与基于全阵列的自适应波束形成算法相比,旁瓣对消(multiple side lobe canceller,MSLC)技术具有计算量小、性能稳健的优点。一般旁瓣对消系统要求在进行权值调整时,主瓣方向无信号入射,否则系统方向图将发生畸变。提出了基于子阵列数据...与基于全阵列的自适应波束形成算法相比,旁瓣对消(multiple side lobe canceller,MSLC)技术具有计算量小、性能稳健的优点。一般旁瓣对消系统要求在进行权值调整时,主瓣方向无信号入射,否则系统方向图将发生畸变。提出了基于子阵列数据差分的旁瓣对消系统设计思路,即利用线性阵列性质来改变主辅天线信号相关性,消除主瓣入射信号影响。在此基础上,针对干扰情况的不同,提出了更实用的多级差分旁瓣对消和反馈差分旁瓣对消技术。仿真结果表明,所提算法在不同信号环境下,均能有效抑制旁瓣干扰,同时保持主瓣方向图不发生畸变,具有很好的稳健性。展开更多
When the power of the mainlobe interference received by the receiver is at the same level as the power of the sidelobe interference power,the traditional eigen-projection interference suppression method has the proble...When the power of the mainlobe interference received by the receiver is at the same level as the power of the sidelobe interference power,the traditional eigen-projection interference suppression method has the problems of severe beam deformation and peak shift.Aiming at these problems,a beam pattern optimization method(BPOM)was proposed,which can suppress the interference well even when the mainlobe interference power is approximately equal to the sidelobe interference power.In the method,the mainlobe interference eigenvectors are firstly determined according to the correlation criterion.Then through the eigenvalue comparison,the sidelobe interference eigenvectors whose eigenvalues are approximately equal to the mainlobe interference eigenvalues are judged.After that,a projection matrix is constructed to filter out the mainlobe and sidelobe interference.Finally,the covariance matrix is reconstructed and the weight vector for beamforming is obtained.Simulation shows that BPOM has a better output performance than the existing algorithms in case that the power of the mainlobe interference is close to that of the sidelobe interference.展开更多
单脉冲雷达往往工作在复杂的电磁环境下。为了解决强干扰信号,尤其是主瓣干扰信号造成的单脉冲角度估计不准确问题,提出了一种新的自适应单脉冲角度跟踪算法。该算法首先利用接收到的阵列数据,利用多级维纳滤波器(Multistage Wiener fil...单脉冲雷达往往工作在复杂的电磁环境下。为了解决强干扰信号,尤其是主瓣干扰信号造成的单脉冲角度估计不准确问题,提出了一种新的自适应单脉冲角度跟踪算法。该算法首先利用接收到的阵列数据,利用多级维纳滤波器(Multistage Wiener filter)的前向递推结构以及合适的信源估计技术,快速地估计出主瓣干扰的方向(Direction of arrival);之后利用该方向信息,构造阻塞矩阵来滤除主瓣干扰信号;最后,利用经过阻塞矩阵预处理之后的信号进行基于正交投影的快速自适应数字波束形成(Adaptive digital beamforming),形成单脉冲跟踪所需的和、差波束。理论分析和仿真结果验证了该算法的正确性和有效性。展开更多
文摘与基于全阵列的自适应波束形成算法相比,旁瓣对消(multiple side lobe canceller,MSLC)技术具有计算量小、性能稳健的优点。一般旁瓣对消系统要求在进行权值调整时,主瓣方向无信号入射,否则系统方向图将发生畸变。提出了基于子阵列数据差分的旁瓣对消系统设计思路,即利用线性阵列性质来改变主辅天线信号相关性,消除主瓣入射信号影响。在此基础上,针对干扰情况的不同,提出了更实用的多级差分旁瓣对消和反馈差分旁瓣对消技术。仿真结果表明,所提算法在不同信号环境下,均能有效抑制旁瓣干扰,同时保持主瓣方向图不发生畸变,具有很好的稳健性。
文摘When the power of the mainlobe interference received by the receiver is at the same level as the power of the sidelobe interference power,the traditional eigen-projection interference suppression method has the problems of severe beam deformation and peak shift.Aiming at these problems,a beam pattern optimization method(BPOM)was proposed,which can suppress the interference well even when the mainlobe interference power is approximately equal to the sidelobe interference power.In the method,the mainlobe interference eigenvectors are firstly determined according to the correlation criterion.Then through the eigenvalue comparison,the sidelobe interference eigenvectors whose eigenvalues are approximately equal to the mainlobe interference eigenvalues are judged.After that,a projection matrix is constructed to filter out the mainlobe and sidelobe interference.Finally,the covariance matrix is reconstructed and the weight vector for beamforming is obtained.Simulation shows that BPOM has a better output performance than the existing algorithms in case that the power of the mainlobe interference is close to that of the sidelobe interference.
文摘单脉冲雷达往往工作在复杂的电磁环境下。为了解决强干扰信号,尤其是主瓣干扰信号造成的单脉冲角度估计不准确问题,提出了一种新的自适应单脉冲角度跟踪算法。该算法首先利用接收到的阵列数据,利用多级维纳滤波器(Multistage Wiener filter)的前向递推结构以及合适的信源估计技术,快速地估计出主瓣干扰的方向(Direction of arrival);之后利用该方向信息,构造阻塞矩阵来滤除主瓣干扰信号;最后,利用经过阻塞矩阵预处理之后的信号进行基于正交投影的快速自适应数字波束形成(Adaptive digital beamforming),形成单脉冲跟踪所需的和、差波束。理论分析和仿真结果验证了该算法的正确性和有效性。
