基于加权模值的FDA最优频率间隔选取方法

FDA Optimal Frequency Increment Selection Method Based on Weighted Modules

传统频率分集阵列(FDA)在阵元间引入的是固定的频率间隔,并不能使FDA在不同环境下都具有最优的抗干扰性能。文中提出了一种基于加权模值的自适应选取FDA最优频率间隔方法,通过对FDA最优波束形成器的输出信干噪比(SINR)的分析,推导出输出SINR与频率间隔潜在的关系,自适应选取阵列加权最小模值对应的频率间隔,形成单峰值波束方向图,并反馈给发射机,使得输出SINR最大化。理论和仿真结果均证明了FDA通过该方法选取到最优频率间隔后,具有更好的抗主、副瓣干扰性能。

The traditional frequency diverse array( FDA) introduces a fixed frequency increment between adjacent array elements,which does not make the FDA have the best anti-jamming performance in different environments. In this paper,a method of adaptive selection of FDA optimal frequency increment based on weighted modulus is proposed. By analyzing the output signal-to-interference-plus-noise ratio( SINR) of FDA optimal beamformer,the potential relationship between output SINR and frequency increment can be obtained. Then a single-peak beam pattern can be formed by adaptively selecting the frequency increment corresponding to the minimum weighted value of the array. It is fed back to the transmitter so as to maximize the output SINR. Both theoretical and simulation results show that the FDA has a better performance of mainlobe jamming and sidelobe jamming suppressing after selecting the optimal frequency increment by this method.