A tracking-before-detection method based on hough transform with multi-dimensional parameters

Abstract

The invention relates to a pre-detection tracking method based on multi-dimensional parameters of Hough transform, comprising the following steps: initializing, determining the start of a target track, and taking it as the initial detection result; starting the cycle from the third detection; The characteristic parameters extracted this time are compared with the decision threshold to make a decision; according to the decision result, the target is tracked, and when one of the characteristic parameters of the moving target is relatively divergent, filtering is performed; otherwise, Hough transform is directly performed to perform energy Accumulate; compare the accumulated energy of the target with the accumulation threshold, and update the decision threshold adaptively; pass the target of the accumulation threshold as the final detection result, and start the next cycle. The multi-dimensional parameter-based tracking-before-detection method of the present invention avoids the deviation of the estimated track from the actual track and eliminates the false track, and improves the detection, tracking and distinguishing performance of the radar for multi-moving targets.

Description

technical field [0001] The invention relates to the technical field of radar, in particular to a tracking-before-detection method based on multi-dimensional parameters of Hough transform, which is especially suitable for identification and track tracking of radar multi-targets. Background technique [0002] Radar echo signals are usually accompanied by various noises and clutter, and echo signals containing multiple targets are even more complex and difficult to identify. The traditional target recognition method is to detect first, and then do tracking after processing through a single threshold. While simplifying the tracking and processing data, a lot of potential useful information is ignored, and targets with small signal-to-noise ratio and obvious moving features are easily discarded. Therefore, relevant scholars proposed the TBD algorithm. [0003] B.D.Carlson, E.D.Evans and S.L.Wilson applied Hough transform to radar target detection for the first time, and propose...

AI Technical Summary

Problems solved by technology

However, when the radar echo signal is weak and the echo characteristic parameters are relatively divergent, it is easy to appear that the estimated track deviates from the actual, and the target cannot be effectively tracked; when the radar echo contains multiple similar moving targets, it is easy to appear similar The track of the target is lost; when the judgment limit is modified to have better discrimination performance, some false tracks may be added

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