Radar weak fluctuating target tracking-before-detection algorithm based on multi-Bernoulli filtering

A technology of undulating targets and forward tracking, which is applied in radio wave measurement systems, radio wave reflection/reradiation, and measurement devices, can solve problems such as weak fluctuations and multi-target detection and tracking problems that cannot be effectively solved, and achieve the goal of improving discrimination Effect

Pending Publication Date: 2021-12-31
GUILIN UNIV OF ELECTRONIC TECH
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Problems solved by technology

[0006] The purpose of the present invention is to provide a tracking algorithm before detection of radar weak fluctuation targets based on multi-Bernoulli filtering, aiming to solve the technical problem that the weak fluctuation multi-target detection and tracking problem cannot be effectively solved in the prior art

Method used

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  • Radar weak fluctuating target tracking-before-detection algorithm based on multi-Bernoulli filtering
  • Radar weak fluctuating target tracking-before-detection algorithm based on multi-Bernoulli filtering
  • Radar weak fluctuating target tracking-before-detection algorithm based on multi-Bernoulli filtering

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specific Embodiment 1

[0172] In this embodiment, the MATLAB software whose version is 2014(a) is used to carry out the simulation experiment.

[0173] see image 3 , setting the three target motions shown, consider a two-dimensional motion scene, the state of each target is defined as

[0174] where (x k ,y k )and are the position and velocity of the target in the Cartesian coordinate system, respectively.

[0175] position (x k ,y k ) in polar coordinates p=[r min ,r max ]×[θ min ,θ max ] scene, r min ,r max and θ min ,θ max are the minimum and maximum target range and orientation, respectively;

[0176] speed In zone:

[0177]

[0178] where v min and v max are the minimum and maximum target speeds, respectively.

[0179] The target state evolves according to the uniform linear motion:

[0180] x k =Fx k-1 +v k

[0181] The sensor scan time interval T=1s receives 100 frames of images, where

[0182]

[0183]

[0184] process noise v k obeys a Gaussian distri...

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Abstract

The invention discloses a radar weak fluctuation target track-before-detect algorithm based on multi-Bernoulli filtering, and the algorithm not only considers amplitude information, but also carries out marginalization processing on a phase in MB-TBD, so as to improve the discrimination between a target and noise. And a square modulus likelihood ratio (SLR) is replaced with complex likelihood ratios (CLR) of three Swerling types. In order to adapt to the condition that undulating target new prior information is unknown, a multi-Bernoulli filter self-adaptive new distribution TBD (LABer-STC-TBD) based on the measurement likelihood ratio is provided by referring to the idea of target successive division, and compared with an existing MB-TBD self-adaptive new distribution algorithm, the new algorithm overcomes the defect that when a target undulates, it is difficult to detect a weak target and a strong target which appear at the same time. The Bernoulli components of the same target are combined by an algorithm (DPM) based on distance and particle weight after the updating of the MB-TBD is finished. And finally, the studied estimation and detection performances under different conditions are compared, and the advantages of the LABer-STC-TBD algorithm under target amplitude fluctuation are displayed.

Description

technical field [0001] The present invention relates to the technical field of multi-target detection and tracking with weak radar fluctuations, in particular to a detection-before-detection tracking algorithm for weak radar fluctuations based on multi-Bernoulli filtering. Background technique [0002] The traditional radar multi-target tracking (MTT) algorithm is to process the preprocessed data by compressing the single frame data scanned by the radar antenna into a finite point set. However, for targets in a low SNR environment, the echo of the target is usually lower than the preprocessing threshold, which may lead to target loss and missed detection; if the threshold is lowered, a large number of false alarms will be generated, making the target navigation traces cannot be maintained. [0003] In order to solve the above problems, the tracking before detection (TBD) algorithm is adopted without setting a threshold for the measurement signal, and according to the contin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/72G01S13/06
CPCG01S13/726G01S13/06
Inventor 薛秋条李东升吴孙勇孙希延纪元法符强蔡如华严素清王守华
Owner GUILIN UNIV OF ELECTRONIC TECH
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