Multi-objective joint optimization method of multi-base radar radiation parameters based on radio frequency stealth

Abstract

The invention discloses a multi-objective joint optimization method for multi-base radar radiation parameters based on radio frequency stealth, including determining the composition of the multi-base radar system and its working parameters; The predictive Bayesian Cramer-Roo lower bound matrix with signal bandwidth as an independent variable is used as a measure of the accuracy of moving target prediction and tracking at the next moment; a multi-objective joint optimization model of multi-base radar radiation parameters based on radio frequency stealth is established; Optimize the model. In this method, under the condition of satisfying the resource constraints of the multistatic radar system at the next moment, the optimization goal is to minimize the total residence time of the multistatic radar for all targets and the sum of the prediction and tracking accuracy of all illuminated targets at the next moment. The distribution method, the sampling interval of the radiation radar, the dwell time, and the bandwidth of the transmitted signal are jointly optimized to further improve the radio frequency stealth performance of the multi-base radar system when tracking multiple targets.

Description

Technical field [0001] The present invention belongs to the technical field of radar signal processing, particularly to RF stealth Duojileida irradiation parameters based multi-objective optimization methods combined. Background technique [0002] Lessons learned from the Gulf War to tell us, to win the right battlefield electromagnetic system to obtain air superiority plays a decisive role in the victory of the war. To do in the war before the enemy found before the enemy attacks, we must vigorously develop radio-frequency radar stealth technology. Radar RF stealth technology is that certain features of the radar signal RF radiation reduction control, the enemy object is to increase the RF passive detection system signal detection, sorting, identification difficult to achieve RF passive enemy radar system with respect to the detection system the "invisible." RF stealth radar system performance depends on whether the current task radar mode, a passive type of enemy detection equi...

AI Technical Summary

Problems solved by technology

However, the existing research results have not considered the optimal design of the radar sampling interval, which has certain limitations

In the prior art, there is no multi-objective joint optimization method for multi-base radar radiation parameters based on radio frequency stealth

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