Radar Spot Agglomeration Method Based on Radon‑Fourier Transform

Abstract

The present invention discloses a radar plot centroid method based on Radon-Fourier transformation. According to the method, the 'fast-slow' time two-dimensional function SMF(t,tau)=NAM sin c(pai MBs(tau-taud(t)))*exp<-j2 pai fb tau d(t)> of a radar echo base-band signal is referred, through the Radon-Fourier transformation, echo energy is focused to a target center of gravity in a distance-azimuth space, and thus the purpose of plot centroid is achieved. According to the method, the operation is simple, the distance and azimuth of plots can be effectively agglomerated, the distance jitter and azimuth jitter phenomena of the plots can be adaptively inhibited, and the problem of the inaccurate agglomeration in plot distance jitter or azimuth jitter of a conventional method is solved. According to the method, based on an energy projection meaning, the process of artificial extraction of an effective value such as subjective weighting or sorting in the present method is solved, and thus the radar plot centroid is more convenient and effective.

Description

technical field [0001] The invention belongs to radar trace aggregation technology, in particular to an adaptive trace aggregation method based on Radon-Fourier transformation. Background technique [0002] Under the electronic informationization of modern warfare, the main task of the radar system is to determine whether the target exists, and to detect and track the target accurately, and the trace extraction of the echo data is the basis for the realization of the task. However, since the same target may be detected at different azimuths and distances at the same time, the radar echo will form multiple point trace data after signal and detection processing. Therefore, the purpose of dot trace aggregation is to extract the real position information of the target as much as possible through a certain algorithm, so as to ensure that the radar only outputs one target position information per scan. The excellent point-track aggregation method improves the accuracy of the targ...

AI Technical Summary

Problems solved by technology

However, the existing method has the following three defects: (1) the existing method is to condense the distance and the azimuth separately; (2) the two benchmark methods are simple but have large errors, and the existing improved method can be improved whether it is weighted Or sorting is based on subjective assignment, the operation is complicated, and the performance improvement is not great; (3) There will be a certain proportion of distance jitter and azimuth jitter in the radar trace. The more the jitter, the more the existing point trace aggregation method will deviate from the target position true value

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