High-speed maneuvering target tracking method based on linear regression and cluster analysis theories

Abstract

The invention relates to a high-speed maneuvering target tracking method based on linear regression and cluster analysis theories. The method is mainly suitable for radar to track a target which has a high speed and a wide-range variation of an accelerated speed, and the method can achieve stable tracking of various maneuvering conditions under the condition that real-time performances are guaranteed. The method includes implement processes that firstly, a sample set is established for historical parameters of a maneuvering target track, a self-adaption relevance wave door is designed according to regression analysis theories, and the track is split to form a plurality of tracks; then a sample with concentrated main tracks is projected to extract feature vectors, and a cluster center is acquired and the similarity in a cluster is calculated according to the cluster analysis theories; projection values of split track parameters are sequentially obtained by means of the same method, and the projection values are samples to be resolved; and finally, an interest target track is extracted according to a similarity discrimination criterion. According to practical engineering application of the method, the method is capable of achieving stable tracking of the high-speed strong maneuvering target and has wide application prospects with continuous improvement of maneuvering capability of future weaponry.

Description

technical field [0001] The invention belongs to the maneuvering target tracking technology in radar data processing, and adopts a high-speed maneuvering target tracking method based on linear regression and cluster analysis theory. Background technique [0002] Maneuvering target tracking is an important topic in radar data processing. At present, with the continuous improvement of the maneuverability of the target itself, the maneuverability has become an important tactical index for measuring the weapon system. Therefore, the problem of maneuvering target tracking with large-scale changes or sudden changes in maneuvering acceleration has been widely concerned. Tracking high-speed maneuvering targets is a problem that modern radar systems must solve. [0003] The biggest difficulty in maneuvering target tracking is that the maneuvering target model cannot meet the needs of actual movement. The traditional method is often aimed at the target maneuver model itself, adding t...

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Problems solved by technology

[0003] The biggest difficulty in maneuvering target tracking is that the maneuvering target model cannot meet the needs of actual movement

The traditional method is usually to add the relevant maneuver variation to the target maneuver model itself. When the maneuver occurs, the maneuver is judged by setting the threshold and the maneuver variation is adjusted to realize the maneuvering target tracking. This method often has the problem that the maneuver variation cannot meet the actual situation. The need for maneuver changes, so when the maneuver acceleration changes in a large range, the target cannot be tracked; or use a multi-model method to switch between models when a maneuver occurs, or add a filter model to obtain the best target state. location valuation

This method has high algorithm complexity, and it is not easy to realize adaptive control of filter parameters.

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