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Location Estimation for Multiple Targets Using Expanded DFS Algorithm
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 Title & Authors
Location Estimation for Multiple Targets Using Expanded DFS Algorithm
Park, So Ryoung; Noh, Sanguk;
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 Abstract
This paper proposes the location estimation techniques of distributed targets with the multi-sensor data perceived through IR sensors of the military robots in consideration of obstacles. In order to match up targets with measured azimuths, to add to the depth-first search (DFS) algorithms in free-obstacle environment, we suggest the expanded DFS (EDS) algorithm including bypass path search, partial path search, middle level ending, and the supplementation of decision metric. After matching up targets with azimuths, we estimate the coordinate of each target by obtaining the intersection point of the azimuths with the least square error (LSE) algorithm. The experimental results show the error rate of estimated location, mean number of calculating nodes, and mean distance between real coordinates and estimated coordinates of the proposed algorithms.
 Keywords
location estimation;cooperative surveillance;distributed targets;tree search algorithm;
 Language
Korean
 Cited by
1.
선형 최소제곱오차 알고리즘을 응용한 3차원 표적 위치 추정 기법,한정재;정윤환;노상욱;박소령;강도근;최원규;

한국통신학회논문지, 2016. vol.41. 7, pp.715-722 crossref(new window)
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