Threshold adaptive two-parameter clutter map constant false alarm method

Abstract

The invention relates to a threshold adaptive two-parameter clutter map constant false alarm method. The method includes the steps of (a) establishing azimuth, pitch, distance, Doppler and PRF five-dimensional dynamic stereo clutter maps of the clutter amplitude mean and the clutter amplitude square; (b) obtaining the variance of the clutter by means of the clutter amplitude mean and the clutter amplitude square , and weighting and summing the clutter amplitude mean and variance according to the adaptive proportion coefficient to obtain the two-parameter clutter map detection threshold, and multiplying the two-parameter clutter map detection threshold by the threshold coefficient to obtain the final comparison threshold, and comparing the detected unit with the final threshold to obtain the detection output; and (c) automatically correcting the proportion coefficient of the clutter mean in the two-parameter clutter map threshold according to the mean intensity level of the clutter surrounding the detected unit, and meanwhile, automatically correcting the proportion coefficient of the clutter variance in the two-parameter clutter map threshold according to the clutter square intensity level to realize the threshold adaptive adjustment.

Description

technical field [0001] The invention belongs to the field of array radar digital signal processing, and relates to a constant false alarm target detection algorithm based on an FPGA-based threshold self-adaptive adjustment of a dual-parameter clutter map. The solution proposed for the problem that the detection false alarm probability is high and affects the target detection when the clutter fluctuation is large can be widely used in the field of digital array signal processor products for ground-based and airborne radars. Background technique [0002] Modern missiles are developing towards low-altitude flight and small radar cross-sectional areas. If ground-based radars want to detect such weapons, they must suppress ground clutter, and forming a clutter map is the key to solving the problem. Clutter map constant false alarm detection technology is a technology used to detect low-speed targets or suppress clutter, which is widely used by many radars. The traditional clutte...

AI Technical Summary

Problems solved by technology

The traditional clutter map technology is suitable for the clutter environment with severe changes in the air domain and relatively stable time domain. For the clutter environment with a relatively large range of clutter-to-noise ratio changes, it cannot effectively control false alarms.

[0004] (2) The constant false alarm detection threshold of the traditional clutter map is fixed, and the threshold cannot be dynamically adjusted according to the surrounding clutter environment. If the threshold is too low, the false alarm is too large, and if the threshold is too high, the detection loss will be large

[0005] However, ground clutter mainly comes from backscattering caused by strongly undulating ground, woods and tall buildings. Under complex meteorological conditions, clutter is time-varying and non-stationary in each clutter unit. Traditional The clutter map technique is not suitable for this case

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