Hough transform-based track-before-detect method of multidimensional parameters

Abstract

The invention relates to a Hough transform-based track-before-detect method of multidimensional parameters. The method includes the steps of performing initializing to determine a target track initiation, as an initial detection result; allowing cycling for a third detection; according to a last detection result and characteristic parameters extracted via the current detection, performing differencing and comparison of judgment thresholds, and performing judging; according to judging results, tracking a target; performing filtering if certain characteristic parameter of the target is divergent, directly executing Hough transform if the characteristic parameter is not divergent, and performing energy accumulation; according to a target accumulated energy and an accumulative threshold, performing comparing, and performing adaptive updating and judging the threshold; using the target of the accumulative threshold as a final detection result, and starting a next cycle. The method has the advantages that the pre-detected track is avoided being divorced from actuality, false tracks are eliminated, and the ability of radar to detect, track and distinguish multiple moving targets is improved.

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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