摘要
针对基于序列重采样(SIR)粒子滤波的检测前跟踪(TBD)算法的不足,提出了重采样平滑(RS)算法以及简化的RS算法,并将其应用于常规雷达的TBD算法,得到基于序列重要性重采样平滑(SIRS)的TBD(SIRS-TBD)算法.仿真结果表明,RS算法可以有效地提高粒子的多样性,在雷达上应用SIRS-TBD算法可以实现对低可探测目标的检测和跟踪。
Aimed at the drawbacks of the track-before-detection （TBD） algorithm based on sequential importance resampling （SIR）, the track-before-detection （TBD） resampling smoothing （RS） algorithm and its simplified RS algorithm were proposed. By applying RS to SIR-TBD, SIRS-TBD was obtained. Simulations show that RS algorithm effectively increases particle diversity, and the detection and track of low detectable targets can be implemented by using the SIRS-TBD algorithm
出处
《空军雷达学院学报》
2008年第1期25-28,共4页
Journal of Air Force Radar Academy
关键词
检测前跟踪
粒子滤波
重采样平滑
track-before-detection
particle filter
resampling smoothing
