Joint High-Resolution Range and DOA Estimation via MUSIC Method Based on Virtual Two-Dimensional Spatial Smoothing for OFDM Radar
Joint High-Resolution Range and DOA Estimation via MUSIC Method Based on Virtual Two-Dimensional Spatial Smoothing for OFDM Radar
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DOI：
10.1155/2018/6012426
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发表时间：
2018-11
影响因子：
1.5
通讯作者：
Rui Zhang;Y. Quan;Shengqi Zhu;Lei Yang;Yachao Li;M. Xing
中科院分区：
文献类型：
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作者：
Rui Zhang;Y. Quan;Shengqi Zhu;Lei Yang;Yachao Li;M. Xing
针对正交频分复用(OFDM)雷达目标参数估计的目的，提出一种基于OFDM阵列雷达的高分辨率距离和到达方向(DOA)联合估计方法。首先对OFDM阵列雷达回波模型进行了设计和分析。由于窄带信号的距离和角度参数估计之间不存在耦合，因此设计了一种基于距离和角度维度的虚拟二维空间平滑的多信号分类（MUSIC），利用一次快照的数据来估计目标的距离和角度的方法。该方法能够在单快照情况下以高分辨率联合估计目标的距离和DOA。仿真实验验证了该方案的有效性。
For the purpose of target parameter estimation of the orthogonal frequency-division multiplexing (OFDM) radar, a high-resolution method of joint estimation on range and direction of arrival (DOA) based on OFDM array radar is proposed in this paper. It begins with the design and analysis of an echo model of OFDM array radar. Since there is no coupling between range and angle parameter estimation for a narrow-band signal, a method which exploits the data of one snapshot to estimate the range and angle of the target by means of multiple signal classification (MUSIC) based on virtual two-dimensional spatial smoothing in range and angle dimensions is devised. The proposed method is capable of joint estimating the range and DOA of the target in a high resolution under a single snapshot circumstance. Simulation experiments demonstrate the validity of the proposal.