Distributed type coherent radar target parameter estimation method based on interpolation compensation

Abstract

The invention discloses a distributed type coherent radar target parameter estimation method based on interpolation compensation to solve the problems in the prior art that accuracy of the parameter estimation of a slow moving target of the ground is poor, and real-time processing efficiency is not high. The method comprises the following steps that (1), a baseband echo matrix is generated; (2), the baseband echo matrix is subjected to filter processing; (3), rough position parameters of the ground slow moving target are estimated; (4), the interpolation compensation method is used for estimating fine position parameters of the ground slow moving target; and (5), horizontal and vertical coordinates of the ground slow moving target are found out. Compared with the prior art, parameter estimation accuracy of the distributed type coherent system for the ground slow moving targets is improved, and the real-time processing efficiency of the distributed type coherent system is improved.

Description

Technical field [0001] The invention belongs to the field of radar technology, and further relates to a method for estimating a target parameter of a distributed coherent radar based on interpolation compensation in the field of moving platform radar technology. The invention can use a distributed coherent system to estimate the position coordinates of a slow moving target on the ground. Background technique [0002] When the distributed coherent system works on the sea or detects high-altitude targets, the clutter is relatively weak. At this time, the estimation of target parameters by the distributed coherent system under the background of weak clutter can be regarded as the estimation of target parameters under the background of noise. Distributed coherent system has the advantages of long detection distance and high coherent performance, so it is widely used in detection scenarios that require high parameter accuracy. [0003] Song Jing, Zhang Jianyun, Zheng Zhidong and others...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that since the energy accumulation is achieved by registering the phase, it will bring an additional phase to the target echo, causing the estimated target position coordinates to deviate from the real target position coordinates

The disadvantage of this method is that this method introduces the optimization problem of 'overdetermined' nonlinear least squares estimation, which will bring the least squares fitting error to the subsequent maneuvering target parameter estimation, resulting in the maneuvering target parameter Estimated Accuracy Worse

The disadvantage of this method is that in the frequency domain zero padding step, the time domain upsampling to interpolate the correlation results will increase the amount of calculation in the system, resulting in low real-time performance of the system

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