A Maneuvering Target Tracking Method Based on Current Statistical Model

A maneuvering target tracking and maneuvering target technology, applied in radio wave measurement systems, radio wave reflection/re-radiation, instruments, etc., can solve weak maneuvering and non- maneuvering target tracking performance, difficult to adapt to sudden changes in acceleration, fixed maneuvering frequency γ does not conform to the actual situation and other problems to achieve the effect of making up for its own defects and improving tracking performance

Active Publication Date: 2020-11-17
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

[0004] Although the setting of the current statistical model is more reasonable than that of the singer model, there are still the following defects: 1) The fixed maneuvering frequency γ of the current statistical model does not conform to the actual situation; 2) The fixed acceleration extreme value a max It is difficult to adapt to sudden acceleration; 3) The limitation of the modified Rayleigh distribution leads to poor tracking performance for weak maneuvering and non-maneuvering targets

Method used

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  • A Maneuvering Target Tracking Method Based on Current Statistical Model
  • A Maneuvering Target Tracking Method Based on Current Statistical Model
  • A Maneuvering Target Tracking Method Based on Current Statistical Model

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Embodiment Construction

[0073] Combine below figure 1 , the present invention realizes steps as follows:

[0074] Step 1, initialization of motion state and preset parameters

[0075] In the embodiment of the present invention, the maximum acceleration extremum is set to a max =100m / s 2 , and set the maneuvering frequency to γ=0.01;

[0076] Using the first three measurements Z measured by radar 1 ,Z 2 ,Z 3 , the initial state and initial covariance of the maneuvering target are determined by the following formula through the difference method;

[0077]

[0078]

[0079] in, represents the initial state of the target, P 3|3 Denotes the initial state covariance.

[0080] Step 2, build the current statistical model for the maneuvering target

[0081] Sampling with period T, use the following formula to establish the motion state equation for the maneuvering target:

[0082]

[0083] Among them, X k Represents the state vector at time k, x k Indicates the position of the target ...

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Abstract

The invention discloses a maneuvering target tracking method based on a current statistical model, which belongs to the field of radar signal processing and mainly solves the problem that the current statistical model has low tracking accuracy of weak maneuvering and non-maneuvering targets. The present invention first performs motion state initialization and parameter preset, and establishes a current statistical model for the maneuvering target; then adjusts the current acceleration extremum through an arctangent function to adjust the acceleration variance; further determines the fading factor to adjust the prediction covariance; Finally complete the status update of the target. The invention improves the tracking performance of weak maneuvering and non-maneuvering targets while maintaining the good tracking performance of the current statistical model for strong maneuvering targets, and can be used for tracking maneuvering targets.

Description

technical field [0001] The invention belongs to signal processing technology, in particular to a tracking method for maneuvering targets. The invention can be used to realize the tracking of the maneuvering target and improve the tracking performance of the weak maneuvering target. Background technique [0002] Maneuvering target tracking has always been a research hotspot in the field of tracking, and it is of great value in various fields of national defense and civilian use. Many scholars have been devoted to the research of target tracking algorithms. However, due to the increasing maneuverability of modern aircraft, reliable and accurate tracking of targets has become a major problem. The realization of target tracking mainly includes two functional modules: establishment of target motion model and realization of adaptive filtering. [0003] The earliest proposed maneuvering target motion model is the Singer model, which models the maneuvering control term as colored ...

Claims

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): G01S13/66
CPCG01S13/66
Inventor于雪莲欧能杰曲学超唐永昊周云
OwnerUNIV OF ELECTRONICS SCI & TECH OF CHINA