Improved adaptive sparse channel estimation using mixed square/fourth error criterion
نویسندگان
چکیده
منابع مشابه
Improved adaptive sparse channel estimation using mixed square/fourth error criterion
Sparse channel estimation problem is one of challenge technical issues in stable broadband wireless communications. Based on square error criterion (SEC), adaptive sparse channel estimation (ASCE) methods, e.g., zero-attracting least mean square error (ZA-LMS) algorithm and reweighted ZA-LMS (RZA-LMS) algorithm, have been proposed to mitigate noise interferences as well as to exploit the inhere...
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ژورنال
عنوان ژورنال: Journal of the Franklin Institute
سال: 2015
ISSN: 0016-0032
DOI: 10.1016/j.jfranklin.2015.07.006