一种新的雷达信号分离技术研究

A New Research of Radar Signal Sorting Techniques

针对目前传统分选方法无法适应密集、复杂、多变的现代雷达对抗信号环境,提出将雷达信号分选工作搬移到中频段进行、基于快速独立分量分析的雷达信号分选算法,讨论了采样时间的选取对迭代次数、相似系数的影响,验证了算法分离微弱信号的有效性和可行性。同时,强调了基于该法的信号分选可以与信号识别的硬件模块在中频段实现合并化。仿真实验表明,该技术可以很好地分离各种不同调制方式下的脉冲雷达信号以及连续波雷达信号,对传统分选方法难以应付的PRI随机的雷达信号也十分有效。

A new technology of radar signals sorting, based on the fast independent component analysis （Fast ICA） and carried out at intermediate frequency（IF）, has been proposed in this paper, in order to overcome the shortage in the traditional sorting method which fails to adapt to the dense, complicated and changefully modern radar countermeasure signal environments. It discusses the influence of the sampling time choice to iterative number and the similar coefficients, certifies the effectiveness and feasibility of this new technology for separating the weak signals. Meanwhile, signals sorting, together with signals identification, can be implemented on a single hardware module at IF has been emphasized. Simulation results show that the sorting technology can be used to separate various kinds of radar pulse signals in different modulations and CW radar signals, especially to the stochastic PRI radar signals to which the traditional sorting method is difficult to apply.