改进的单站无源定位方法

Improved method of single observer passive localization

单站无源定位与跟踪(SOPLAT)技术逐渐成为定位跟踪领域的研究重点。在分析了各个观测量所包含的目标的运动信息的基础上,给出了一种结合角度变化率、相位差变化率、多普勒频率和多普勒频率变化率的单站无源定位方法。计算机仿真表明,该方法比目前已存在的定位算法具有更高的定位精度。

Single Observer Passive Localization and Tracking （SOPLAT） technology becomes more and more popular in target localization field. Based on the analysis of the motion information of the target contained in the observables, a method of single observer passive localization combined with angle change rate, phase difference change rate, Doppler frequency and Doppler frequency change rate was given. The computer simulation shows that, the improved method can get better localization accuracy than the existing localization algorithms.