Method and system for detecting two-dimensional CFAR of monopulse radar based on FPGA

Abstract

The invention discloses a method and system for detecting two-dimensional CFAR of a monopulse radar based on an FPGA. The method comprises the following steps of: A, designing a data pool, wherein thesize of the data pool is X*Y, X is a distance dimension, Y is the size of a reference window, a protection unit is set to be H, a detection factor is F, and a threshold is Z; B, judging whether a detection point is a boundary point or not, if not, executing C1, otherwise, executing C2; C1, calculating the comparison result of the energy values of the detected data in the upper direction, the lower direction, the left direction and the right direction, accumulating and multiplying F, comparing the product with Z, and if the product exceeds Z, taking the detected point as a target point; C2, dividing the upper direction, lower direction, left direction, and right direction of the detection unit into effective directions and invalid directions, wherein the number of the effective directionsis p; updating a threshold Z to p / 4; calculating the comparison result of the energy value of the detected data in the effective directions, accumulating and multiplying F, comparing the product withZ, and if the product exceeds Z, taking the detected point as the target point. The method can effectively reduce false alarm; and the detection can be quickly and timely carried out when the reference window is larger.

Description

technical field [0001] The invention belongs to the technical field of radar information processing, in particular to an FPGA-based two-dimensional CFAR detection method and system for monopulse radar. Background technique [0002] The actual detection performance of radar constant false alarm (CFAR) detection has a great relationship with the distribution of its reference background cells. Classical cell average (CA) CFAR achieves the best detection performance when the reference background cells are uniformly distributed. However, in most applications, there will inevitably be multi-target interference in the CFAR reference unit window. In addition to adjacent targets, the same target will also show a cross-unit distribution similar to multiple targets due to the widening of the range channel. In the multi-target interference environment, the detection performance of CA-CFAR will decrease rapidly with the increase of interference points. Ordered statistics (OS) CFAR dete...

AI Technical Summary

Problems solved by technology

However, the structure of the traditional DSP chip is serial in nature, and there is no advantage for the underlying signal processing algorithm that needs to process a large amount of data and high processing speed, but the operation structure is relatively simple.

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