Sparse Extension Array Geometry for DOA Estimation With Nested MIMO Radar | Zendy

Wang Zheng | Zendy; Xiaofei Zhang | Zendy; Junpeng Shi | Zendy

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Sparse Extension Array Geometry for DOA Estimation With Nested MIMO Radar

Author(s) -

Wang Zheng,

Xiaofei Zhang,

Junpeng Shi

Publication year - 2017

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2017.2710212

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

The two-level nested array geometry, which systematically nests two uniform linear subarrays, is proved to offer O(N²) degrees of freedom (DOFs) with only N sensors. In this paper, a novel sparse extension array geometry for nested multiple-input multiple-output radar is proposed to provide O(N⁴) DOFs with N sensors. In the proposed geometry, both the transmitter and receiver are equipped with the two-level nested arrays, where we particularly extend the inter-element spacing of the transmitter with a sparse extension factor, leading to a great increase of DOF. Furthermore, we derive the closed-form expressions for the sensor locations and the available DOFs. Spatial smoothing-based MUSIC algorithm is employed to validate the effectiveness and superiority of the proposed sparse extension array for direction of arrival estimation.

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