Frequency diverse array(FDA)radar applies a tiny frequency offset across its adjacent transmitting array elements to generate a range-angle-dependent beampattern.The increased degrees-of-freedom(DOFs)in range domain can help improve the performance of radar in target detection,localization,and clutter suppression.Passive radar utilizes uncontrollable external signal as illuminator,which makes it difficult to apply traditional frequency diverse process method.However,the third-party illuminator such as Orthogonal Frequency Division Multiplexing(OFDM)signal usually consists of several closely spaced modulated carriers,and it has been widely selected as the illuminator for passive radar in recent years.Considering the orthogonality between even separated subcarriers,we propose a new frequency diverse process method by extracting and processing each subcarrier of received data independently and attempt to provide a range-angle dependent beampattern for OFDM passive radar.Numerical results and real data analyses verify the superiority of frequency diversity process on the received data of OFDM passive radar.
随着外辐射源雷达技术的快速发展和逐步应用,干扰问题日渐受到关注。本文以对OFDM外辐射源雷达工作性能带来极大影响的线性调频(Linear Frequency Modulation,LFM)干扰为研究对象,根据线性调频干扰信号模型,从理论上分析了多周期线性调频干扰对OFDM外辐射源雷达的干扰形态和特性,并推导了干扰带宽与相关时延宽度的关系,进而提出了一种自适应多周期线性调频干扰抑制方法。所提干扰抑制方法首先在频域进行干扰检测并估计线性调频干扰带宽,然后根据干扰带宽在距离多普勒谱上选取慢时间维序列构造干扰子空间,最后通过干扰子空间正交投影实现对多周期线性调频干扰的抑制。在不同干扰强度、干扰带宽以及线性调频周期条件下,以基底改善因子作为评估指标,仿真验证了所提方法的有效性和鲁棒性。