Weak target detecting of impulse Doppler radar under strong clutters

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, ...

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 background where the target is located is quite different from the Gaussian distribution. If the method of range unit average constant false alarm is used, the probability of false alarm will increase significantly. The system time for the radar to confirm the false alarm is significantly increased, making the radar target Significant reduction in effective coverage time for a given coverage area

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