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AnalysisandRealizationoftheParallelGPF
- 本文档的标题是并行高斯粒子滤波器结构分析和实现。本文针对粒子滤波器计算量大、实时性差的问题分析了高斯粒子滤波的并行结构,并以一个简单实例为背景介绍了高斯粒子滤波器在集群计算机上的应用实现。是一篇很好的论文-This document is entitled Parallel Gaussian particle filter and the realization of structural analysis. In this paper
Improved_partilce_filter
- 采用误差校正算法改进的粒子滤波器，主要解决粒子滤波局部滤波发散的问题-The use of error correction algorithms to improve the particle filter, the main particle filter to solve the problem of local filtering divergence
icassp061
- 指出了粒子滤波在多维估计中的应用以及相关一些关键结技术，有参考价值。-Pointed out that the particle filter in the multi-dimensional estimation of some of the key node and related technology, a valuable reference.
FDIbasedonSIRlikelihood
- 基于粒子滤波的故障检测,使用似然函数作为检测函数-Particle filter-based fault detection, the use of likelihood function as a detection function
Particle1
- 粒子滤波用于传感器目标跟踪，将观测值滤波估计出当前目标的位置-Particle filter for target tracking sensor to filter observations to estimate the location of the current target
pf
- 粒子滤波算法仿真，能够运行出图形。希望对大家有帮助-Particle filter algorithm simulation, able to run out of graphics. We want to help
ADPF
- 基于统计决策规则提出自适应采样数粒子滤波算法, 在定义综合性能风险函数的基础, 推导出粒子数与滤波误差方差之间的关系式, 使得在跟踪过程中, 可以根据目标的机动情况在线调节粒子数, 以使跟踪性能 达到最优。在Matlab仿真平台下进行了闪烁噪声下的机动目标跟踪实验, 结果表明, 自适应采样数粒子滤波算法是一种有效的机动目标跟踪方法, 跟踪性能较基本粒子滤波算法提高了3.17倍。-Based on statistical decisi