Improved FPGA Implementation of Particle Filter for Radar Tracking Applications

摘要：

Particle filter has been considered as great advancement for radar tracking in nonlinear and nonGaussian scenarios.But the huge computation and complexity limited its application in real-time systems.In this paper,we improve the architectures of sampling importance resampling particle filter (SIRF) in FPGA on the Xilinx VIRTEX-5 platform and then apply it to the bearings-only tracking system.Not only the whole design is simulated by the Modelsim,but also is realized in hardware,where the data are transferred using UART. The improved architectures could provide a fine real -time characteristic in radar tracking system.

关键词： SIRF FPGA UART VlRTEX-5 Bearings-onIy

作者: Binli Ye Yunhua Zhang

作者单位: Center for Sapce Science and Applied Research,Chinese Acadady of Sciences,Beijing China Graduate Uni Center for Sapce Science and Applied Research,Chinese Acadady of Sciences,Beijing China

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 943-946

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）