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Volume 30 Issue 11
Jan.  2011
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Liu Ying-Kun, Feng Xin-Xi, Dang Hong-Gang, Pan Ping-Jun. A Suboptimal Detection Arithmetic Based on Neyman-Pearson Rule and Wireless Channel in the Distributed Detection[J]. Journal of Electronics & Information Technology, 2008, 30(11): 2650-2653. doi: 10.3724/SP.J.1146.2007.00612
Citation: Liu Ying-Kun, Feng Xin-Xi, Dang Hong-Gang, Pan Ping-Jun. A Suboptimal Detection Arithmetic Based on Neyman-Pearson Rule and Wireless Channel in the Distributed Detection[J]. Journal of Electronics & Information Technology, 2008, 30(11): 2650-2653. doi: 10.3724/SP.J.1146.2007.00612

A Suboptimal Detection Arithmetic Based on Neyman-Pearson Rule and Wireless Channel in the Distributed Detection

doi: 10.3724/SP.J.1146.2007.00612
  • Received Date: 2007-04-23
  • Rev Recd Date: 2008-01-10
  • Publish Date: 2008-11-19
  • In the actual detection, the wireless channels from the local detectors to fusion center usually cant be the ideal channel, so the traditional optimal detection arithmetic based on the ideal channel is rectified accordingly. In this paper, a suboptimal detection arithmetic is studied based on non-ideal channel, using Neyman-Pearson (NP) rule the decision forms of every node are derived, according to the probability theory knowledge, the false alarm probability and the detection probability of every node are obtained, in order to maximize the detection probability restricted a constant of the false alarm probability, the iterative arithmetic is applied to find the detective threshold of every node. Finally the smulation shows that the non-ideal channel affect the detection performance of system surely.
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