Distortion array line spectrum enhancement method based on principal component analysis-density clustering

Abstract

The invention discloses a distortion array line spectrum enhancement method based on principal component analysis-density clustering. The method comprises the following steps: (1) simulating underwater acoustic target radiation noise and interference line spectrum signals; (2) simulating an observation array signal; (3) roughly estimating a target orientation based on ideal beam forming; (4) detecting and selecting L line spectrum positions with the maximum power of the target signal; (5) extracting features from the array relative delay inequality vectors of the L strong line spectrums by using a principal component analysis method to obtain feature vectors of L curves; (6) classifying the L curves by using a DBSCAN density clustering algorithm; (7) selecting more classes of line spectrums in the classification result, and calculating an average array relative delay inequality vector; and (8) obtaining a fidelity-enhanced target tracking beam based on the estimated time delay. The invention discloses a distortion array line spectrum enhancement method based on principal component analysis-density clustering. The influence of distortion of a towed linear array on beam forming is corrected through time delay estimation, and a target radiation noise tracking beam with enhanced fidelity is obtained.

Description

technical field [0001] The invention belongs to the field of sonar signal processing, in particular to a distortion array line spectrum enhancement method based on principal component analysis-density clustering. Background technique [0002] The currently applied sonar systems generally include hydrophone shore-based array sonar, hydrophone towed array sonar and other types. Towed array sonar is generally used to detect long-distance underwater targets, and its length requirement increases with the reduction of underwater target radiation noise. However, the longer the towed line array is, the more its formation is affected by factors such as ocean currents and mother ship maneuvers. This distortion seriously reduces the spatial processing enhancement of the array sonar, and also increases the error of the sonar to the target azimuth. [0003] If you want to estimate the formation of the hydrophone array, there are two solutions: one is to measure the formation of the arr...

AI Technical Summary

Problems solved by technology

But for some array structures, such as equidistant line arrays, the unique identification of parameter estimates is often not guaranteed

More importantly, the high-dimensional, multi-modal, and nonlinear optimization problems corresponding to the joint estimation of parameters in the self-calibration algorithm bring a huge amount of computation, and the global convergence of parameter estimation is often not guaranteed.

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