非平稳异质噪声水下无人平台目标稳健探测OA

Employing unmanned underwater vehicle swarms equipped with active sonar to detect underwater targets in key maritime areas has become the preferred approach for locating"quiet"targets.However,ocean ambient noise often exhibits typical non-stationary,heteroscedastic,and impulsive characteristics,which degrade the performance of traditional parameter estimation methods based on Gaussian noise assumptions.To address this issue,this paper proposes a robust time-delay estimation method for target echoes based on weighted iterative sparse reconstruction with an Lq-norm constraint.By employing an Lq-norm loss function(0<q≤1)in place of the conventional L2-norm and integrating it with a weighted iterative matrix,the proposed technique effectively suppresses interference from non-stationary heterogeneous noise and multipath underwater acoustic channels,thereby enabling more accurate retrieval of time-delay parameters.An efficient solution is achieved via the alternating direction method of multipliers(ADMM),ensuring estimation accuracy while meeting the requirements of low-complexity algorithm for unmanned platforms.Simulation results and sea-trial data demonstrate that the proposed method can accurately extract target echo time-delay information in realistic underwater acoustic environments characterized by multipath propagation and non-stationary noise,offering a reliable and interference-resistant approach for detecting weak underwater targets in complex underwater acoustic environment.