Weak target detecting of impulse Doppler radar under strong clutters

A weak target detection and pulse Doppler technology, applied in the field of weak target detection, can solve the problems of increased false alarm probability, increased system time, decreased effective coverage time, etc., to achieve the effect of reducing false alarms

Active Publication Date: 2013-04-24
CNGC INST NO 206 OF CHINA ARMS IND GRP
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AI Technical Summary

Problems solved by technology

The theoretical basis of range unit average constant false alarm detection is that the target is in the noise background of Gaussian distribution. For the target far away from the clutter area, the probability density distribution of the background is basically a composite Gaussian distribution; but for the target in the strong clutter area, The probability density distribution of the ba...

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  • Weak target detecting of impulse Doppler radar under strong clutters
  • Weak target detecting of impulse Doppler radar under strong clutters
  • Weak target detecting of impulse Doppler radar under strong clutters

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Embodiment Construction

[0023] Now in conjunction with embodiment the present invention will be further described:

[0024] In the embodiment of the present invention, the weak target detection under the background of strong clutter is as follows: establish the clutter map of the full-range Doppler unit, and use the range unit constant false alarm algorithm to form the constant false alarm threshold; according to the intensity of the echo around the unit to be detected The clutter intensity is classified according to the radar base noise intensity, and the detection threshold coefficient is automatically corrected according to the clutter level. The stronger the clutter area, the larger the detection threshold coefficient. Specific steps are as follows:

[0025] Step 1: For range Doppler plane data X n+l Do the following:

[0026] The range Doppler plane data X of the current coherent processing interval n+l , with the clutter map data Y n Perform weighted summation to generate new clutter map da...

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Abstract

The invention belongs to the technical field of target detecting in radar signal processing and relates to weak target detecting of an impulse Doppler radar under strong clutters. The weak target detecting of the impulse Doppler radar under the strong clutters is characterized in that a clutter image of a full-distance Doppler unit is set up, a constant false alarm threshold is formed by utilizing the distance unit constant false alarm algorithm, clutter strength classes are divided based on strength of echo waves around a to-be-detected unit and strength of noise at the base of the radar, detection threshold coefficients are automatically amended based on clutter classes. A zone where the clutters are stronger has a larger detection threshold coefficient. The weak target detecting of an impulse Doppler radar under strong clutters solves the problem that under strong clutters, false alarm of the radar is enhanced so that time is severely wasted and performances are reduced of a radar system and can be applied to the field of military and civil Doppler radars which perform weak target detecting under strong clutters.

Description

technical field [0001] The invention belongs to the technical field of target detection in radar signal processing, and relates to weak target detection of pulse Doppler radar under strong clutter background. Background technique [0002] Object detection is an essential component of radar signal processing systems. The traditional pulse Doppler radar target detection method is to form a range Doppler plane after the moving target is detected, and the data of each beam contains N range units and M Doppler channels, relying on the same Doppler This approach handles constant false alarm detection with Le channel distance unit averaging. The theoretical basis of range unit average constant false alarm detection is that the target is in the noise background of Gaussian distribution. For the target far away from the clutter area, the probability density distribution of the background is basically a composite Gaussian distribution; but for the target in the strong clutter area, ...

Claims

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Application Information

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IPC IPC(8): G01S7/41
Inventor 袁子乔罗丁利
Owner CNGC INST NO 206 OF CHINA ARMS IND GRP
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