摘要
针对传统互质阵列波达方向(Direction of Arrival,DOA)估计方法的自由度低、阵列孔径小、特定方向上存在相位模糊,以及低信噪比下估计性能不佳等问题,提出了基于多重信号分类(Multiple Signal Classification,MUSIC)算法的单基地展开互质阵列多输入多输出(Multiple Input Multiple Output,MIMO)雷达DOA估计方法。该方法结合了MIMO雷达和展开互质阵列,利用展开互质阵列作为收发阵列,获得了相较于均匀线阵以及传统互质阵列更大的阵列孔径,且自由度得到提高,算法在信噪比低至-20 dB时,仍有着尖锐的谱峰。但是算法涉及对高维度矩阵的特征值分解,因此运算量极大,继而提出了基于传播算子(Propagation Method,PM)的单基地展开互质阵列MIMO雷达DOA估计方法,避免了特征值分解,运算量显著下降,且信噪比大于2 dB时性能相仿。随后,进行了无相位模糊的理论推导,提出的两种算法均严格无传统相位模糊以及新场景相位模糊问题。最后,仿真验证了算法的有效性。
The conventional coprime array direction of arrival(DOA) estimation algorithm has many problems,such as low degree of freedom,small array aperture,phase ambiguity in a specific direction and poor estimation performance on the low signal-to-noise ratio,etc.To solve these problems,a DOA estimation method for monostatic unfolded coprime array multiple input multiple output(MIMO) radar based on the multiple signal classification(MUSIC) algorithm is proposed.The method combines MIMO radar and unfolded coprime array.By using the unfolded coprime array as a transceiver array,the larger array aperture and the higher degree of freedom are obtained than the uniform linear array and the traditional coprime array.The algorithm still has sharp spectral peaks even SNR is as low as-20 dB.However,the algorithm involves eigenvalue decomposition of high-dimensional matrices,leading to the high computational complexity.Consequently,a DOA estimation method for monostatic unfolded coprime array MIMO radar is proposed based on propagation method,thus avoiding the eigenvalue decomposition and reducing the computational complexity.When SNR is greater than 2 dB,the performance is similar.Subsequently,the theory of phase-free ambiguity is deduced.Both of the proposed methods are strictly free from traditional phase ambiguity and phase ambiguity in new scenes.Finally,the effectiveness of the methods is verified by simulation.
作者
周围
王强
唐俊
张维
ZHOU Wei;WANG Qiang;TANG Jun;ZHANG Wei(College of Electronics Engineering/International Semiconductor College,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Chongqing Key Laboratory of Mobile Communications Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
出处
《南京邮电大学学报（自然科学版）》
北大核心
2019年第6期1-8,共8页
Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition
基金
国家自然科学基金(61771085)
重庆市基础与前沿研究计划(CSTC2015icyjA40040)资助项目
关键词
波达方向
多输入多输出
展开互质阵列
相位模糊
direction of arrival(DOA)
multiple input multiple output(MIMO)
unfolded coprime array
phase ambiguity
