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一种求解目标运动轨迹的距离对齐方法

Method to Distance Alignment by Solving Target’s Trajectory
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摘要 当运动目标转动角度较小时,逆合成孔径雷达(ISAR)成像的平动补偿可以分为距离对齐和多普勒相位补偿两个部分,提出了一种通过粒子群算法(PSO)求解多项式系数来拟合目标的运动轨迹,从而实现目标回波的距离对齐的方法。 When the target rotates at a small angle,the motion compensation of Inverse Synthetic Aperture Radar(ISAR)imaging includes distance alignment and doppler compensation.An algorithm of distance alignment by using Particle Swarm Optimization(PSO)is proposed solves polynomials to fit the target’s trajectory.
作者 张超杰 李刚 ZHANG Chaojie;LI Gang
出处 《现代导航》 2023年第3期229-234,共6页 Modern Navigation
关键词 逆合成孔径雷达成像 多项式 粒子群算法 距离对齐 Inverse Synthetic Aperture Radar Image Polynomials Particle Swarm Optimization Distance Alignment
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  • 1J Kennedy,R C Eberhart. Particle swarm optimization[A].in: Proceedings of the IEEE International Joint Conference on Neural Networks [ C ]. Piscataway, NJ: IEEE Service Center, IEEE Press, 1995. 1942 - 1948. 被引量:1
  • 2Qingyun Yang,Jigui sun, Juyang Zhang, Chunjie Wang.A hybrid discrete particle swarm algorithm for open-shop problems [A]. Proceedings of the 6th International Conference on Simulated Evolution And Learning (SEAL 2006) [ C]. Hefei, China, LNCS 4247,2006. 158 - 165. 被引量:1
  • 3K Rameshkumar, R K Suresh, K M Mohanasundaram. Discrete particle swarm optimization (DPSO) algorithm for permutation flowshop scheduling to minimize makspan[ A ]. In: Proc. ICNC 2005 [C]. Changsha, China, LNCS 3612,2005.572 - 581. 被引量:1
  • 4Pant,M Radha, T Singh, V P.A simple diversity guided particle swarm optimization [A]. IEEE Congress on Evolutionary Computation[C]. Singapore, CEC2007. 2007. 3294 - 3299. 被引量:1
  • 5Christopher K. Monson, Kevin D. Seppi, Adaptive Diversity in PSO[ A]. Proceedings of the 8th annual conference on Genetic and evolutionary computation Seattle [ C ]. Washington, USA, 2006.59 - 66. 被引量:1
  • 6M Clerc: Discrete particle swarm optimization, illustrated by the Traveling Salesman Problem[A ]. In: New Optimization Techniques in Engineering[ C ]. Heidelberg, Germany, 2004. 219 - 239. 被引量:1
  • 7A C. Nearchou, The effect of various operators on the genetic search for large scheduling problems[J]. Int. J. Product. E-conom. 2004,88( 1 ) : 191 - 203. 被引量:1
  • 8Zhigang Lian, Xingsheng Gu and Bin Jiao, A similar particle swarm optimization algorithm for permutation flowshop scheduling to minimize makespan[J]. Applied Mathematics and Computation, 2006,175( 1 ) : 773 - 785. 被引量:1
  • 9A Chatterjee, P Siarry. Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization[ J]. Computers & Operations Research, 2006,33 ( 3 ) : 859 - 871. 被引量:1
  • 10G. Reinelt, TSPLIB [ OL ] http://www. iwr. uni-heidelberg. de/groups/comopt/software/TSPLIB95/, 2007-09-10. 被引量:1

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