Adaptive Block DFT-LMS Signal Detection in Ultra-Wideband Communications

An adaptive block DFT-LMS (B-DFT-LMS) filter is an efficient scheme to detect users´ signals in the impulse radio ultra- wideband (IR-UWB) systems. The B-DFT-LMS adaptive filter processes data on a block-by-block basis, as opposed to a sample-by-sample basis. This adaptive block filter provides almost the same mean-square-error (MSE) as the recursive least squares (RLS) adaptive filter and possesses a superior convergence rate than the conventional LMS and the normalized LMS (NLMS) filters. Simulations are performed to illustrate the MSE performance and convergence characteristic in the time-hopping (TH) and the direct-sequence (DS) UWB communication systems.