Emplacement radar recognition algorithm based on decision theory

Abstract

The invention relates to a decision theory-based emplacement radar recognition algorithm, which comprises the following steps: feature extraction: ballistic feature extraction, micro-motion feature extraction and RCS feature extraction are included, ballistic features comprise a firing range, a firing angle and an initial velocity, a radar finds a target and performs batch tracking, and after tracking is performed for a period of time and an extrapolation condition is met, a ballistic extrapolation module performs ballistic extrapolation; then, information such as a range, a firing angle and an initial velocity is extracted from an extrapolation result, ballistic features are sent to corresponding channels for processing, RCS features comprise RCS mean values, variances and ranges, and micro-motion features comprise that micro-motion of a ballistic target modulates radar echoes, and micro-Doppler features which are associated with the micro-motion of the target and can distinguish different targets are formed; and performing target identification based on a decision theory. According to the method, the complete track of the projectile from launching to the drop point is not needed, and accurate target identification can be completed only by tracking a flight track, so that the energy consumption of the radar is greatly reduced, and the identification speed is improved.

Description

technical field [0001] The invention relates to the field of radar systems, in particular to a gun position radar identification algorithm based on decision theory. Background technique [0002] The main task of the ground gun position detection and calibration radar is to detect and track the projectiles of enemy artillery on the battlefield. The radar tracks the flying projectiles for a short period of time. Type of artillery. Due to the many types of artillery at home and abroad, and the complex shooting conditions on the battlefield, many different types of artillery have similar ballistics under different shooting conditions, and there are overlapping areas in characteristics such as speed, firing angle, ballistic height, and shooting distance. Therefore, ordinary targets The recognition accuracy of the recognition algorithm is not high, and misjudgment often occurs; and in the existing target recognition algorithm, it is necessary to track the projectile throughout th...

AI Technical Summary

Problems solved by technology

Due to the many types of artillery at home and abroad, and the complex shooting conditions on the battlefield, many different types of artillery have similar ballistics under different shooting conditions, and there are overlapping areas in characteristics such as speed, firing angle, ballistic height, and shooting distance. Therefore, ordinary targets The recognition accuracy of the recognition algorithm is not high, and misjudgment often occurs; and in the existing target recognition algorithm, it is necessary to track the projectile throughout the whole process (from the launch of the artillery to the landing of the projectile) in order to complete the target recognition more accurately, which causes radar Waste of energy, the recognition speed is very slow, which seriously affects combat use

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