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Precise estimation of the position and transmission power of the primary user is of great importance in cognitive radio (CR) networks. These information can help the secondary users to exploit the spatial resources better and reduce the interference with primary users. In order to find position of the primary users, we propose a new cognitive situated received signal strength (RSS) algorithm. Existing...
In this paper, questions related to design of WLAN radio map for fingerprinting based positioning were investigated. The experiment results show that with histogram based algorithms, the positioning accuracy improves as the number of histogram bins increases until the number of bins reaches eight. With the number of bins lower than this, the uneven bin distribution with separate bin for missing samples...
This paper considers the use of a sensor network to estimate the position of a transmitting radio based on the received signal strength at the sensors. A generic path loss model which includes the effects of spatially correlated shadowing is assumed. A weighted likelihood (WL) estimator is proposed, which can be seen as a simplified minimum mean square error (MMSE) estimator. This estimator can be...
Positions estimation from Time of Arrival (TOA), Time Difference of Arrival (TDOA), and Angle of Arrival (AOA) measurements are the commonly used techniques. These approaches use the location parameters received from different sources and they are based on intersections of circles, hyperbolas, and lines, respectively. The location is determined using standard complex computation methods that are usually...
A simple technique to estimate the position of a mobile node inside a building is based on the received signal strength (RSS). In a previous publication, we investigated the feasibility of using circular array antennas and beamforming in order to enable an access point to estimate the position of a mobile inside a building. The approach utilized the two dimensional information (i.e. RSS for various...
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