Abstract
In order to reduce the complexity of the reconstruction algorithm and improve the precision of estimation,the authors proposed a new Sparsity Adaptive Matching Pursuit(SAMP) algorithm by using the adaptive threshold applied in the OFDM(Orthogonal Frequency Division Multiplexing) sparse channel estimation.The Monte Carlo simulation results show that,compared with the traditional method,the CPU run time decreased by 44.7%.And in lower SNR(Signal-to-Noise Ratio),the performance achieved obvious improvements.Besides,in OFDM sparse channel estimation,a new design of pilot pattern was presented based on the mutual coherence of the measurement matrix in Compressive Sensing(CS) theory.The Monto Carlo simulation results show that,the precision of channel is increased by 2-4 dB with the new pilot pattern.
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