VFF l 1 -norm penalised WL-RLS algorithm using DCD iterations for underwater acoustic communication

摘要: Based on dichotomous coordinate descent (DCD) iterations and with the use of variable forgetting factor (VFF), a widely linear (WL) l1-norm recursive least squares (RLS) adaptive filtering algorithm is proposed for sparse underwater acoustic channelequalization. In WL-RLS VFF, WL model employed to exploit second order statistics non-circular signals VFF improve tracking ability RLS algorithms. DCD are incorporated in WL-RLS-DCD reduce computing complexity. Moreover, algorithms by direct decision feedback equalizer (DA-DFE). Numerical results indicate that compared conventional RLS, algorithms, achieve better performance terms convergence rate, mean square errorand symbol error ratein DA-DFE receiver. Experimental also show can promote receiver obtain time-varying communication system. Even though transmitted circular quadrature phase-shift keying (QPSK) through channel, still performance.