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학술대회 Multi-Reference Based Target Tracking for TDOA Systems
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저자
백재욱, 이창은, 박상준
발행일
202101
출처
International Conference on Big Data and Smart Computing (BigComp) 2021, pp.279-282
DOI
https://dx.doi.org/10.1109/BigComp51126.2021.00058
협약과제
20HR6100, 군내 병영생활 안전 및 인재관리 신뢰성 문제해결, 박상준
초록
In military and civilian applications, target localization is one of the crucial techniques to improve spatial awareness and enable location services without human intervention. However, in a noisy and cluttered environment, it is challenging to achieve high estimation accuracy due to inherent measurement error and clutter-reflected measurement via non-line of sight (NLOS) link between radar sensors and target. In this paper, we propose a multi-reference based target localization (MRTL) process to estimate the location of targets using time difference of arrival (TDOA) measurement. Compared to single reference TDOA systems where target localization may fail in some cases due to sensor-target geometry and TDOA error, the proposed MRTL can be a reliable and robust solution by utilizing multiple reference sensors simultaneously. Simulation results are provided to demonstrate the performance of our proposed MRTL process.
KSP 제안 키워드
Cluttered environment, Estimation accuracy, Line-Of-Sight(LOS), Location Service, Measurement errors, Non Line-of-sight(NLOS), Radar sensor, Robust solutions, Spatial awareness, Target geometry, Target localization