系统工程与电子技术

• 传感器与信号处理 • 上一篇    下一篇

色噪声下双基地MIMO雷达DOD和DOA联合估计

王彩云1, 龚珞珞2, 吴淑侠2   

  1. (1.南京航空航天大学航天学院, 江苏 南京210016;
    2.南京航空航天大学电子信息工程学院, 江苏 南京 210016)
  • 出版日期:2015-09-25 发布日期:2010-01-03

Joint DOD and DOA estimation for bistatic MIMOradar in the presence of colored noise

WANG Caiyun1, GONG Luoluo2, WU Shuxia2   

  1. (1. College of Astronautics, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China; 2. College ofElectronic and Information Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China)
  • Online:2015-09-25 Published:2010-01-03

摘要:

针对双基地多输入多输出(multipleinput multipleoutput,MIMO)雷达在色噪声环境中的收发角度估计问题,提出了一种基于改进四阶累积量的角度估计算法。该算法首先构造回波信号的四阶累积量矩阵,然后根据四阶累积量矩阵的形成规律,在保证虚拟阵列孔径有效扩展的前提下去除其中的冗余项,达到矩阵降维的目的。最后将降维后的矩阵特征分解得到噪声子空间,再利用四阶累积量的多重信号分类(multiple signal classification,MUSIC)算法实现最终的收发角度估计。所提算法不仅可以有效抑制高斯色噪声,并且能够减小四阶累积量矩阵的维数,降低计算的复杂度,仿真结果验证了该算法的有效性。

Abstract:

To solve the problem of angle estimation for bistatic multiple input multiple output (MIMO) radar, a new method based on improved fourthorder cumulants (FOC) for joint direction of department (DOD) and direction of arrival (DOA) estimation is proposed in the presence of colored noise. A FOC matrix of the echoed signal is firstly constructed. Then, according to the constructed law of the FOC matrix, redundant information is removed to reduce its dimension, while the effective aperture of the virtual array keeps unchanged. Finally, the noise subspace is derived by eigenvalue decomposition, and angle estimation is realized according to the multiple signal classification (MUSIC) algorithm based on FOC. The proposed method can suppress the effect of Gaussian colored noise, and reduce the computational complexity by reducing the dimension of the FOC matrix. Simulation results verify that the proposed method is effective.