PHD filtering multi-target tracking method in combination with amplitude information

A multi-target tracking and target technology, applied in the field of radar data processing, can solve the problems of not adapting to the dense clutter environment, the number of targets is fixed, and the measurement information is not fully utilized.

Inactive Publication Date: 2017-08-11
谭顺成
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Problems solved by technology

[0008] The purpose of the present invention is to propose a PHD filtering multi-target tracking method combined with amplitude information, to solve the problems that the JPDA-based multi-target tracking method does not make full use of measurement information, requires a fixed number of targets, and is not suitable for dense clutter environments.

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  • PHD filtering multi-target tracking method in combination with amplitude information
  • PHD filtering multi-target tracking method in combination with amplitude information
  • PHD filtering multi-target tracking method in combination with amplitude information

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[0057] The PHD filter multi-target tracking method combined with amplitude information of the present invention will be described in detail below with reference to the accompanying drawings.

[0058] Without loss of generality, assuming that at any moment, the target moves in the two-dimensional observation area of ​​S=[-200,200]×[-200,200], and the target can appear and disappear randomly in this area, the total simulation time is K= 50s, sampling interval T=1s; the initial appearance of the target obeys the Poisson model, and its density function γ k (x)=0.2N(x|x 0 ,Q b ), N(·|x 0 ,Q b ) means that the mean is x 0 , the covariance is Q b Gaussian distribution, where x 0 =[020-2] T and Q b = diag([105105]), target average SNR The radar is located at point (0,-100), which provides the distance R of the target k , Azimuth θ k and amplitude information a k , the standard deviations of the measurement noise of distance and azimuth are 2 and 0.05 respectively, the mea...

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Abstract

The invention discloses a PHD filtering multi-target tracking method in combination with amplitude information, which belongs to the radar data processing field. The method is based on the JPDA multi-target tracking method which fails to fully utilize the target measurement information, requires that the number of the targets is fixed because the computation amount increases explosively along with the increase in the number, and does not fit an environment with intense clutters. The PDH filtering multi-target tracking method proposed by the invention is combined with amplitude information and aims to solve the above problems. On the basis of PHD filtering and in combination with the amplitude information of the targets, the utilization efficiency of the measurement information can be increased effectively, and at the same time, estimation can be made to the number of the targets and the target states so that it is possible to adapt to the unknown condition led by the change in the number of the target. In the method, the computation amount increases in a linear manner along with the increase in the number of the measurement targets, making the method especially fit for the multi-target tracking in an environment with intense clutters and overcoming the limitations of the JPDA method. Therefore, the method boasts strong engineering application value and has a wider range of promotions.

Description

technical field [0001] The invention relates to a radar data processing method, in particular to a multi-target tracking and filtering method, which is suitable for tracking multiple targets by radar in a dense clutter environment. Background technique [0002] With the rapid development of modern science and technology and the rapid development of space technology, the scope of target monitoring has been developed to land, sea, air, sky, and electromagnetic five-dimensional space. The increase has brought severe challenges to the detection and tracking performance of radar. Due to the uncertainty of noise, clutter, and data association and detection, the tracking of multiple targets needs to estimate the state of each target with an uncertain number of targets from the measurement of the number of time-varying, which requires the algorithm to be able to simultaneously Therefore, multi-target tracking in dense clutter environment has become one of the difficult problems in ...

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Application Information

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IPC IPC(8): G01S13/66G01S7/02G01S7/36G06K9/00
CPCG01S7/02G01S7/36G01S13/66G06F2218/04
Inventor 谭顺成王国宏吴巍王娜
Owner 谭顺成
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