Lidar detection simulation platform for flying smart missiles

Abstract

The invention discloses a laser radar simulation experiment platform carried by flying smart missiles, including a horizontal motion mechanism, a rotating mechanism, a connecting mechanism, a detection module, a scaled model, a support plate and two sets of support mechanisms. Two sets of support mechanisms are symmetrically fixed on the ground, and the scaled model is set on the ground. Two sets of support mechanisms are connected at both ends of the support plate to avoid stress bending. Both ends of the horizontal motion mechanism are supported and fixed by two sets of support mechanisms and are located below the support plate. , the rotating mechanism is fixedly connected with the horizontal motion mechanism through the connecting mechanism, and moves together with the horizontal mechanism. The detection module is fixed on the rotating mechanism to rotate and scan the scaled model along with the rotating mechanism. The invention simulates the scanning and detection process of the swept-flying smart missile and arrow, provides data for the research on the detection target recognition algorithm of the high-rotation skimming-flying smart missile and the missile, and provides a theoretical basis for the overall design of the high-spinning and swept-flying smart missile.

Description

technical field [0001] The invention belongs to laser detection and guidance, and in particular relates to a laser radar detection simulation platform carried by swept-flying smart missiles and arrows. Background technique [0002] Skip-fly smart ammunition is a new type of smart ammunition proposed to solve the problems of traditional terminal-sensitive ammunition, such as complex action process, low reliability, slow falling speed, long airborne time, poor aerodynamics, and easy countermeasures caused by detection while descending. At this stage, there are few researches and papers on the detection and recognition of targets by flying dexterous missiles. Zhao Bobo used the Monte Carlo method to explore the target capture and hit probability in the article "Research on the Dynamic Characteristics and Hit Probability of High Spinning Flying End-Sensitive Projectiles"; In the article "Research on the Steady-state Scanning Characteristics", the steady-state scanning mechanism...

AI Technical Summary

Problems solved by technology

The above two methods only studied the probability of the skimming smart projectile detecting the target at the theoretical level, and did not specifically propose an algorithm for target recognition

And it failed to consider the specific detection equipment and did not set up specific experiments to further verify whether the data obtained after detecting the target can effectively identify the target

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