Zero-tap detection-based kalman filter algorithm for UWB channel estimation

This paper deals with channel estimation for ultra-wideband (UWB) wireless communication systems in typical multipath environments. An improved Kalman filter algorithm is proposed to estimate the channel impulse response (CIR) of time-varing channel. By fitting zero-tap detection (ZTD) algorithm into Kalman filtering process, the proposed algorithm exploits the system-specific UWB receiver structure and priori statistical characteristics of UWB channel. As a result, the computational complexity is reduced dramatically and the performance is improved. Simulations and comparisons are implemented to illustrate the improvement of the proposed algorithm.