Abstract
In this paper, joint direction of departure (DOD) and direction of arrival (DOA) estimation for strictly noncircular sources in multiple-input multiple-output (MIMO) radar is dealt with by a novel tensor based subspace method. The proposed method firstly formulates a novel augmented tensor for capturing both the noncircularity and inherent multidimensional structure of strictly noncircular signals, and then a tensor based signal subspace is constructed by utilizing the high-order singular value decomposition (HOSVD). Finally, the DODs and DOAs are achieved by calculating the rotational invariance factors corresponding to the augmented steering matrix. The proposed method provides better angle estimation performance than the existing subspace based algorithms, especially in the case of low SNR and a small number of snapshots. In addition, the DODs and DOAs are paired automatically. The effectiveness and advantages of the proposed method are demonstrated via simulation results.
| Original language | English |
|---|---|
| Article number | 042023 |
| Journal | Journal of Physics: Conference Series |
| Volume | 1087 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2 Oct 2018 |
| Externally published | Yes |
| Event | 1st International Conference on Advanced Algorithms and Control Engineering, ICAACE 2018 - Pingtung, Taiwan, Province of China Duration: 10 Aug 2018 → 12 Aug 2018 |
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