A closed-form phase-comparison ML DOA estimator for automotive radar with one single snapshot
نویسندگان
چکیده
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 singlesnapshot 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.
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ورودعنوان ژورنال:
- IEICE Electronic Express
دوره 10 شماره
صفحات -
تاریخ انتشار 2013