Noncoherent LMS algorithm for noncoherent sequence estimation
نویسندگان
چکیده
In this paper, a novel noncoherent adaptive algorithm for channel estimation is introduced. The proposed noncoherent least–mean–square (NC–LMS) algorithm can be combined easily with noncoherent sequence estimation (NSE) for M–ary differential phase–shift keying (MDPSK) signals transmitted over intersymbol interference (ISI) channels. For zero frequency offset the convergence speed and the steady–state error of the novel noncoherent adaptive algorithm are similar to those of a conventional (coherent) LMS algorithm. However, the conventional LMS algorithm diverges even for relatively small frequency offsets, whereas the proposed NC–LMS algorithm also converges for relatively large frequency offsets. Simulations confirm the good performance of NSE combined with noncoherent adaptive channel estimation in time–variant (fading) ISI channels.
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تاریخ انتشار 2000