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| 基于量子遗传粒子滤波的WSN目标跟踪算法 | |
| 引用本文： | 杨小莹,张万礼,廖同庆. 基于量子遗传粒子滤波的WSN目标跟踪算法[J]. 电子测试, 2011, 0(7): 1-4,65 |
| 作者姓名： | 杨小莹 张万礼 廖同庆 |
| 作者单位： | 1. 宿州学院,宿州,234000;桂林电子科技大学,桂林,541004 2. 宿州学院,宿州,234000 3. 桂林电子科技大学,桂林,541004 |
| 基金项目： | 安徽省教育厅自然科学研究重点项目(KJ2009A156); 安徽省高校优秀青年人才基金重点项目(2010SQRL022ZD) |
| 摘 要： | 粒子滤波器是解决非线性非高斯运动跟踪的一种有效方法,很适合于无线传感器网络的目标跟踪.但是粒子滤波算法存在严重的退化现象.常规的重采样方法虽可解决退化问题,但容易导致粒子耗尽.本文针对此问题,将量子遗传算法引入粒子滤波,提出了基于量子遗传粒子滤波的无线传感器网络目标跟踪算法.通过量子遗传算法的编码方式增加粒子集的多样性... |
| 关 键 词： | 无线传感器网络 目标跟踪 粒子滤波 量子遗传算法 |
Tracking algorithms based on quantum genetic particle filter for WSN |
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| Yang Xiaoying,Zhang Wanli,Liao Tongqing. Tracking algorithms based on quantum genetic particle filter for WSN[J]. Electronic Test, 2011, 0(7): 1-4,65 | |
| Authors: | Yang Xiaoying Zhang Wanli Liao Tongqing |
| Affiliation: | Yang Xiaoying1,2,Zhang Wanli1,Liao Tongqing3 (1 Suzhou University,Suzhou 234000,China,2 Guilin University of Electronic Technology,Guilin 541004,3 Ministry of Educational Key Laboratory of Intelligent Computing & Signal Processing Anhui Univ.,Heifei 230039,China) |
| Abstract: | Particle filter is an effective way to solve the problem like tracking objects with Non-Gaussian and Non-linear movement. It is well suited to target tracking in wireless sensor networks, but degeneracy phenomenon is serious. Common re-sampling method can resolve degeneracy phenomenon, but the sample impoverishment is a secondary result. Therefore, tracking algorithms based on quantum genetic particle filter for wireless sensor networks is proposed, in which quantum genetic algorithm is introduced. The dive... |
| Keywords: | Wireless sensor networks Target tracking Particle filter Quantum genetic algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |