studies and present recent developments of blind channel equalization. We also unify various representative algorithms into a common theoretical framework.
【目 录】:
1 Introduction
2 Data Formulation
3 Blind Identication Using Oversampling Techniques
4 Channel Identiability
5 Subspace Approaches
6 Additional Topics
7 Conclusion
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