Ultra Wideband Channel Estimation based on Kalman Filter Compressed Sensing

in this paper, a novel time-varying channel estimation approach based on Kalman filter compressive sensing is proposed for the high sampling problem of ultra wideband (UWB) system considering the sparse of the channel impulse response. The direct sequence UWB signal is formulated to the mathematical model of compressed sensing after down sampling. The receiver recovery the channel impulse response by Kalman filter compressive sensing algorithm. The simulation results demonstrate that the proposed scheme can reduce the required sampling points and improve the accuracy of estimation algorithm . Keywordsultra wideband; channel estimation; compressed sensing; kalman filter