Detecting tracking integrated method for multi-target scene

Abstract

The invention discloses a detecting tracking integrated method for a multi-target scene, and belongs to the technology of radar detecting and tracking. The method is a multi-target tracking method coupling Bayes detection and joint probabilistic data association (JPDA) filtering. The method includes the steps that position distribution information of targets at the current moment is calculated according to prediction of a JPDA tracking filter at the previous moment; a Bayes detector takes the distribution information as prior information for detecting a judgment and detects the targets; finally, the JPDA tracking filter is used for detecting obtained measurement trace points and carries out data correlation on the measurement trace points and the targets to finish position estimation and track updating of the targets at the current moment, and position distribution information of the targets at the next moment is predicted. The method can be used in detection and tracking of adjacent targets, and has good performance and good practicality.

Description

Technical field [0001] The invention belongs to the field of radar signal processing, and specifically relates to radar detection and tracking technology. Background technique [0002] The target tracking of active radar generally adopts the detection after tracking system (DBT), that is, the single-frame threshold detection and judgment are performed to obtain the point trace data, and then the point trace data that has passed the threshold are processed by aggregation, correlation, and filtering, and finally formed Target track. In the case of high signal-to-noise ratio (SNR), the traditional detection and tracking technology can effectively realize the detection and tracking of the target, and has the advantages of small calculation amount and less radar system resources. However, with the continuous development of modern stealth technology, the target radar cross-sectional area (RCS) has been greatly reduced, and the interference of strong clutter environments (urban, forest...

AI Technical Summary

Problems solved by technology

However, these research works are all aimed at the single target situation. However, in the actual radar surveillance environment, it is often encountered that multiple targets exist at the same time. At this time, it is necessary to estimate the state of each target at the same time. The single-target detection and tracking integration scheme cannot effectively monitor and track multiple targets, because as the number of targets increases, the problem of data association between the measurement points obtained during the detection process and the target track becomes particularly difficult ; and when multiple targets are adjacent, due to the uncertainty of the source of the measurement point track, it will cause mutual interference between different tracks. These problems cannot be solved in the existing integrated detection and tracking scheme for a single target

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