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Volume 42 Issue 4
Apr.  2016
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Journal of Beijing University of Aeronautics and Astronautics  > 2016  >  42(4): 851-857.
DAI Xiaoxia, CAO Chen, FENG Yuanet al. Optimization on stealth aircraft RCS models using Bayesian-MCMC estimation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(4): 851-857. doi: 10.13700/j.bh.1001-5965.2015.0248(in Chinese)
Citation: DAI Xiaoxia, CAO Chen, FENG Yuanet al. Optimization on stealth aircraft RCS models using Bayesian-MCMC estimation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(4): 851-857. doi: 10.13700/j.bh.1001-5965.2015.0248(in Chinese)
shu

Optimization on stealth aircraft RCS models using Bayesian-MCMC estimation

doi: 10.13700/j.bh.1001-5965.2015.0248
  • 1.

    School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

  • 2. China Academy of Electronics and Information Technology, Beijing 100041, China

Funds:  National High-tech Research and Development Program of China (2012AA01A308);National Basic Research Program of China (613206)
  • Received Date: 24 Apr 2015
  • Rev Recd Date: 31 Jul 2015
  • Publish Date: 20 Apr 2016
    Abstract
  • When statistically modeling a stealth aircraft, conventional methods estimate characteristic parameters via calculating the statistics of radar cross section (RCS) directly, which may lead to relatively large fitting errors. Therefore,we introduce the Bayesian-Markov chain Monte Carlo (Bayesian-MCMC) method to improve the parameter accuracy so as to reduce the fitting errors. The posterior parameter estimators of the Chi-square and lognormal models are derived in the Bayesian framework. Then the MCMC sampling algorithm is adopted to calculate the parameter estimates by constructing Markov chains. Numerical results show that the estimation errors of the proposed method are 1-2 orders of magnitude lower than the error convergence threshold. Besides, the proposed method is suitable for both target fluctuation models and improves the curve fitting accuracy by more than 50%.

     

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    • References(17)
  • [1]
    CUI G, DE MAIO A,PIEZZO M.Performance prediction of the incoherent radar detector for correlated generalized Swerling-Chi fluctuating targets[J].IEEE Transactions on Aerospace and Electronic Systems,2013,49(1):356-368.
    [2]
    岳奎志,孙聪, 姬金祖.双立尾对战斗机隐身特性的数值模拟[J].北京航空航天大学学报,2014,40(2):160-165. YUE K Z,SUN C,JI J Z.Numerical simulation on the stealth characteristics of twin-vertical-tails for fighter[J].Journal of Beijing University of Aeronautics and Astronautics,2014,40(2): 160-165(in Chinese).
    [3]
    ZIKIDIS K, SKONDRAS A,TOKAS C.Low observable principles,stealth aircraft and anti-stealth technologies[J].Journal of Computations & Modeling,2014,4(1):129-165.
    [4]
    SWERLING P. Probability of detection for fluctuating targets[J].IRE Transactions on Information Theory,1960,6(2):269-308.
    [5]
    SONG X F, BLAIR W D,WILLETT P,et al.Dominant-plus-Rayleigh models for RCS:Swerling Ⅲ/Ⅳ versus Rician[J].IEEE Transactions on Aerospace and Electronic Systems,2013,49(3):2058-2064.
    [6]
    黄培康,殷红成, 许小剑.雷达目标特征[M].北京:电子工业出版社,2010:112-117. HUANG P K,YIN H C,XU X J.Radar target characteristics[M].Beijing:Publishing House of Electronic Industry,2010:112-117(in Chinese).
    [7]
    XU X J, HUANG P K.A new RCS statistical model of radar targets[J].IEEE Transactions on Aerospace and Electronic Systems,1997,33(2):710-714.
    [8]
    史伟强,徐乐, 史小卫,等.基于完备对数正态分布模型的隐形飞行器动态RCS统计特性研究[J].电子与信息学报,2013,35(9):2121-2125. SHI W Q,XU L,SHI X W,et al.Dynamic RCS statistic characterization of stealth aircraft using complete lognormal distribution[J].Journal of Electronics ＆ Information Technology,2013,35(9):2121-2125(in Chinese).
    [9]
    陈世春,黄沛霖, 姬金祖.典型隐身飞机的 RCS 起伏统计特性研究[J].航空学报,2014,35(12):3304-3314. CHEN S C,HUANG P L,JI J Z.Research on radar cross section fluctuation characteristics of typical stealth aircrafts[J].Acta Aeronautica et Astronautica Sinica,2014,35(12):3304-3314(in Chinese).
    [10]
    PAOLO G, GEOF H G,BANI K M.Bayesian modeling using WinBUGS[M].Hoboken:John Wiley & Sons,Inc.,2009:25-30.
    [11]
    LI Y,SONG S B. Bayesian estimation of parameters for pearson III distribution[C]//IEEE International Symposium on Water Resource and Environmental Protection(ISWREP).Piscataway,NJ:IEEE Press,2011:630-632.
    [12]
    SHENG Z. The estimation of lower refractivity uncertainty from radar sea clutter using the Bayesian-MCMC method[J].Chinese Physics B,2013,22(2):029302.
    [13]
    GASEMYR J. The spectrum of the independent Metropolis-Hastings algorithm[J].Journal of Theoretical Probability,2006,19(1):152-165.
    [14]
    马洪斌,马岩, 杨春梅,等.基于Metropolis-Hastings算法的 α 稳定分布参数估计[J].电机与控制学报,2012,16(12):94-98. MA H B,MA Y,YANG C M,et al.Parameter estimation of α-stable distribution using Metropolis-Hastings algorithm[J].Electrical Machines and Control,2012,16(12):94-98(in Chinese).
    [15]
    陈平,徐若曦. Metropolis-Hastings自适应算法及其应用[J].系统工程理论与实践,2008,28(1):100-108. CHEN P,XU R X.Metropolis-Hastings adaptive algorithm and its application[J].Systems Engineering-Theory & Practice,2008,28(1):100-108(in Chinese).
    [16]
    盛峥,黄思训,曾国栋.利用Bayesian-MCMC方法从雷达回波反演海洋波导[J].物理学报,2009,58(6):4335-4341. SHENG Z,HUANG S X,ZENG G D.Ocean duct inversion from radar clutter using Bayesian-Markov chain Monte Carlo method[J].Acta Physica Sinica,2009,58(6):4335-4341(in Chinese).
    [17]
    白振东,刘虎, 武哲.低可探测机身参数化造型与优化[J].北京航空航天大学学报,2007,33(12):1391-1394. BAI Z D,LIU H,WU Z.Parametric modeling and optimization of low observability fuselage in aircraft conceptual design[J].Journal of Beijing University of Aeronautics and Astronautics,2007,33(12):1391-1394(in Chinese).
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