Passive distributed arrays cross-location algorithm with windowed deconvolution

Abstract

To eliminate the appearance of false peaks in underwater passive distributed cross-location, a cross-location algorithm with windowed deconvolution in the spatial domain is proposed. The algorithm can effectively detect and locate passive targets and effectively eliminate passive cross-location false peaks. First, the windowed deconvolution algorithm is applied in an integral form to individual narrow sub-band spatial spectra. The spatial spectra are summed to obtain the broadband spatial energy spectrum. The estimated propagation loss and the one-dimensional broadband energy spectrum are used to deduce the sound source level of the two-dimensional scanning grid points. In the proposed method, the mean value and standard deviation of the source level are inversely deduced using multiple arrays, and the standard deviation is used to weight the fusion result for each scan point to weaken the energy output corresponding to the false position. Simulation results show that the algorithm can effectively detect and locate targets in the presence of strong interference. The crossover result for the energy line shows that ambiguity to the left and right side of the line array is overcome.