摘要
检测前跟踪技术是低信噪比环境下目标检测与跟踪的有效方法。该文针对目标作复杂运动的情况,提出了机动弱目标检测前跟踪的多模粒子滤波算法。该算法在目标状态矢量中增加了表示目标存在与否以及目标运动模型的变量,采用粒子滤波实现了包含两个离散变量的混合滤波过程。仿真试验表明,该算法在经典跟踪方法难以发挥作用的低信噪比条件下,能够有效实现机动目标的检测与跟踪。
Track-Before-Detect（TBD） is an efficient approach which detects and tracks targets in low SNR environment. A multiple model particle filter algorithm is presented in this paper for the maneuvering weak target which dynamics is complicated. In this algorithm a variable which denotes whether the target is existent or not and a variable which denotes the dynamics model of the target are augmented. The hybrid filter which includes two discrete variables is implemented by particle filter. Simulation results show that this algorithm can efficiently detect and track maneuvering targets on the condition of low SNR which the classical tracking methods can not work normally.
出处
《电子与信息学报》
EI
CSCD
北大核心
2008年第4期941-944,共4页
Journal of Electronics & Information Technology
关键词
检测前跟踪
多模
粒子滤波
弱目标
Track-Before-Detect （TBD）
Multiple model
Particle filter
Weak target
