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Abstract:
在实际的目标跟踪场景中,普遍存在非高斯过程噪声和/或量测噪声,以及非高斯先验信息等情况,针对这一问题,提出一种新的解决非线性/非高斯系统滤波问题的非线性滤波算法,即高斯和求积分卡尔曼滤波(GSQKF)算法.仿真实验将新算法与标准的粒子滤波算法进行了比较,表明新算法是一种非常有效的非线性滤波算法.
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计算机工程与应用
ISSN: 1002-8331
Year: 2011
Issue: 7
Page: 1-3,15
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 2
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