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TDOA/FDOA geolocation in space radio monitoring using RLMS and gating

机译:使用RLMS和门控在空间无线电监控中的TDOA / FDOA地理位置

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In this paper, we consider the problem of improving the accuracy of time difference of arrival (TDOA) and frequency difference of arrival (FDOA)-based geolocation for unknown emitters. Our approach integrates multiple geolocation results by using a recursive least mean square (RLMS) algorithm and removing outliers. Simulation results show that the proposed method improves geolocation accuracy and that gating effectively removes the outliers. For instance, if two out of 20 measurements are outliers, then the root mean square error (RMSE) of the proposed method has been reduced by 74.31% (12.84 km) compared with conventional methods.
机译:在本文中,我们考虑了提高未知发射器的基于到达时间差(TDOA)和基于到达频率差(FDOA)的地理位置的准确性的问题。我们的方法通过使用递归最小均方(RLMS)算法并去除离群值来整合多个地理位置结果。仿真结果表明,该方法提高了定位精度,选通有效地消除了异常值。例如,如果20个测量中有2个是离群值,则与传统方法相比,该方法的均方根误差(RMSE)已降低74.31%(12.84 km)。

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