2D-DOA Estimation for Coherent Signals via a Polarized Uniform Rectangular Array

作者：Zhang, Zhe; Wen, Fangqing^*; Shi, Junpeng; He, Jin; Truong, Trieu-Kien

来源：IEEE SIGNAL PROCESSING LETTERS, 2023, 30: 893-897.

DOI：10.1109/LSP.2023.3296038

• Sensor arrays
• Estimation
• Matrix decomposition
• Transmission line matrix methods
• Sensors
• Smoothing methods
• Tensors
• 2D-DOA
• polarized sensor array
• coherent sources
• parallel factor analysis

This letter aims to estimate the 2-D direction-of-arrival (DOA) using a polarized uniform rectangular array (URA) under multipath propagation. To leverage the tensorial nature, a parallel factor (PARAFAC) model is established, in which it comprises two spatial response matrices, the polarization response matrix, and the source matrix. Unfortunately, the source matrix exhibits rank-deficiency, hindering effectively PARAFAC decomposition. Our analysis reveals that the rank-deficiency can be easily resolved by taking the KhatriRao product with a full column rank factor matrix. Consequently, three rearranged PARAFAC tensors are obtained that are free of the source matrix's rank-deficiency. The estimation of 2D-DOA is then performed using the vector cross product-auxiliary rotational invariance technique (VCPARIT). The proposed algorithms are insensitive to inter-sensor distance and are suitable for a one-snapshot scenario. Furthermore, they outperform existing smoothing methods from the perspective of estimation accuracy. Theoretical advantages of the proposed algorithms are corroborated by the simulations.

• 单位
  上海交通大学