"奇异值优化分割消除射频干扰的方法及其仿真实验分析"

基于奇异值优化分割的射频干扰消除方法.docx 是一项针对消除射频（RFI）干扰并减少天文信号损失的研究。该方法首先对射电观测信号进行子带分解，构造观测信号矩阵；然后对矩阵进行奇异值分解（SVD），寻找干扰信号对应的奇异值，并根据输出信噪比最大的原则对该奇异值进行优化分割，得到最优分割比和优化后的奇异值分量；最后去除 RFI 信号。通过仿真实验，该方法在不同时间段的射电观测信号中展现出了通用性，利用最优分割比进行 RFI 信号抑制后的输出信噪比增益明显，可达到 1.2~1.4，能够有效抑制 RFI 信号，减少天文信号损失，并获得最大输出信噪比。这一方法为消除射频干扰提供了新的思路。 AbstractIn order to eliminate radio frequency interference （RFI） and reduce the loss of astronomical signal， a radio frequency interference elimination method based on singular value optimization is proposed in the document. This method firstly decomposes the radio observation signal into sub-bands to construct the observation signal matrix; then performs singular value decomposition (SVD) on the matrix to identify the singular values corresponding to the interference signals, and optimally segments the singular value based on the principle of maximum output signal-to-noise ratio to obtain the optimal segmentation ratio and the optimized singular value components; finally removes the RFI signals. Simulation results show that the method exhibits generality for radio observation signals from different time periods, and using the optimal segmentation ratio for RFI signal suppression leads to a significant gain in output signal-to-noise ratio, reaching 1.2~1.4, effectively suppressing RFI signals, reducing the loss of astronomical signals, and achieving the maximum output signal-to-noise ratio. This method provides a new approach for eliminating radio frequency interference.