Error correcting least-squares Subspace algorithm for blind identification and equalization
نویسندگان
چکیده
منابع مشابه
Blind equalization using least-squares lattice prediction
Second-order statistics of the received signal can be used to equalize a communication channel without knowledge of the transmitted sequence. Blind zero-forcing (ZF) and minimum mean-square error (MMSE) equalization can be achieved with linear prediction-error filtering. The equivalence with the equalizers derived by Giannakis and Halford [1] is shown and adaptive predictors that result in a la...
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The least-squares and the subspace methods are two well-known approaches for blind channel identification/ equalization. When the order of the channel is known, the algorithms are able to identify the channel, under the so-called length and zero conditions. Furthermore, in the noiseless case, the channel can be perfectly equalized. Less is known about the performance of these algorithms in the ...
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ژورنال
عنوان ژورنال: Signal Processing
سال: 2001
ISSN: 0165-1684
DOI: 10.1016/s0165-1684(01)00096-2