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      Asynchronous track-to-track fusion by direct estimation of time of sample in sensor networks

      , Article IEEE Sensors Journal ; Vol. 14, issue. 1 , Jan , 2014 , p. 210-217 ; 1530437X Talebi, H ; Hemmatyar, A. M. A ; Sharif University of Technology
      Abstract
      Asynchronous data fusion is inevitable in track-to-track fusion for tracking high-speed targets. For low-speed targets, e.g., the movement of clouds, synchronization is insignificant and, depending on the application, may be disregarded. Real-time asynchronous fusion is a demanding task in sensor networks when the sensors are not synchronous in sampling-rate or in sampling-phase. In the method proposed in this paper, an estimator in the fusion center estimates the actual time of the sample with respect to the time-reference of the fusion center upon receiving the data from a sensor. Then, the computer of the fusion center uses predictions to transfer all the received data to the data... 

      Real-Time Fusion of Asynchronous Data in Distributed Sensor Networks

      , Ph.D. Dissertation Sharif University of Technology Talebi, Hadi (Author) ; Hemmatyar, A. M. Afshin (Supervisor)
      Abstract
      Real-time asynchronous data fusion for high-speed phenomena is an important and challenging task in the sensor networks. Examples of data fusion applications in sensor networks are: managing the traffic of maneuvering airplanes and ground vehicles in airside areas of an airport, traffic management in streets and roads, Driver Assistance Systems, guidance of antiaircraft and antimissile missiles. In all the data fusion applications the estimation of the required variables is necessary.
      In this research two methods are introduced for real-time asynchronous data fusion, especially for track-to-track fusion of high-speed phenomena in sensor networks. The effectiveness and usability of these... 
    Total 2 records