Implementation of High-Resolution Angle Estimator for an Unmanned Ground Vehicle |
SeungHun Cha1, DongJin Yeom2, EunHee Kim3 |
1ISR R&D Lab., LIGNex1 Co., Ltd. 2Korea Agency for Defense Development 3Department of Defense System Engineering, Sejong University |
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Abstract |
We implemented a real-time radar system for an unmanned ground vehicle designed to run on unpaved or bumpy roads. The system must be able to detect slow targets in a cluttered environment and cover wide angular sections with high resolution at the same time. The system consists of array antennas, preprocessors for digital beam forming, and digital signal processors for the detection process which uses sawtooth waveforms and high-resolution estimation, and is called forward/backward spatial smoothing beamspace multiple signal classification (FBSS BS-MUSIC). We show that the sawtooth waveforms enhance the angular estimation capability of FBSS BS-MUSIC in addition to their well-known advantages of removing the ambiguity of targets and detecting slow targets with improved velocity resolution. |
Key words:
Angle Estimation, Beam Space MUSIC, FMCW Radar, Spatial Smoothing |
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