An Optimal Method for Frequency-Domain Detection of High-Speed ​​Radar Targets

Abstract

The invention discloses a high-speed radar target frequency domain detection optimization method. The method comprises the main steps that a radar is determined, it is set that N targets exist inside the detection range of the radar, the radar transmits signals to the N targets within the detection range of the radar by adopting T as a period and receives echo signals reflected by the N targets, and then an optimization symmetric self-correlation function of fast time frequency domain pulse pressure target echo signals is worked out; an energy distribution function of a scale fast time-slow time delay variable frequency plane of the target echo signals is worked out; peak detection is performed on the energy distribution function to obtain N' energy peaks; the number N of targets in the radar detection region is worked out, and a target initial distance estimated value of each corresponding energy peak in fast time dimension-Doppler dimension echo signals B1(n', fm) obtained after a target radial speed estimated value v'1 is used for phase compensation to fast time dimension-Doppler dimension echo signal BN'(n', fm) obtained after a target radial speed estimated value v'N' is used for phase compensation and a target radial speed estimated value corresponding to each energy peak are worked out.

Description

technical field [0001] The invention belongs to the technical field of radar target detection, and in particular relates to an optimization method for high-speed radar target frequency domain detection, which is suitable for solving the problem of linear distance walking in the direction of the line connecting the radar to the target within the radar observation time. Background technique [0002] The basic task of the radar is to find the target within its detection range, and measure the distance from the target to the radar and the target speed. Carrying target information, therefore, the distance from the target to the radar and the target speed are obtained by processing the echo; when detecting a distant weak target, the method of prolonging the observation time is often used to improve the detection performance of the radar; however, with The prolongation of the observation time, the distance walking caused by the target movement and the Doppler spread will reduce the...

AI Technical Summary

Problems solved by technology

[0002] The basic task of the radar is to find the target within its detection range, and measure the distance from the target to the radar and the target speed. Carrying target information, therefore, the distance from the target to the radar and the target speed are obtained by processing the echo; when detecting a distant weak target, the method of prolonging the observation time is often used to improve the detection performance of the radar; however, with The prolongation of observation time, distance walking and Doppler diffusion caused by target movement will reduce the radar detection performance, especially the high-speed movement of the target will seriously reduce the energy accumulation performance of the radar

[0003] The existing scaled inverse Fourier transform (SCIFT) high-speed radar target detection algorithm solves the problem of linear distance walking of radar received echoes when observing targets for a long time, and realizes the coherent accumulation of pulses without violence to target parameters Search; Most of the steps of the SCIFT high-speed radar target detection algorithm are implemented by fast Fourier transform, which is easy to implement; however, the algorithm needs to calculate the symmetric autocorrelation function, and the calculation of the symmetric autocorrelation function is complicated as the number of accumulated pulses increases The degree rises sharply, which limits the practical application of the algorithm

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