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http://dx.doi.org/10.9766/KIMST.2014.17.6.810

Range-Doppler Clustering of Radar Data for Detecting Moving Objects  

Kim, Seongjoon (Defense Unmanned Technology Center, Agency for Defense Development)
Yang, Dongwon (Defense Unmanned Technology Center, Agency for Defense Development)
Jung, Younghun (Defense Unmanned Technology Center, Agency for Defense Development)
Kim, Sujin (Defense Unmanned Technology Center, Agency for Defense Development)
Yoon, Joohong (Defense Unmanned Technology Center, Agency for Defense Development)
Publication Information
Journal of the Korea Institute of Military Science and Technology / v.17, no.6, 2014 , pp. 810-820 More about this Journal
Abstract
Recently many studies of Radar systems mounted on ground vehicles for autonomous driving, SLAM (Simultaneous localization and mapping) and collision avoidance are reported. In near field, several hits per an object are generated after signal processing of Radar data. Hence, clustering is an essential technique to estimate their shapes and positions precisely. This paper proposes a method of grouping hits in range-doppler domains into clusters which represent each object, according to the pre-defined rules. The rules are based on the perceptual cues to separate hits by object. The morphological connectedness between hits and the characteristics of SNR distribution of hits are adopted as the perceptual cues for clustering. In various simulations for the performance assessment, the proposed method yielded more effective performance than other techniques.
Keywords
RADAR; Clustering; Pre-Clustering; Range-Doppler Image; Partial Plot;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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