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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >A Super-Resolution DOA Estimation Method for Fast-Moving Targets in MIMO Radar
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A Super-Resolution DOA Estimation Method for Fast-Moving Targets in MIMO Radar

机译：用于MIMO雷达的快速移动目标的超分辨率DOA估计方法

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摘要

Direction of arrival (DOA) estimation is an essential problem in the radar systems. In this paper, the problem of DOA estimation is addressed in the multiple-input and multiple-output (MIMO) radar system for the fast-moving targets. A virtual aperture is provided by orthogonal waveforms in the MIMO radar to improve the DOA estimation performance. Different from the existing methods, we consider the DOA estimation method with only one snapshot for the fast-moving targets and achieve the super-resolution estimation from the snapshot. Based on a least absolute shrinkage and selection operator (LASSO), a denoise method is formulated to obtain a sparse approximation to the received signals, where the sparsity is measured by a new type of atomic norm for the MIMO radar system. However, the denoise problem cannot be solved efficiently. Then, by deriving the dual norm of the new atomic norm, a semidefinite matrix is constructed from the denoise problem to formulate a semidefinite problem with the dual optimization problem. Finally, the DOA is estimated by peak-searching the spatial spectrum. Simulation results show that the proposed method achieves better performance of the DOA estimation in the MIMO radar system with only one snapshot.
机译：到达方向（DOA）估计是雷达系统的重要问题。在本文中，在快速移动目标的多输入和多输出（MIMO）雷达系统中解决了DOA估计问题。虚拟孔径由MIMO雷达中的正交波形提供，以改善DOA估计性能。与现有方法不同，我们考虑DOA估计方法，只有一个快速目标的一个快照，并实现快照的超分辨率估计。基于最少的绝对收缩和选择操作员（套索），配制了一种去噪方法以获得对接收信号的稀疏近似，其中稀疏通过用于MIMO雷达系统的新型原子标准来测量。但是，不能有效地解决了去噪问题。然后，通过导出新原子规范的双标准，从Denoise问题构建了半纤维矩阵，以配制与双优化问题的半纤维问题。最后，通过峰值搜索空间谱来估算DOA。仿真结果表明，该方法在MIMO雷达系统中实现了更好的DOA估计，只有一个快照。

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