摘要
在实际卫星测控信号侦察中,混合副载波信号分离比较困难,且耗时较长。为此,提出一种基于小波变换和最大信噪比的副载波盲分离算法。先利用小波阈值算法对混合带噪信号进行消噪处理,然后采用基于最大信噪比的盲分离算法对消噪后的信号实施分离,最后得到测控副载波信号的估计。MATALAB仿真结果表明,该算法计算复杂度低,耗时短,能够较好地分离测控副载波信号。
It is difficult and time-consuming to separate mixed satellite telemetry, track and control （TT＆C） subcarrier signals in actual military satellite TT＆C information scout. A blind subcarrier signals separation algorithm based on wavelet transform and maximum signal noise ratioin is presented. Firstly, the noisy mixed subcarrier signals are denoised by wavelet threshold algorithm. Secondly,the mixed subcarrier signals are separated by maximum signal noise ratio algorithm,and the estimated satellite TT＆C subcarrier signals are obtained. Simulation results in Matalab show that this algorithm is of low computational complexity, and better performance and efficiency in the mixed satellite TT＆C subcarrier signals separation.
出处
《航天电子对抗》
2011年第3期13-16,42,共5页
Aerospace Electronic Warfare
关键词
卫星测控
小波阈值消噪
最大信噪比
盲源分离
satellite TT＆C
wavelet threshold denoising
maximum signal noise ratio
blind source separation
