Multistatic radar multi-target imaging positioning method

Abstract

The invention relates to a multistatic radar multi-target imaging positioning method which comprises the steps of initializing system parameters, establishing a two-dimensional echo data matrix, conducting a pulse compression processing, constructing an echo signal measurement matrix, setting initial parameters of an adaptive OMP algorithm, finding the maximal coherent item of the echo signal measurement matrix and reconstruction residual errors, updating an index set, reconstructing target scattering coefficient vectors on a round-trip distance unit set, calculating the reconstruction residual errors, calculating the average reconstruction residual error and the average scattering coefficient vector, calculating the average reconstruction residual error changing rate and an average scattering coefficient changing rate, and determining adaptive iteration termination. The average reconstruction residual error changing rate and the average scattering coefficient changing rate are used as determination conditions for determining iteration termination of an adaptive OMP algorithm, and the target number of a detection area is estimated by using the iteration termination frequency of the adaptive OMP algorithm. The multistatic radar multi-target imaging positioning method is applicable to multistatic radar multi-target imaging positioning in actual situation when the target number is unknown.

Description

technical field [0001] The invention belongs to the technical field of multistatic radar, and more specifically relates to an adaptive OMP-based multistatic radar multi-target imaging positioning method. Background technique [0002] In multistatic radar multi-target positioning, in order to achieve reliable positioning of multiple targets, data association needs to be completed first. However, complex data association algorithms restrict the real-time and accuracy of multistatic radar multi-target positioning. In order to solve the problem of data association, the multistatic radar multi-target imaging positioning method regards the multi-target positioning problem as a three-dimensional imaging problem, and projects the amplitude information of multiple receiver echo signals into the three-dimensional image space, and then extracts them one by one from the image space. Each goal, to achieve the positioning of multiple goals. The three-dimensional resolution of the image ...

AI Technical Summary

Problems solved by technology

The first one is that the output waveform after pulse compression of the linear frequency modulation signal is approximately a Sinc function (see "Pi Yiming, Yang Jianyu, Fu Yusheng, Yang Xiaobo. Principles of Synthetic Aperture Radar Imaging. First Edition. University of Electronic Science and Technology Press .2007.3"), there are main lobe broadening and side lobe crosstalk problems, which lead to a decrease in range resolution, which seriously affects the imaging quality in the three-dimensional image space and reduces the correctness and accuracy of the positioning method

The second shortcoming is that when this method extracts the target from the image space, the number of targets in the detection area needs to be known, and this condition is usually difficult to achieve in practical applications

However, the premise of the OMP algorithm is that the number of non-zero elements in the original sparse signal needs to be known (corresponding to multi-static radar multi-target imaging positioning, that is, the number of targets in the detection area needs to be known), if the original sparse signal is non-zero The number is unknown, and the reconstruction performance of the algorithm will be severely degraded

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