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Towed passive array sonar low signal-to-noise ratio ship moving target detection method

A moving target and low signal-to-noise ratio technology, which is applied in the directions of measuring devices, sound wave re-radiation, character and pattern recognition, etc., can solve the problems of low detection rate, low accuracy and weak robustness of the signal-to-noise ratio azimuth history map

Active Publication Date: 2020-08-07
NORTHWESTERN POLYTECHNICAL UNIV +1
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AI Technical Summary

Problems solved by technology

Solve the problems of low signal-to-noise ratio azimuth history map target detection rate, low accuracy and weak robustness

Method used

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  • Towed passive array sonar low signal-to-noise ratio ship moving target detection method
  • Towed passive array sonar low signal-to-noise ratio ship moving target detection method
  • Towed passive array sonar low signal-to-noise ratio ship moving target detection method

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specific Embodiment

[0087] 1. Automatic calibration of ship moving targets and clutter samples based on tracking before detection

[0088] 1.1 Establishment of state transition equation

[0089] Such as figure 2 In the azimuth history diagram shown, there are 5 moving objects of the ship. According to the (1-1) state equation form, the state equations of the 5 moving objects of the ship are respectively established, and the initial value of the state is given. The motion state equation and measurement equation of a ship moving target at time k are respectively

[0090]

[0091] in, is the state vector at time k, where θ k is the azimuth angle of the underwater acoustic target in the azimuth history map, Azimuth rate of change. z k is the azimuth measurement at time k, is the state transition matrix, is the measurement matrix, T is the sampling period, u k is the process noise, w k is the measurement noise, and it is zero-mean white noise, and the covariance is Q k , R k , u k an...

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Abstract

The invention relates to a towed passive array sonar low signal-to-noise ratio ship moving target detection method. According to a tracking-before-detection method, the motion characteristics of a target are utilized; the multi-frame information of the target is accumulated; an exhaustive search idea is utilized to decompose the overall motion trail search problem of the target into a hierarchicaloptimization problem; the detection result of the target is given while the motion trail of the target is given; the position description of ship motion target (positive sample) and clutter (negativesample) signals is given, and meanwhile, the positive and negative samples of an azimuth course graph are also automatically established; a time-space domain joint feature extraction method is provided through the spatial-temporal characteristic analysis of the motion target and random clutter signals of the azimuth course graph, and the problem of underwater acoustic target detection feature extraction by using machine learning can be effectively solved.

Description

technical field [0001] The invention belongs to computer image processing technology, and relates to a method for detecting a moving target of a towed passive array sonar ship with a low signal-to-noise ratio, and performs automatic sample preparation, feature extraction and ship tracking for the low signal-to-noise ratio azimuth history map of the towed passive array sonar. Ship moving target detection to improve the detection rate, accuracy and robustness of underwater acoustic targets. Background technique [0002] The towed array sonar is a hydrophone system that is composed of sonar array elements and towed at the tail of submarines, ships and anti-ship helicopters. In recent years, the towed passive array sonar has made considerable progress in underwater acoustic target detection, trajectory generation and identification, and further effective implementation of water target strike tasks due to its advantages of good concealment, long range, fast speed, and low-frequen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S15/66G01S7/539G06K9/00G06K9/62
CPCG01S15/66G01S7/539G06F2218/12G06F18/2411Y02A90/30
Inventor 程思源程咏梅刘成元王强李松
Owner NORTHWESTERN POLYTECHNICAL UNIV
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