射电天文研究组知识库

无线电信号在传播过程中容易受到多径效应和其他电磁场干扰,严重影响了无线电源的监测和定位。为了降低无线电干扰,提高对无线电发射源的定位精度,提出了一种基于经验模态分解和奇异值分解的信息过滤算法以提取无线电信号主分量、去除无线电信号的干扰。通过实测数据测试,相比直接使用TDOA定位算法,使用该信息过滤算法对无线电信号进行预处理之后,定位精度由约100m提高到十余米,有效提高了定位精度和系统的监测能力。

The multipath effect and other electromagnetic interference do big harm at radio location and monitoring during the radio transmitter. In this paper, a new algorithm, which is using empirical mode decomposition and singular value decomposition, has been proposed to de-noise and improve the positioning accuracy for radio signal. Experimetn data has been conduct and the test result shows; our algorithm can improve position accuracy and system monitoring capability effectively, position accuracy is improved from nearly one hundred meters up to less than twenty meters.