Simulation on adaptive fore-pulse cross-power spectrum detection in coherent multi-path underwater acoustic channel

The complicated generalized underwater channel causes target echo´s bad distortion, which includes target´s scaling reduces its correlation with homing intelligence signal. So the conventional copy correlation algorithm meets huge challenge. This paper discuss the auto-correlation, copy correlation(CC) and matched-filter(MF) in cross-power spectrum detection frame, in which we put forward noisy copy correlation and form adaptive fore-pulse cross-power spectrum (AFCPS) detection algorithm; In different distance and relative velocity between scaling target and detecting system, we do the contrastive simulation experiment. The experimental results indicate the AFCPS´s performance is more robust and reliable than copy correlation. Meanwhile, adaptive optimization can reaches the maximal SNR point, which indicates the AFCPS is an approximate MF in the condition of a little time-varying, space-varying and knowing channel´s transfer function impossibly or difficultly.