Real-time filtering method of trace point sequences for multi-frame joint detection and tracking

Abstract

The invention discloses a real-time filtering method for multi-frame joint detection and tracking algorithm output trace point sequences, and belongs to the technical field of radar target detection and tracking. In order to solve the problem that existing processing methods lack real-time performance in improving the tracking accuracy of a target, and the correlation between the trace point sequences output by a tracking algorithm before detection is difficult to calculate, a track point set belonging to the same target at the same time is first obtained according to the track point sequencesoutput by the tracking algorithm before detection in batches, then trace points in the track point set are separately subjected to Kalman filtering to obtain corresponding updated state estimate andposterior covariance estimate, and then a minimum value of the updated posterior covariance estimate is obtained based on the determinant minimization criterion to obtain corresponding weight values;and finally, the obtained weight values are used for obtaining the state estimate and the posterior covariance estimate after weighted sum, and the filtering of the track point sequences is completed.According to the real-time filtering method for the multi-frame joint detection and tracking algorithm output trace point sequences, the tracking accuracy of the tracking algorithm before detection is significantly improved.

Description

technical field [0001] The invention belongs to the technical field of radar target detection and tracking, and in particular relates to a filtering technology of a dot trace sequence output by a tracking algorithm before batch processing detection. Background technique [0002] For the data plane obtained by radar scanning, in order to track the target, the traditional tracking algorithm will perform constant false alarm detection on the single frame data plane, and the target is easily lost during the constant false alarm detection process, which seriously reduces the radar's detection and tracking of weak targets. performance, weakening the power of the radar system and pushing the range farther. [0003] Track-before-detection technology is a technology that can detect and track weak target signals. The biggest difference from the traditional detection method is that the tracking before detection technology does not perform threshold judgment detection on the data in a ...

AI Technical Summary

Problems solved by technology

However, the above-mentioned tracking-before-detection algorithm outputs a number of dot trace sequences of the same length, and directly using them as the estimation of the target trajectory will lead to low target tracking accuracy.

In the literature "A novel dynamic programming algorithm for track-before-detect in radar systems, IEEE Transactions on Signal Processing, vol.61, no.10, pp.2608–2619, 2013" proposes a point for the output of the tracking algorithm before detection To improve the target tracking accuracy; however, it does not introduce the details of smoothing the point trace sequence

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