距离信息对DDFRC算法定位误差的影响与分析

在固定单站无源定位算法中,基于角度(Direct of Arrival)、角度变化率(Direct of Arrival Rate-of-Change)、多普勒频率(Doppler Frequency)和多普勒频率变化率(Doppler Frequency Rate-of-Change)4个观测信息实现定位(即DDFRC定位)算法仅通过单次观测即可实现对目标辐射源的定位。文中通过转移观测的卡尔曼滤波对定位结果进行平滑,较原有算法拥有更好的跟踪效果。同时,对定位误差进行了定量分析,并将距离信息引入算法的仿真分析之中,详细讨论了各个观测量误差在不同距离时对算法定位性能的影响,根据仿真结果,结合定位误差的定量分析对算法性能做出评价。通过仿真分析,得到了定位算法对不同距离下各参数的精度要求,从而为在实际系统中使用该定位算法提供了参考。

Influence and Analysis of DDFRC Algorithm Location Error in Distance Information

DDFRC location method can achieve real-time positioning of the target by a single observation, in the fixed sin.gle station passive location system. In this paper, the observation of the Kalman filter was transfered through to smooth thepositioning result, and a better result was obtained than the original algorithm. The positioning error was analyzed in quan.titatively. The distance information was introduced to the simulation and analysis of algorithm. And the error terms werediscussed in detail in different distance affect the performance of positioning. According to the simulation results, com.bined with the quantitative analysis of position error, the algorithm performance was evaluated. Through the simulationanalysis, the accuracy requirement of each parameter is obtained under different distance, so that it provided a usefulguide in using the localization algorithm in the actual system.