Hypersonic target TBD accumulation detection method through space-time polynomial radon transformation

Abstract

The invention relates to a hypersonic target TBD accumulation detection method through space-time polynomial radon transformation and belongs to the field of radar signal processing and data processing.According to the characteristics that a hypersonic target of the near space is long in distance, ultra high in speed and high in accelerated speed, modeling is conducted on movement of a target azimuth dimension and a radial distance dimension with a polynomial, parameter research is conducted in the azimuth dimension and the radial distance dimension, and energy accumulation is achieved in a parameter space of space-time polynomial radon transformation.By means of the method, TBD accumulation is conducted under a polar coordinate system, the problems that a measuring trajectory topology is seriously deformed under a rectangular coordinate system, and it is difficult for the measuring path topology to be matched with a real trajectory are solved, accumulation is conducted by means of amplitude of signals, the accumulated error brought by radar signal binarization preprocessing conducted by a traditional TBD is avoided, the false-alarm probability is lowered, and real-time performance of detection is improved.

Description

technical field [0001] The invention belongs to the field of radar signal processing and data processing, and is suitable for solving the problem of TBD non-coherent signal accumulation of hypersonic stealth maneuvering targets. Background technique [0002] Hypersonic speed is more than Mach 5, which is more than 5 times the speed of sound (about 6000 kilometers per hour). Realizing hypersonic flight in the atmosphere is the most cutting-edge technology at present. The most famous one is the HTV-2 "Falcon" in the United States. Sonic aircraft program, X-37B aerospace demonstrator, X-43 and X-51 hypersonic demonstrator, etc. The high-altitude "corridor" 20 to 100 kilometers above the ground is an ideal space for hypersonic vehicles to fly long distances, also known as adjacent space. In this "corridor", the engine is briefly started to push the aircraft to climb again, fall back, and climb again, and so on. , making a "jump" every two minutes, each jump is about 450 kilomet...

AI Technical Summary

Problems solved by technology

[0005] (1) The precondition of the traditional Hough transform TBD is that the target moves in a straight line, and its detection performance will decrease when the hypersonic target in the adjacent space moves along a curve;

[0006] (2) Most of the Hough transform TBD is accumulated in the Cartesian coordinate system. For hypersonic targets in the adjacent space, since the target is far away, the position error caused by the radar azimuth error will be very large, making the trajectory of the target in the Cartesian coordinate system The topological shape of the real trajectory is quite different, which reduces the performance of the traditional TBD method using the idea of ​​​​graphic detection;

[0007] (3) The traditional Hough transform TBD method mostly puts all the N frames of radar data to be processed in one frame, and finds the corresponding straight line or curve in the image by means of image processing. Since the Hough transform does not distinguish between each radar frame In the case of low signal-to-noise ratio, false alarms are likely to occur

Therefore, the traditional TBD method cannot fully meet the needs of inter-frame signal accumulation of hypersonic targets in adjacent space

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