http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
A New Rigid Body Localization Scheme Exploiting Participatory Search Algorithm
Shangyi Yang,Chao Sun,김영억 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.6
Since both the position and the orientation of a rigid target can be estimated with a few sensors, which are mounted on the target, it is well known that the rigid body localization (RBL) has various potential applications. In this paper, we propose a new RBL scheme exploiting a participatory search algorithm to simultaneously estimate the unknown parameters for both the three-dimensional displacement and the rotation angles of the target with a single base station using direction of arrival measurements. The performance of the proposed scheme is compared with that of the RBL scheme using a particle swarm optimization algorithm over various conditions such as diff erent noise levels, iterations, various sizes of target, and various search space. According to the results of simulation, the proposed scheme provides higher hit success rate for the optimal solution, lower root mean squared errors in estimation, even with less computational complexity.
Chao Sun(손초),Jeongpyo Lee(이정표),Kyung-Eun Park(박경은),Shangyi Yang(양상의),Youngok Kim(김영억) 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
In this paper, we propose a localization scheme for multiple device-free targets in wireless sensor network. The ellipse model of wireless link is utilized to create different weights for meshes in monitoring area. By setting a threshold for the weights of meshes and using the density-based spatial clustering of applications with noise (DBSCAN) algorithm, different shapes of mesh clusters that represent each target can be obtained. The proposed scheme was compared with the conventional k-means algorithm in solving the clustering problem for the meshes clusters representing three different targets. According to the simulation results, the proposed scheme outperforms the k-means scheme.
이정표(Jeongpyo Lee),박경은(Kyung-Eun Park),손초(Chao Sun),양상의(Shangyi Yang),김영억(Youngok Kim) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.11
본 논문에서는 스마트폰에 내장된 가속도, 자이로, 지자기 센서가 결합된 IMU 센서를 사용하여 실내에서의 향상된 방향 추정에 대한 연구결과를 소개하고자 한다. 일반적으로 방향 추정은 지자기 센서를 통해 비교적 쉽게 할 수가 있으나, 실내에서는 지자기장의 교란이 심하기 때문에 지자기 센서 만으로는 방향을 추정하는 것이 어렵다. 따라서 본 논문에서는 IMU 센서로 수집되는 가속도, 자이로, 지자기 데이터를 활용하여 지자기 교란의 정도를 판단하여 스마트폰 방향 추정의 정확도를 향상시키는 방법을 제시하고자 하였다.