Abstract:Accurate channel estimation algorithms are required to mitigate the frequencyselective fading in the broadband wireless communication systems. Many physical experiments revealed that finite impulsive responses are distributed as sparse in delayed time domain. Hence, the inherent sparse information can be exploited by state-of-the-art computing algorithms, in order to improve channel accuracy. Existing computing algorithms, zero-attracting recursive least square (ZA-RLS) and reweighted ZA-RLS (RZA-RLS), have be… Show more
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