Complex and weak object detection and tracking method suitable for passive towed line array sonar

Abstract

The present invention discloses a complex and weak object detection and tracking method suitable for passive towed line array sonar. The objective of the invention is to overcome the technical problem that a traditional algorithm is bad in low signal-to-noise-ratio complex object detection and tracking effect. Conventional beamforming is employed to process received signals to obtain the spatial spectral measurement of each resolution element, the method of fitting measurement data statistics characteristics is employed to design a likelihood function model to calculate weights of particles to realize object tracking through adoption of the particle filter algorithm; and multi-time snapshot particle weights are accumulated to determine the generation and disappearance of the object. According to the embodiment, the complex and weak object detection and tracking method suitable for the passive towed line array sonar effectively solve the problems that the traditional algorithm equalization measurement data loses information and the tracking mode of the traditional algorithm cannot be suitable for tracking of a low signal-to-noise-ratio object scene and the fixing of the number of the objects so as to realize the effective tracking of the sonar complex and weak objects.

Description

technical field [0001] The invention belongs to the field of underwater target detection, and in particular relates to sonar array signal processing and multi-target detection and tracking. Background technique [0002] Passive sonar systems do not actively transmit signals, and all source signals received are the target's own noise or its reflected environmental noise. The above characteristics make passive sonar have good concealment, and it has been widely researched and used in military and scientific research fields. [0003] For passive sonar systems, the noise emitted or reflected by the target is received by an array composed of multiple listeners, and then the beamforming algorithm of the array signal is processed to generate amplitude information that reflects the current angle of incidence of the target, that is, the spatial spectrum. Based on this information, the bearing-only tracking of the target is realized. Since the incident signal is noise from the targe...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to propose a detection and tracking method that can make full use of measurement information, adapt to low signal-to-noise ratio conditions, and can handle random generation and disappearance of targets, so as to solve the loss of measurement information in existing passive sonar target detection and tracking algorithms , cannot effectively track complex targets with low signal-to-noise ratio

The invention can effectively solve the problem that the signal-to-noise ratio of the received signal of the passive sonar system is low and the target is randomly changed, which makes it difficult to detect and track the target, thereby realizing the detection and tracking of the complex target with low signal-to-noise ratio

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