Multi frame coherent accumulation target track-before-detect method based on dynamic programming

Abstract

The invention discloses a multi frame coherent accumulation target track-before-detect method based on dynamic programming. According to the invention, dynamic programming is used to acquire a possible track of a target in frames of echo data; and estimation and compensation are carried out on the quadratic term of the echo phase of the target, and coherent accumulation is carried out on the target echo in frames of echo data, so as to improve the output signal to noise ratio and weak target tracking is realized. Compared with a conventional non coherent TBD method which does not use the phase information of the target echo when accumulation between frames is carried out, the method provided by the invention uses the phase information of an echo signal when accumulation between frames is carried out. By using fewer frames of echo data, the output signal to noise ratio is improved, thus the target detection probability is improved. The trajectory and the motion information of the target are provided, so that target tracking is realized.

Description

technical field [0001] The invention belongs to the technical field of multi-frame detection and tracking of targets in radar systems, and particularly relates to the technical field of multi-frame detection and tracking of weak targets under the condition of low signal-to-noise ratio. Background technique [0002] With the continuous development and upgrading of target stealth technology, the radar target reflection cross-sectional area (RCS) of radar-detected targets (such as aircraft and ships) has decreased by one to two orders of magnitude. This makes it difficult for the radar to detect targets, and it also poses a threat to the survival of the radar itself. Just because of the above reasons, the detection and tracking of weak targets has become an important research direction in the field of radar detection. In the existing research results, it is mentioned that the output signal-to-noise ratio can be improved by prolonging the pulse accumulation time, thereby improv...

AI Technical Summary

Problems solved by technology

To achieve the same detection performance as the coherent tracking-before-detection algorithm, the traditional non-coherent tracking-before-detection algorithm must use more frames of echo data for accumulation, so the data processing of the traditional non-coherent tracking-before-detection algorithm The amount is also large compared with the coherent detection-before-tracking algorithm

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