Ultra-short baseline underwater acoustic location based on repeated generalized cross-correlation time delay estimation

Aiming at the poor anti-noise performance of traditional time-delay estimation algorithm in ultra-short baseline underwater acoustic positioning, an ultra-short baseline underwater acoustic positioning algorithm based on repetitive generalized cross-correlation time-delay estimation is proposed. The algorithm adds one autocorrelation to one of the two source signals, then carries out appropriate weighted generalized cross-correlation to the two source signals, and then detects the peak value of the generalized cross-corre- lation sequence obtained by inverse Fourier transform, and obtains the time delay. Semi-physical experiments show that the error of the new algorithm is 0.0112 s, and compared with classical cross-correlation algorithm and repetitive generalized cross-correlation algorithm in the same environment, the precision is increased by 46.4%, since the error of the classical algorithm is 0.0209 s. The simulation experiments of ultra-short base line location algorithm based on repetitive generalized cross correlation show that the X-axis accuracy and Y-axis accuracy of the new algorithm are improved by 97.1% and 96.3%, respectively. © 2019, Editorial Department of Journal of Chinese Inertial Technology. All right reserved.