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Knowledge-assisted broadband radar target detector in non-uniform clutter and design method

A broadband radar and non-uniformity technology, applied in radio wave measurement systems, instruments, etc., to achieve the effect of performance improvement

Pending Publication Date: 2022-06-10
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Unfortunately, the homogeneity assumption is not satisfied in many practical situations, especially for wideband radar

Method used

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  • Knowledge-assisted broadband radar target detector in non-uniform clutter and design method
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  • Knowledge-assisted broadband radar target detector in non-uniform clutter and design method

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Embodiment 1

[0079] This embodiment uses the knowledge-assisted (KA) method to counteract the impact of non-uniformity on the performance of the detector. The knowledge-assisted (KA) method is widely used by utilizing the prior knowledge of the environment from the remote sensing information of the region of interest or the previous scanning data. Most knowledge-aided (KA) methods are based on Bayesian theorem, where the clutter power and clutter covariance matrix are not assumed to be deterministic like in classical methods, but are treated as random variables and random matrices whose The prior distribution integrates prior knowledge of the environment.

[0080] Based on this, this embodiment describes the knowledge-assisted detector design of range-migrating radar targets under the background of broadband radar clutter. The design idea of ​​the knowledge-assisted detector in this embodiment is as follows: first, the target echo and clutter of the broadband radar are divided into several...

Embodiment 2

[0186] The design method includes steps:

[0187] S1. Divide the wideband radar target signal into several subbands, and obtain each pulse signal in each subband during the coherent processing interval, so as to establish a signal model of the wideband radar target.

[0188] S2. Divide the broadband radar non-uniform clutter signal into several sub-bands, model the clutter covariance matrix as a random matrix, and obtain the clutter of auxiliary data in each sub-band to establish a non-uniform clutter model, wherein , the clutter of the auxiliary data obeys a compound Gaussian distribution.

[0189] S3. Obtain the probability density function of the clutter of the auxiliary data in each subband, and establish a clutter covariance matrix relationship model and a clutter power relationship model between the original data and the auxiliary data.

[0190] S4. Establish a wideband radar target detection problem model according to each of the pulse signals and the clutter of the au...

Embodiment 3

[0220] The design method includes steps:

[0221] S1. Divide the wideband radar target signal into several subbands, and obtain each pulse signal in each subband during the coherent processing interval, so as to establish a signal model of the wideband radar target.

[0222] S2. Divide the broadband radar non-uniform clutter signal into several sub-bands, model the clutter covariance matrix as a random matrix, and obtain the clutter of auxiliary data in each sub-band to establish a non-uniform clutter model, wherein , the clutter of the auxiliary data obeys a compound Gaussian distribution.

[0223] S3. Obtain the probability density function of the clutter of the auxiliary data in each subband, and establish a clutter covariance matrix relationship model and a clutter power relationship model between the original data and the auxiliary data.

[0224] S4. Establish a wideband radar target detection problem model according to each of the pulse signals and the clutter of the au...

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Abstract

The invention relates to a knowledge-assisted broadband radar target detector in non-uniform clutter and a design method, and the method comprises the steps: dividing a broadband radar target signal into a plurality of sub-bands, and obtaining each sub-band and each pulse signal during a coherent processing interval; the method comprises the following steps: dividing a broadband radar non-uniform clutter signal into a plurality of sub-bands, modeling a clutter covariance matrix into a random matrix, and obtaining clutters of auxiliary data in each sub-band; obtaining a probability density function of clutters of the auxiliary data in each sub-band, and establishing a clutter covariance matrix relation model and a clutter power relation model between the original data and the auxiliary data; establishing a broadband radar target detection problem model according to each pulse signal and the clutter of the auxiliary data; and constructing a knowledge auxiliary detector by using a maximum posterior probability density function. According to the method, a knowledge auxiliary detector for broadband radar target detection in the non-uniform clutter environment is provided, and the problem of broadband radar target detection in the non-uniform clutter environment is solved.

Description

technical field [0001] The invention belongs to the technical field of radar, in particular to a knowledge-assisted broadband radar target detector in non-uniform clutter and a design method. Background technique [0002] Wideband radar has the advantages of strong anti-interference ability, high distance resolution and high measurement accuracy, and is an important direction for the development of modern radar. Wideband radar is widely used in synthetic aperture and inverse synthetic aperture radar imaging, radar high-precision measurement and radar target recognition. Detection is a fundamental function of radar, and so is wideband radar. Wideband radar has unique advantages for target detection in clutter environment, because clutter consists of a large number of randomly distributed scattering centers. As the radar range resolution increases, the number of scattering centers in each range cell decreases proportionally, and the clutter power decreases accordingly. But ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/36
CPCG01S7/36
Inventor 戴奉周校旭东禄晓飞
Owner XIDIAN UNIV
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