Radar detection method based on generalized keystone transformation and non-coherent accumulation

Abstract

The invention discloses a radar detection method based on generalized keystone transformation and non-coherent accumulation, wherein the method mainly solves the detection problem of a high speed and highly accelerated target in a strong Gaussian white noise background. The method is implemented by the following steps: (1) generating radar target multiple-pulse echoes with Gaussian white noise added, and performing frequency domain pulse compression; (2) correcting range curvature of the pulse-compressed echoes by using the generalized keystone transformation; (3) performing fuzzy compensation on the curvature-corrected echoes by using a fuzzy factor; (4) performing non-coherent accumulation on the fuzzy-compensated echoes, and performing velocity compensation and slow time dimensional quadratic term compensation on the echoes by using a target velocity obtained in the non-coherent accumulation; (5) performing coherent accumulation on the slow time dimensional quadratic term compensated echoes to obtain the target to be detected. The method provided in the invention can eliminate effects of the range curvature and migration of the echoes on energy accumulation, can reduce computation of velocity search, and can be used in the detection of the target in the strong Gaussian white noise background.

Description

technical field [0001] The invention belongs to the technical field of radar and relates to a target detection method, which can be used for efficient processing of radar detection based on multiple coherent pulse echoes in a Gaussian white noise environment. Background technique [0002] In the field of radar target detection, there will be situations where the target to be detected is moving at a high speed. This type of target usually has a high speed and acceleration. The traditional method is to directly perform slow time-dimensional FFT on multiple pulse echoes. If When the target is moving at a low speed, there will be no distance walking, so that the energy of each target echo can be accumulated to achieve the purpose of detecting the target. However, due to the high-speed movement of the target, the target will travel a large distance during the pulse accumulation time, and the high acceleration of the target will also cause the distance of the echo envelope to bend...

AI Technical Summary

Problems solved by technology

However, due to the high-speed movement of the target, the target will travel a large distance during the pulse accumulation time, and the high acceleration of the target will also cause the distance of the echo envelope to bend. If the pulse echo is directly performed in the slow time dimension FFT, Only the energy of the same distance unit can be accumulated, and the total energy of the signal is distributed to multiple distance units, and the peak value of the obtained pulse accumulation result is much lower than that without distance walking and distance bending, so it cannot be detected well As a result, in severe cases, the target may even be lost. Some studies have introduced that the impact of the distance walking of the target on the accumulation result can be removed by using the keystone method. There is no good method to remove the influence of the distance bending of the wave envelope on the accumulation results

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