Target trajectory estimation method based on preprocessing

Abstract

The invention provides a target trajectory estimation method based on preprocessing. According to the method, first, image data are preprocessed, and effectively data are screened out; then, targets are tracked and accumulated along the preset trajectory according to the motion characteristics of the targets, and a threshold is set for detection and judgment; finally, information of the targets is obtained, and false targets are removed. When targets are preprocessed with the method, the operation amount is reduced, the operating speed is increased, and the target trajectory estimation method based on preprocessing can be applied more widely.

Description

technical field [0001] The invention relates to the field of target estimation, in particular to a preprocessing-based target trajectory estimation method. Background technique [0002] Non-coherent accumulation is to directly accumulate the amplitude of radar target echoes to improve the signal-to-noise ratio of target echo signals. The key to this method is how to concentrate the energy of targets scattered in different positions as much as possible. For radar high-speed weak targets, since the target information is unknown, the traditional detection methods cannot accumulate the target energy. Between multi-frame signals, the target distance and Doppler frequency changes are continuous, so the target's motion trajectory is a continuous curve within the accumulation time. If this target motion curve can be detected, the entire Accumulate the movement trajectory and other movement information of the target within the time. At present, the target trajectory estimation meth...

AI Technical Summary

Problems solved by technology

However, this method has a large amount of processing, which makes its real-time performance poor.

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