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Sparse Extension Array Geometry for DOA Estimation With Nested MIMO Radar

delete2017-01-01
delete47
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OA
AI
Z
Zheng Wang
张小飞 (Xiaofei Zhang) *
J
Junpeng Shi
DOI:10.1109/ACCESS.2017.2710212delete
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Abstract

Abstract

En 中文
The two-level nested array geometry, which systematically nests two uniform linear subarrays, is proved to offer O(N-2) 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(N-4) 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.
Keywords:
Sparse extension
nested array
monostatic multiple-input multiple-output (MIMO) radar
degree of freedom (DOF)
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Journal

IEEE Access cover
IEEE Access
IF:
3.6
Papers:
9.8W
Citations:
29.4W

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