Radar Cross Section Prediction Method for Radar Resource Management

Qin Tong; Dai Feng-zhou; Liu Hong-wei

doi:10.11999/JEIT141466

Volume 37 Issue 8

Aug. 2015

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Qin Tong, Dai Feng-zhou, Liu Hong-wei. Radar Cross Section Prediction Method for Radar Resource Management[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1849-1854. doi: 10.11999/JEIT141466

Citation:

Qin Tong, Dai Feng-zhou, Liu Hong-wei. Radar Cross Section Prediction Method for Radar Resource Management[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1849-1854. doi: 10.11999/JEIT141466

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Radar Cross Section Prediction Method for Radar Resource Management

doi: 10.11999/JEIT141466

Received Date: 2014-11-24
Rev Recd Date: 2015-05-07
Publish Date: 2015-08-19

Abstract

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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References(16)

References

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.

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