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多源测距下联合目标定位与传感器配准

Joint Target Localization and Sensor Registration under Multi⁃source Range Measurements
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摘要 针对多传感器跟踪系统中多源测距下常规传感器配准方法无法形成等效量测的问题,设计了一种联合目标定位与传感器配准方法。利用量测噪声构造似然函数,联合交互式多模型方法估计目标位置,通过对似然函数极大化,实现了多源测距传感器系统偏差估计和目标定位。仿真结果表明,该方法具有快速收敛性和较高估计精度,可有效解决多源测距下传感器配准和目标定位问题。 Aimed at the problem about unable to form equivalent measurement with the conventional sensor registration method under multi-source range measurements in multi-sensor tracking systems,a joint target localization and sensor registration method is designed.The likelihood function is constructed with the measurement noise,and the target location is estimated jointed with the interactive multiple model method.By maximizing the likelihood function,the biases estimation and the target localization in the multi-source range measurement sensor system are realized.Simulation results show that the method has fast convergence and high estimation accuracy.It can efficiently solve the problem of the sensor registration and the target localization under multi-source range measurements.
作者 周学平 张亚 赵晓莲 ZHOU Xueping;ZHANG Ya;ZHAO Xiaolian(The 28th Research Institute of China Electronics Technology Group Corporation,Nanjing 210007,China)
出处 《指挥信息系统与技术》 2021年第2期70-74,共5页 Command Information System and Technology
基金 国家自然科学基金(61971179)资助项目。
关键词 极大似然 目标定位 传感器配准 交互式多模型 maximum likelihood target localization sensor registration interactive multiple model
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