短波段内多重信号分类算法的窄带假设分析

Analysis of the Narrow Band Precondition about MUSIC Algorithm in the Shortwave Band

摘要:

经典空间谱估计算法的两个适用假设是远场平面波和窄带信号。文章利用7单元均匀线列阵仿真分析了短波波段内多重信号分类(MUSIC)算法的窄带假设上限带宽。可以发现:对于短波信号,50 kHz的带宽所带来的测向误差不超过0.08°。这就意味着,对于短波通信信号的侦察测向完全可以采用经典空间谱估计算法,比如MUSIC算法,而不需要为窄带假设来付出代价,这便为设计高精度的短波通信实时测向系统提供了条件。

Abstract:

Two preconditions of the classic space spectrum estimation algorithms are planar waves in the far field and narrow band signals. In this paper, the narrow band precondition of MUSIC algorithm has been simulated and analyzed based on a uniform linear array possessing 7 sensors. It can be drawn that the direction finding error is less than 0.08°caused by the bandwidth as 50 kHz for the short wave signal. That is, the classic space spectrum estimation algorithms, i.e. MUSIC algorithm, can be used to find the direction of the communication signal in the shortwave band without additional computation load, which bases the design of a real-time direction finding system with high resolution.