一种基于差分进化机理的船舶方位估计方法
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摘要
针对船舶定位,提出一种基于差分进化机理的目标方位估计方法。首先,将多变异策略和优劣淘汰制引入到差分进化算法中;其次,用新的差分进化机理优化估计波达方位的似然目标函数,从而达到估计目标船舶方位的目的;最后,进行源信号服从正则分布、非正则分布和混合类型的仿真试验。试验结果表明:该方法不仅能有效估计目标船舶的波达方位,而且对噪声具有比其他传统方法更好的鲁棒性。
A target bearing estimation method based on the differential evolution mechanism is introduced for a ship to determine the position of a target.The multi-mutation strategy and discarding mechanism are integrated into the differential evolution algorithm.The maximum-likelihood estimation of the Direction Of Arrival(DOA) of target-ships is achieved with the improved differential evolution algorithm.Simulation results prove that the proposed method is of better robustness than the conventional methods.
A target bearing estimation method based on the differential evolution mechanism is introduced for a ship to determine the position of a target.The multi-mutation strategy and discarding mechanism are integrated into the differential evolution algorithm.The maximum-likelihood estimation of the Direction Of Arrival(DOA) of target-ships is achieved with the improved differential evolution algorithm.Simulation results prove that the proposed method is of better robustness than the conventional methods.
引文
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[2]ZHANG Y,NG B P.MUSIC-Like DOA Estimation Without Estimating the Number of Sources[J].IEEE Transcations on Signal Processing,2010,58(3):1668-1669.
[3]JENSEN J R,CHRISTENSEN M G,JENSEN S H.Nonlinear Least Squares Methods for Joint DOA and Pitch Estimation[J].IEEE Transactions on Audio,Speech,and Language Processing,2013,21(5):923-9333.
[4]STOICA P,GERSHMAN A B.Maximum-Likelihood DOA Eestimation by Data-Supported Grid Search[J].IEEE Signal Processing Letters,2009,6(10):273-275.
[5]VOLODYMYR V.Improved Beamspace ESPRIT-Based DOA Estimation Via Pseudo-Noise Resampling[C].EuMW&EuRAD,2012:238-241.
[6]VANTREES H L.Optimuum Array Processing PartⅣof Detection,Estimation and Modulation Theory[M].New York:John Wiley&Sons,2001:96-105.
[7]LI H L,ADALI T.A Class of Complex ICA Algorithms Based on the Kurtosis Cost Function[J].IEEE Transactions on Neural Networks,2008,19(3):408-419.
[8]STORN R,PRICE K.Differential Evolution-A Simple and Efficent Adaptive Scheme for Global Optimization Over Continuous Spaces[R].Berkeley:University of California,1996.
[9]WANG R J,ZHU Y.Nonlinear Dynamic System Identification Based on FLANN[J].Journal of Jimei University:Natural Science,2011,16(2):128-134.
[10]BABITA M,PANDA G.Development of Efficient Identification Scheme for Nonlinear Dynamic Systems Using Swarm Intelligence Technique[J].Expert System with Applications,2010,37(1):556-566.
[11]TOMAN M,STUMBERGER G,DOLINAR D.Parameter Identification of the Jiles-Atheton Hysteresis Model Using Differential Evolution[J].IEEE Transactions on Magnetics,2008,44(6):1098-1111.
[12]RAHNAMAYAN S,TIZHOOSH H R,SALAMA M A.Opposition-Based Differential Evolution[J].IEEE Transactions on Evolutionary Computation,2008,12(1):64-79.
[13]王荣杰.欠定盲源分离和自适应复数盲源分离算法的研究[D].广州:中山大学,2012.
[14]KENNEDY J,EBERHART R C.Particle Swarm Optimization[C].Proceedings of IEEE International Conference on Neural Networks,1995:1942-1948.
[15]LI M H,LU Y L.Accurate Direction-of-Arrival Estimation of Multiple Sources Using a Genetic Approach[J].Wireless Communcations and Mobile Computing,2005,5(3):343-353.