The present application relates to the technical field of deep-
sea bottom geoacoustic parameter acquisition, and particularly relates to a one-dimensional inversion optimization method for bottom geoacoustic parameters based on differential weighting multi-path
reverberation, which is characterized in that: a transmitting and receiving co-located
sonar is laid near the deep-
sea bottom to collect the sea surface-bottom interface
reverberation signal, and after denoising and filtering, the multi-path
reverberation characteristic data is extracted; through
sensitivity analysis, the bottom sound velocity and density are determined as the core inversion parameters, and the
longitudinal wave absorption coefficient is fixed; a one-to-one correspondence relationship is established by using the bottom sound velocity-density
empirical formula, so as to reduce the two-dimensional inversion space to one dimension; a measured and forward reverberation intensity deviation cost function is constructed, the
global optimization of the one-dimensional search space is carried out by using the
particle swarm algorithm, and the optimal inversion result of the bottom density is output and the sound velocity is derived; the present application fully excavates the cumulative geoacoustic information of the multi-path reverberation, realizes the dual improvement of the inversion accuracy and the
engineering efficiency, and is suitable for the rapid and high-precision bottom geoacoustic parameter acquisition under the deep-
sea bottom laying scene.