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

计量
- 文章访问数: 1409
- HTML全文浏览量: 183
- PDF下载量: 461
- 被引次数: 0
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

HTML全文

参考文献(16)

严俊坤, 纠博, 刘宏伟, 等. 一种针对多目标跟踪的多基雷达系统聚类与功率联合分配算法[J]. 电子信息学报,　2013, 35(8): 1875-1881.

Yan Jun-kun, Jiu Bo, Liu Hong-wei, et al.. Joint cluster and power allocation algorithm for multiple targets tracking in multistatic radar systems[J]. Journal of Electronics Information Technology, 2013, 35(8): 1875-1881.

Godrich H, Petropulu A P, Vincent H, et al.. Power allocation strategies for target localization in distributed multiple-radar architectures[J]. IEEE Transactions on Signal Processing,　2011, 59(7): 3226-3240.

Elshafei M and Hanif D. Radar pluse interleaving for multi-target[J]. Naval Research Logistics,　2003, 6(10): 101-103.

Ghosh S, Hansen J, Rajkumar R, et al.. Integrated resource management and scheduling with multi-resource constraints [C]. Real-Time Systems Symposium, Lisbon, 2004: 25-37.

Li W L and Yuan S. Efficient anchor power allocation for location-aware networks[C]. IEEE International Conference (ICC), Kyoto, 2011: 1-6.

Inasawa Y, Saito M, Naito I, et al.. Numerical calculation and experimental validation of RCS analysis for radome-enclosed scatterer by using PMCHWT- formulation[C]. 2011 General Assembly and Scientific Symposium, Istanbul, 2011: 1-4.

Altm N and Yazgan E. RCS prediction using fast ray tracing in plucker coordinates[C]. 2013 7th European Conference on Antennas and Propagation, Sweden, 2013: 284-288.

Chan K K, Wong S, Riseborough E, et al.. RCS predictions and measurements of a full size jet engine model[C]. Antennas and Propagation Society International Symposium, Memphis, 2005: 97-100.

El-Kamchouchy H, Saada K S, Hafez A E S, et al.. An accurate multistatic radar RCS for airhawk F117 stealthy target[C]. 15th International Conference on Computer Modelling and Simulation, Cambridge, 2013: 734-738.

Sun Bin, Wang Xue-zhi, Moran B, et al.. Target tracking using range and RCS measurements in a MIMO radar network[C]. Radar Conference 2013, Beijing, 2013: 1-6.

Jeong Ho-ryung, Lee Dong-han, Oh Tae-bong, et al.. RCS measurement and analysis of corner reflector and its background for KOMPSAT-5 calibration and validation[C]. 2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar(APSAR), Seoul, 2011: 1-4.

Mertens M and Ulmke M. Ground target tracking with RCS estimation utilizing probability hypothesis density filters[C]. 16th International Conference on Information Fusion, Istanbul, 2013: 2145-2152.

Tong Jun, Shan Gan-lin, et al.. Decomposition of maneuvering target RCS based on wavelet analysis[C]. 2010 First International Conference on Pervasive Computing, Signal Processing and Applications. Hangzhou, 2010: 972-976.

Li Yong, Li Wen-zhu, Yuan Li, et al.. Research on RCS characteristic of three kinds of metal plat[C]. 2012 IEEE 2nd International Conference on Cloud Computing and Intelligent Systems (CCIS), Hangzhou, 2012: 875-878.

Kay S M著. 罗鹏飞, 张文明, 刘忠, 等译. 统计信号处理基础估计与检测理论[M]. 第1版, 北京: 电子工业出版社, 2011: 44-47.

施引文献

资源附件(0)

访问统计