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Blind Localization of Primary Users with Sectorial Antennas

机译：用扇区天线盲目定位主要用户

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It is essential to estimate the position of primary users (PUs) for the further development of cognitive radio (CR) networks. Great efforts have been done to seek for localization algorithms with high performance but low computation. In a CR network, PUs do not cooperate with secondary users (SUs), which makes localization challenging. Due to this feature, received signal strength (RSS)- based localization techniques, such as weighted centroid localization (WCL) can be one of the best candidates. However, most of the existing works in this area did not consider the directionality of the antennas. In this paper, we propose a blind localization algorithm using the signal strength received by different sectors of the SU antenna. Then a scoring strategy is applied to all the sectors to estimate the PU location. Two scoring strategies are proposed. Numerical results show that the proposed sectorial antenna technique is robust to PU locations and channel conditions. Compared with WCL, it offers a great improvement in the performance.
机译：重要的是估计主要用户（PU）的位置，以便进一步发展认知无线电（CR）网络。已经努力寻求具有高性能但低计算的本地化算法。在CR网络中，PU与二级用户（SUS）合作，这使得本地化具有挑战性。由于该特征，基于信号强度（RSS）的本地化技术，例如加权质心定位（WCL）可以是最佳候选者之一。然而，该地区的大多数现有作品都没有考虑天线的方向性。在本文中，我们提出了一种盲本地化算法，使用由SU天线的不同扇区接收的信号强度。然后将评分策略应用于所有部门来估算PU位置。提出了两项​​评分策略。数值结果表明，所提出的扇形天线技术对PU位置和信道条件具有鲁棒性。与WCL相比，它提供了良好的性能。

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