Channel estimation algorithms for cooperative spectrum sensing in amplify-and-forward cooperative system

AbstractIn amplify-and-forward AF-based cooperative spectrum sensing system, the bit-error-rate BER performance and detection probability will decrease because of the existence of channel estimation error. In this paper, the influence of channel estimation error on system performance is firstly deduced, and then, linear minimum mean-square error LMMSE channel estimation algorithm with filtering delay time-domain windowing LMMSE-filtering-DTW technique and modified singular value decomposition-based LMMSE algorithm are proposed to improve the channel estimation performance for code division multiple access system and orthogonal frequency division multiplexing system in AF cooperative scenario, respectively. Simulation results verify the effectiveness of the two proposed channel estimation algorithms in cooperative spectrum sensing, and when Eb/ N0 is bigger than 20dB, given the required false alarm probability smaller than 15%, the difference of detection probability between the channel obtained using the proposed channel estimation algorithms and the ideal channel is less than 2.5%, respectively. Copyright © 2012 John Wiley & Sons, Ltd.