基于FPGA的粒子滤波跟踪应用的优化实现

NAECON 2014 - IEEE National Aerospace and Electronics Conference Pub Date : 2014-06-24 DOI:10.1109/NAECON.2014.7045808

Amin Jarrah, M. Jamali, Seyyed Soheil Sadat Hosseini

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引用次数: 11

摘要

粒子滤波已被证明是一种在非线性和非高斯环境下非常有效的目标识别方法。然而，粒子滤波的计算量很大。因此，利用并行和流水线方法在FPGA上实现粒子滤波，以减少计算量。我们优化的FPGA实现将速度提高了12倍。此外，随着粒子数量的增加，速度也会提高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimized FPGA based implementation of particle filter for tracking applications

Particle filter has been proven to be a very effective method for identifying targets in non-linear and non-Gaussian environment. However, particle filter is computationally intensive. So, particle filter has been implemented on FPGA by exploiting parallel and pipelining approaches to reduce the computational burden. Our optimized FPGA implementation improves up to twelve times speed up. Also more speed ups are achieved with increasing number of particles.

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NAECON 2014 - IEEE National Aerospace and Electronics Conference

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