Multi-hypothesis multi-target track initiation method based on grid clustering

Abstract

The invention provides a multi-hypothesis multi-target track initiation method based on grid clustering. The multi-hypothesis multi-target track initiation method comprises the steps of obtaining a trace point set and mapping the trace point set into a grid; determining boundary points of the current high-density grid; forming a trace point cluster based on boundary points of the high-density grid; performing clustering processing on each trace point cluster to generate a cluster; establishing an association hypothesis of a target and measurement in the cluster; and obtaining an optimal hypothesis according to the hypothesis probability obtained through calculation, calculating track scores, sorting the track scores from high to low, deleting low-score tracks through backtracking so as toconfirm track generation, and updating target state estimation of the tracks. According to the method, a plurality of target tracks can be initiated, the problem of multiple false tracks in a high-density clutter environment is solved, and engineering application under a high-density clutter condition is facilitated.

Description

technical field [0001] The invention relates to the technical field of radar information processing, in particular to a grid clustering-based multi-hypothesis multi-target track initiation method. Background technique [0002] Traditional track initiation algorithms mainly include intuitive method, logic method, modified logic method, Hough transform method and modified Hough transform method. The intuitive method utilizes the target speed and position as constraints, and the amount of calculation is small, and the certainty of the track is relatively poor. The logic method starts by predicting and correlating the wave gate, and the track of the target can be effectively started only when the false alarm rate is not very high. The modified logic method is to add a priori information correction such as azimuth and angle on the basis of the logic method. It is relatively simple to process the track start in weak clutter and single target. In the strong clutter environment, th...

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Problems solved by technology

The invention effectively combines the grid clustering algorithm and the multi-hypothesis algorithm, uses the grid clustering to remove part of the clutter in the high-density clut...

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