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Improved weighted RSS positioning algorithm for cognitive radio

Improved weighted RSS positioning algorithm for cognitive radio,10.1109/ICOSP.2010.5656690,Mohammad Kazemi,Mehrdad Ardebilipour,Narges Noori

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Improved weighted RSS positioning algorithm for cognitive radio   (Citations: 1)
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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 cognitive RSS algorithms are not precise enough, because they do not consider all practical factors that affect the estimation error. In our proposed cognitive RSS positioning algorithm we try to take account of all the error affecting factors, namely noise, shadowing and error in path loss exponent estimation. Simulation results show that our proposed algorithm outperforms the existing RSS algorithms in estimation accuracy by reducing the mean and variance of estimation error.
Conference: International Conference on Signal Processing Proceedings - ICSP , 2010
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    • ...In [4,7], a spatial holes estimation algorithm is proposed based on RSS-WLS algorithm which can estimate primary users’ powers and positions...
    • ...Although [4,7] propose an RSS-WLS based simultaneous location and power estimation algorithm for cognitive radio setup, it does not obtain any exact or approximate performance analysis for the estimation error...
    • ...In presence of the RSS measurement error, variable vector, �� , in (4) can be obtained using WLS method, which the details are discussed in [4,7]...

    Mohammad Kazemi, et al. Performance Analysis of Simultaneous Location and Power Estimation Usi...

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