Improved FPGA implementation of particle filter for radar tracking applications

Author

Ye, Binli ; Zhang, Yunhua

Author_Institution

Center for Sapce Sci. & Appl. Res., Chinese Acad. of Sci., Beijing, China

fYear

2009

fDate

26-30 Oct. 2009

Firstpage

943

Lastpage

946

Abstract

Particle filter has been considered as great advancement for radar tracking in nonlinear and non-Gaussian 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.

Keywords

field programmable gate arrays; particle filtering (numerical methods); radar signal processing; radar tracking; FPGA implementation; UART; Xilinx VIRTEX-5 platform; bearings-only tracking system; nonGaussian scenario; nonlinear scenario; radar tracking applications; real-time systems; sampling importance resampling particle filter; Computer architecture; Data mining; Field programmable gate arrays; Hardware; Particle filters; Particle tracking; Radar tracking; Real time systems; Sampling methods; Target tracking; Bearings-only; FPGA; SIRF; UART; VIRTEX-5;

fLanguage

English

Publisher

ieee

Conference_Titel

Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on

Conference_Location

Xian, Shanxi

Print_ISBN

978-1-4244-2731-4

Electronic_ISBN

978-1-4244-2732-1

Type

conf

DOI

10.1109/APSAR.2009.5374309

Filename

5374309