卫星干扰定位中基于VMD-WTD的TDOA参数估计

Shibing Zhu, Haifeng Shuai, Changqing Li, Rui Liu
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引用次数: 0

摘要

卫星干扰源定位系统是卫星通信抗干扰的重要手段之一。高精度卫星干扰源定位技术可以准确锁定干扰源的位置,并采取措施消除干扰。到达时差分(TDOA)参数估计是卫星干扰源定位系统的关键环节,TDOA参数估计的准确性直接影响到定位精度。提出了一种结合变分模型分解(VMD)和小波阈值去噪(WTD)的TDOA参数估计算法。首先,通过VMD算法将信号自适应分解为多个分量,保证在去噪过程中保持原始信号,然后采用改进的WTD算法去除卫星接收信号中噪声的影响。最后得到准确的TDOA参数。数值仿真结果表明,改进算法的精度优于传统方法,从而间接提高了卫星干扰源定位的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TDOA Parameter Estimation based on VMD-WTD in Satellite Interference Location
Satellite interference source location system is one of the important means of satellite communication anti-interference. High-precision satellite interference source positioning technology can accurately lock the location of the interference source and take measures to remove the interference. Time difference of arrival (TDOA) parameter estimation is a key link in the satellite interference source location system, and the accuracy of TDOA parameter estimation directly affects the location accuracy. This paper proposes a new TDOA parameter estimation algorithm that combines variational model decomposition (VMD) and wavelet threshold denoising (WTD). Firstly, the signal is adaptively decomposed into multiple components through the VMD algorithm to ensure the preservation of the original signal during the denoising process, then an improved WTD algorithm is used to remove the influence of noise in the satellite reception signal. Finally, accurate TDOA parameters are obtained. Numerical simulations show that the accuracy of the improved algorithm are better than conventional methods, thereby indirectly improving the accuracy of satellite interference source location.
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