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Active sonar target motion information fusion method

A motion information and fusion method technology, which is applied in the field of active sonar target motion information fusion, can solve the problems of misidentification of reverberation interference as a target, slow target tracking speed and high false alarm rate

Active Publication Date: 2020-09-29
INST OF ACOUSTICS CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing target motion information fusion methods mainly include Kalman filter, unscented Kalman filter and particle filter, as well as some improved algorithms based on the existing target motion information fusion methods. The existing methods do not use the potential target motion The Doppler coefficient information corresponding to the projection component of the velocity in each direction has the problems of slow target tracking speed and poor real-time performance. It takes a long time and multi-frame detection results to realize the target trajectory tracking, and the false alarm rate is high, often appearing reverberation The problem of misjudgment of interference as a target

Method used

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  • Active sonar target motion information fusion method
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  • Active sonar target motion information fusion method

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Embodiment 1

[0084] Such as figure 1 As shown, the present invention provides a method for fusion of active sonar target motion information, the method comprising:

[0085] Step 1) Construct a set A={A for the detection results 1 A 2 …A i …A N}, get the i-th frame detection result A i M in i The j-th potential target among the potential targets starts from time T i to T k The path number set P i，j，k ';

[0086] Specifically, assuming that a station continuously transmits N pulse signals in total, the transmission times corresponding to the N pulse signals continuously transmitted by the station are respectively T={T 1 T 2 …T i …T N}; Its corresponding detection results of each frame form a set A={A 1 A 2 …A i …A N};

[0087] Among them, A i is the detection result of frame i; A i is an M i Row 4 column eigenvector matrix:

[0088]

[0089] Among them, M i for A i The number of potential target points contained in ; x i，j 、y i，j , θ i，j and A respectiv...

Embodiment 2

[0146] A shallow sea bistatic active sonar detection test carried out in a certain sea area in April 2018 is used to illustrate. In the sea trial, the transducer was suspended as the sound source, and a total of 8 pulse signals were transmitted at a certain station. The time T of each pulse signal relative to the moment of the first pulse signal transmission was 0 seconds, 120 seconds, 341 seconds, 541 seconds, 891 seconds, 1231 seconds, 1731 seconds, and 2301 seconds; the underwater submerged body of the "Experiment No. 1" catamaran was used as the cooperative target; the array receiving the signal was located on the seabed. After preprocessing, the detection results of each frame form a set as follows:

[0147] A={A 1 A 2 …A i …A 8};

[0148] The number of potential targets contained in the detection results of each frame are 51, 40, 69, 81, 294, 271, 84, 103;

[0149] Assume that the maximum movement speed of the potential target is v max = 8 knots; the maximum va...

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Abstract

The invention belongs to the technical field of active sonar underwater acoustic target detection, and particularly relates to an active sonar target motion information fusion method. The method comprises the steps of 1) obtaining a path number set P<i, j, k'> of target candidate motion paths; 2), carrying out primary false path elimination and target motion information fusion on the obtained P<i, j, k'> to obtain a path number set P<I, j, k>* of the remaining candidate motion paths and an average speed set v*<I, j, k> of the remaining candidate motion paths; 3) obtaining a path number set P1of the remaining motion paths and an average speed set v*<I, j, k, h> of the remaining motion paths; 4) performing secondary false path elimination and target motion information fusion on P1 to obtain target motion information of Ai; and 5) repeating the steps 1)-4) to obtain target motion information of each frame of detection result in the detection result composition set A, and superposing thetarget motion information of each frame of detection result together to form a motion path of the active sonar target.

Description

technical field [0001] The invention belongs to the technical field of active sonar underwater acoustic target detection and positioning, and in particular relates to an active sonar target motion information fusion method. Background technique [0002] Ocean acoustic target detection technology is crucial to safeguarding national sovereignty, ensuring the security of the national marine environment, and promoting marine exploration and development. Especially in the civil field, it can be used for ocean rescue, fish detection and maritime safety operations, etc.; in military and national defense applications, it can be widely used in various defense and attack systems in the military, such as coastal surveillance systems and anti-mine countermeasures. Torpedo systems, etc. [0003] At present, underwater acoustic targets have been developing in the direction of stealth, long endurance, large diving depth, and high attack, which has brought great challenges to passive sonar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S15/58G01S7/539G01S7/52
CPCG01S7/52001G01S7/539G01S15/582G01S15/588
Inventor 张海如汪俊王海斌张蒙
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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