Target cluster method and device suitable for field surveillance radar

Abstract

The invention relates to the radar data processing technology and particularly relates to a target cluster method and device suitable for field surveillance radar. The invention provides a target cluster method and device directed to the problem in the prior art. The position of radar serves as a system center point, the radar detecting range is taken as the boundary, and the control space is changed into a rectangular coordinate system plane by projection. Firstly, an original trace point set is distributed in corresponding space units in a direction, then, the space units are subjected to condensation in sequence to obtain a cluster result in the direction, and on this basis, the first cluster result is subjected to condensation in another direction to obtain a final condensation result. The algorithm conducts linear scanning in one-dimensional direction for once condensation, and is better than the traditional algorithm considering two dimensions, thereby being named a dimension-reducing algorithm. In addition, calculation of a distance between any two points is omitted, and the time complexity of algorithm is linear, so that the efficiency is high.

Description

technical field [0001] The invention relates to radar data processing technology, in particular to a target aggregation method and device suitable for surface surveillance radar. Background technique [0002] The surface surveillance radar is used to monitor the ground traffic conditions at the airport, so as to realize the dispatch of ground aircraft and motor vehicles, and to issue an alarm in time when dangerous situations occur. The function of the surface surveillance radar determines its high precision and real-time performance. The distance resolution is up to 3 meters, the azimuth resolution is less than or equal to 0.6°, and the cycle is 1 second. When the radar scans targets such as airplanes and automobiles, there are usually multiple original traces of the recorded targets, and the original trace data of different targets are mixed with false alarms. The target trace aggregation processing is to classify the original trace data and group The point track data ge...

AI Technical Summary

Problems solved by technology

[0011] The operation efficiency of the above several commonly used connected region marking algorithms is not high. The time efficiency of the two-way repeated scanning method is not high due to too many scans; the region growth method not only needs to scan the target pixel multiple times, but also compares the neighborhood of the target pixel. The number of times is also large, and more stack operation time is required; the two-scan method is very inefficient for ladder-shaped connected areas because there are too many equivalent pairs

Secondly, these algorithms scan strictly according to the row and column, and the wave gate cannot be set according to the actual situation, so the flexibility is not great

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