A Quantitative Evaluation Method for Coherent Laser Detection Effect of Target Micro-motion Feature

Abstract

The invention provides a target micro-motion characteristic coherent laser detection effect quantitative evaluation method, which includes the steps of: employing a smoothed pseudo Winger-Ville distribution algorithm to perform time-frequency analysis processing on collected target micro-motion characteristic coherent laser detection echo signals, and obtaining a time-frequency distribution matrix of the echo signal; calculating a frequency domain aggregation degree of the echo signals; calculating the component resolution of the echo signal; calculating a signal-to-noise ratio of the echo signals; and calculating a total index. The invention provides a method for quantitative evaluation of target micro-doppler effect detection and characteristic extraction effect, obtains the standard, objective, quantitative evaluation of the target micro-motion characteristic detection effect, solves the deficiency of large limitation and bad normalization in the prior qualitative judgment method, and lays foundation for research of the follow-up micro-doppler effect detection influence factors and influence rules and selection of optimal system parameters.

Description

technical field [0001] The invention relates to the technical field of target micro-Doppler feature detection, in particular to a quantitative evaluation method for the coherent laser detection effect of target micro-movement features. Background technique [0002] Accurate detection and identification of targets has always been the key direction of national defense research in various countries. However, with the development and application of stealth technology and decoy technology in recent years, traditional detection and identification methods have been seriously disturbed, and their work efficiency has been greatly reduced. It is difficult to provide effective judgments. Types of targets and true or false information. At the beginning of the 21st century, Professor V.C. Chen of the US Naval Research Laboratory took the lead in proposing the concept of micro-Doppler effect, which opened up a new way of target detection and identification. [0003] The relative radial m...

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Problems solved by technology

[0006] This qualitative comparison method has large individual differences, poor standardization, and has relatively large limitations. For example, for two time-frequency distribution results with obvious differences in the detection effect of target micro-movement features, it can be judged by observation which situation is obtained. The time-frequency distribution is more effective in extracting the micro-movement features of the target, but it is difficult to specify how much better the effect is than the poor one, and it cannot correspond to the previous detection conditions of quantitative changes; and for the two time-frequency distributions where the difference in detection effect is not obvious Frequency distribution results, it is difficult to accurately judge in which case the detection effect is better only by observation, and even misjudgment occurs

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