A closed-form phase-comparison ML DOA estimator for automotive radar with one single snapshot

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概要

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• In automotive radar systems, only a small number of snapshots are available for direction-of-arrival (DOA) estimation in high mobility scenarios. We here propose a closed-form single-snapshot maximum likelihood (ML) DOA estimator based on the phase-comparison technique. The estimator can be effective in a wide field-of-view (FOV) scenario and is robust to gain-mismatch effects among antenna elements. Computer simulations are conducted to confirm the effectiveness of the proposed method.

著者

• LEE Ta-Sung

  Department of Communication Engineering and Microelectronics and Information Systems Research Center

• Tsai Tsung-Yu

  Department of Electrical Engineering, National Chiao Tung University

• Huang Chung-Jung

  Department of Electrical Engineering, National Chiao Tung University

• Dai Chia-Wei

  Department of Electrical Engineering, National Chiao Tung University

• Chung Wei-Ho

  Research Center for Information Technology Innovation, Academia Sinica

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• A closed-form phase-comparison ML DOA estimator for automotive radar with one single snapshot

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