基于频谱监测数据的联合时差定位方法

在分析电磁频谱监测网辐射源定位需求和现有时差定位算法特点的基础上,介绍了联合时差定位流程。对Chan算法定位、Chan算法与Taylo级数展开相结合的联合定位及粒子滤波对定位的改善情况进行了分析和仿真,并对仿真结果进行了比较。提出了一种基于频谱监测数据、采用Chan-Taylor算法和粒子滤波的联合定位方法,可有效利用电磁频谱监测网络各节点的监测定位数据,提高对目标信号的定位精度。

Joint TDOA Location Method Based on Spectrum Monitoring Data

Based on the analysis on the position of Electromagnetic Spectrum monitoring net emission source and the characteristics of TDOA,the flow of Joint TDOA location is introduced. The Chan algorithm,the joint Chan-Taylor algorithm and the improvement on location by particle filter are analyzed and simulated. After comparing the results of simulation,a joint location method based on spectrum monitoring data,combining Chan-Taylor algorithm and particle filtering,is put forward. This joint location method can utilize effectively monitoring data from nodes in electromagnetic spectrum net,improving the location precision against target signals.