期刊文献+

粒子滤波算法的FPGA设计与实现

Design and implementation of the particle filter algorithm with FPGA
在线阅读 下载PDF
导出
摘要 粒子滤波在非线性和非高斯的场合有着广泛的应用,但由于其计算量大、运算速度慢等原因限制了粒子滤波在实时性系统中的应用.本文以FPGA为核心实现粒子滤波算法,采用模块化功能设计,在运用中简化了粒子滤波算法,提高了运算速度,以被动定位系统中目标跟踪为例进行仿真,验证了该方案的有效性.实验结果表明:该方案具有速度快、占用资源少的特点. Particle filter has wide applications in a non - linear, non - Gaussian occasions, but the amount of computation and computing speed limits its application in real - time systems. In this paper, using the FPGA to design algorithms function modules, the complexity of the particle filter algorithm was reduced and the computing speed was improved. Taking the passive positioning system target tracking as an example, the effectiveness of the design was verfied. Experiments show that the program has advantages of fast speed and using less source.
机构地区 常熟理工学院
出处 《重庆文理学院学报(社会科学版)》 2014年第2期104-107,共4页 Journal of Chongqing University of Arts and Sciences(Social Sciences Edition)
基金 国家自然科学基金资助项目(61273312) 常熟理工学院青年教师科研启动项目(QZ1101)
关键词 粒子滤波 FPGA 目标跟踪 particle filter FPGA target tracking
  • 相关文献

参考文献6

二级参考文献46

  • 1Song T L and Speyer J L. A stochastic analysis of a modified gain extended Kalman filter with application to estimation with bearings-only measurements. IEEE Trans. on Automatic Control, 1985, AC-30(10): 940-949.
  • 2Ristic B, Arulampalam S, and Gordon N. Beyond the Kalman Filter: Particle Filters for Tracking Applications. Boston, London: Artech House, 2004, Chapter 5-12.
  • 3Doucet A, de Freitas N, and Gordon N (Eds.). Sequential Monte Carlo Methods in Practice. New York: Springer, 2001, Chapter 15-26.
  • 4Doucet A and Wang X D. Monte Carlo methods for signal processing: A review in the statistical signal processing context. IEEE Signal Processing Magazine, 2005, 22(6): 152-170.
  • 5Gordon N, Salmond D, and Smith A. Novel approach to nonlinear/non-Gaussian Bayesian state estimation, lEE Proceedings on Radar and Signal Processing, 1993, 140(2): 107-113.
  • 6Zhai Y and Yeary M. A new particle filter tracking algorithm for DOA sensor system. Proc. of Instrumentation and Measurement Technology, Warsaw, 2007: 1-4.
  • 7Bolic M, Athalye A, and Djuric P M, et al. Algorithmic modification of particle filters for hardware implementation. Proc. of the European Signal Processing. Conference, Vienna,Austria, 2004: 1641-1646.
  • 8Bolic M, Djuric P M, and Hong S. Resampling algorithms for particle filters: A computational complexity perspective. EURASIP Journal of Applied Signal Processing: 2004, (15): 2267-2277.
  • 9Athalye A, Bolic M, and Hong S, et al Generic hardware architectures for sampling and resampling in particle filters. EURASIP Journal of Applied Signal Processing, 2005, (17): 2888-2902.
  • 10[1]Dikic G,Kovacevic B. Target tracking with passive IR sensors. Telecommunications in Modern Satellite ,Cable and Broadcasting Service, 2001.

共引文献58

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部