摘要
机动检测算法是机动目标跟踪中重要环节,对机动目标跟踪的快速性具有重要影响。针对机动目标跟踪的典型检测器,采用卡尔曼滤波算法,基于新息残差向量来描述三种典型的机动检测器,通过蒙特卡洛仿真的方法,对每种检测器进行仿真计算,详细地分析每种检测器的特点和性能。仿真结果表明检测器B性能最稳定,结果最可靠,通过适当调整滤波中的状态误差方差Q,观测误差r,及滤波估计误差方差矩阵的初始值使得滤波器可以更准确地跟踪机动目标,具有一定的参考价值和指导性意义。
The algorithm of maneuvering detection is one of the important roles in the maneuvering target tracking, and has an important effect on the performance of the maneuvering target tracking. Based on Kalman filter remanent variables vectors, three typical maneuvering detection models are presented in the paper. These maneuvering detection models are computed through Monte Carlo simulation. The characters and performance of each maneuvering detection model are analyzed in detail. It is showed in the simulations that detectioner B has stable and good performance, and can make the filter track maneuvering target through adapting state error variance matrix Q and observig error variance matrix r.
出处
《计算机仿真》
CSCD
2007年第9期90-94,共5页
Computer Simulation
关键词
机动目标跟踪
机动检测
假设检验
Maneuvering target tracking
Maneuver detection
Hypothesis test
