Reweighted l1-norm penalized LMS for sparse channel estimation and its analysis
نویسندگان
چکیده
منابع مشابه
Reweighted l1-norm Penalized LMS for Sparse Channel Estimation and Its Analysis
A new reweighted l1-norm penalized least mean square (LMS) algorithm for sparse channel estimation is proposed and studied in this paper. Since standard LMS algorithm does not take into account the sparsity information about the channel impulse response (CIR), sparsity-aware modifications of the LMS algorithm aim at outperforming the standard LMS by introducing a penalty term to the standard LM...
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ژورنال
عنوان ژورنال: Signal Processing
سال: 2014
ISSN: 0165-1684
DOI: 10.1016/j.sigpro.2014.03.048