A distributed positioning algorithm for cooperative active and passive sensors
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
1713 - 1718
MetadataShow full item record
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/28457
The problem of positioning a target node is studied for wireless sensor networks with cooperative active and passive sensors. Two-way time-of-arrival and time-difference-of-arrival measurements made by both active and passive nodes are used to estimate the position of the target node. A maximum likelihood estimator (MLE) can be employed to solve the problem. Due to the nonlinear nature of the cost function in the MLE, an iterative search might converge to local minima which often results in large estimation errors. To avoid this drawback, we instead formulate the problem of positioning as finding the intersection of a number of convex sets derived from measurements. To obtain this intersection, we apply the projection onto convex sets approach, which is robust and can be implemented in a distributed manner. Simulations are performed to compare the performance of the MLE and the proposed method. ©2010 IEEE.
Showing items related by title, author, creator and subject.
Yurtman A.; Barshan B. (MDPI AG, 2017)Most activity recognition studies that employ wearable sensors assume that the sensors are attached at pre-determined positions and orientations that do not change over time. Since this is not the case in practice, it is ...
Ambient assisted smart home design using vibration and PIR sensors [Vibrasyon ve PIR algilayicilar kullanilarak çevre destekli akilli ev tasarim] Yazar, A.; Enis Çetin, A. (2013)Intelligent ambient assisted living systems for elderly and handicapped people become affordable with the recent advances in computer and sensor technologies. In this paper, fall detection algorithm using multiple passive ...
Hand gesture recognition using two differential PIR sensors and a camera [Iki diferansiyel PIR algilayici ve bir kamera yardimiyla el hareketlerinin siniflandirilmasi] Erden F.; Bingol, A.S.; Cetin, A.E. (IEEE Computer Society, 2014)In this paper, a hand gesture detection and classification system using two differential Pyro-electric Infrared (PIR) sensors and a camera is introduced. Motion presence is investigated in the area of interest using two ...