舰船短波信号快速测向技术研究及仿真

The Research and Simulation of Fast Direction-finding Technology for Ship High Frequency Signal

针对舰船短波信号测向处理的工作效率提升需求,提出了一种基于快速卷积理论的空间谱算法和基于引导基线的相关干涉仪测向算法。对基于快速卷积理论的空间谱算法、相关干涉仪测向算法、单信道瓦特森-瓦特测向算法的原理进行了简要介绍,对3种算法的性能进行仿真和比较。仿真结果表明,相比于傅里叶域的多重空间分类算法(FD-MUSIC)和流形分离多重空间分类算法(MS-MUSIC),基于快速卷积理论的空间谱算法在计算复杂度要更有优势。而基于基线引导的相关干涉仪算法的测向时效性表现最好,占有较大的优势,更利于宽带信道化的测向处理。提出的算法可以满足小型化设备的性能设计要求,为舰船短波信号快速测向技术的改进提供了一些参考。

Aiming at the demand of improving the efficiency of ship high frequency signal direction-finding processing,a spatial spectrum algorithm based on fast convolution theory and a correlation interferometer direction-finding algorithm based on guided baseline are proposed.The principles of spatial spectrum algorithm based on fast convolution theory,correlation interferometer direction-finding algorithm,and single-channel Watson-watt direction-finding algorithm are briefly introduced.Then,the performance of the three algorithms is simulated and compared.Compared to the Fourier domain multiple space classification algorithm(FD-MUSIC)and manifold separation multiple space classification algorithm(MS-MUSIC),the simulation results show that the space spectrum algorithm based on fast convolution theory has more advantages in computational complexity.The correlation interferometer algorithm based on baseline guidance has the best performance and great advantage in the direction-finding timeliness,and is more conducive to broadband channelized direction-finding processing.The proposed algorithm can meet the performance design requirements of miniaturized equipment,and provides some reference for the improvement of fast direction-finding technology of ship high frequency signal.