一种用于雷达资源管理的目标雷达截面积预测算法

秦童; 戴奉周; 刘宏伟

doi:10.11999/JEIT141466

一种用于雷达资源管理的目标雷达截面积预测算法

doi: 10.11999/JEIT141466

基金项目:

国家自然科学基金(61271291, 61201285)，新世纪优秀人才支持计划(NCET-09-0630)，全国优秀博士学位论文作者专项资金(FANEDD- 201156)和中央高校基础本科研业务费

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出版历程
- 收稿日期: 2014-11-24
- 修回日期: 2015-05-07
- 刊出日期: 2015-08-19

Radar Cross Section Prediction Method for Radar Resource Management

摘要

摘要: 在管理与优化雷达有限资源的应用中，目标的雷达截面积的起伏会对资源分配后的效果产生巨大的影响。针对该问题，该文提出一种对目标的雷达截面积进行预测的方法。该方法首先对回波进行处理以获取目标雷达截面积的测量值，进而通过概率密度转移的方法对目标在下一个时刻的雷达截面积进行预测。通过对来自3种飞机的雷达实测数据的计算，验证了该预测方法能够得到较为准确的预测值。最后，建立功率分配的优化方程，并通过仿真验证了对雷达截面积准确的预测能够提高功率分配后的测量精度。
- 雷达截面积预测 /
- 概率密度 /
- 资源管理
Abstract: In the application of planning and management of the limited resources of radar, the fluctuation of the targets Radar Cross Section (RCS) area will have a significant impact on the effects of allocation of resources. For this problem, this paper puts forward a prediction of target radar cross section method. This method firstly gets the measurement of the targets radar cross section, and predicts the value by using the method of probability density transfer. Based on the calculation of radar measured data from three types of aircraft, the method can get more accurate prediction. Finally, the optimization of power distribution equation is built and simulation results demonstrate that the accurate prediction of the RCS will improve the measurement accuracy after the power allocation.
- Radar Cross Section (RCS) prediction /
- Probability density /
- Resource management

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参考文献(16)

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