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Peak to average power ratio based spatial spectrum sensing for cognitive radio systems

机译:用于认知无线电系统的基于峰均功率比的空间频谱感测

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摘要

The recent convergence of wireless standards for incorporation of spatial dimension in wireless systems has made spatial spectrum sensing based on Peak to Average Power Ratio (PAPR) of the received signal, a promising approach. This added dimension is principally exploited for stream multiplexing, user multiplexing and spatial diversity. Considering such a wireless environment for primary users, we propose an algorithm for spectrum sensing by secondary users which are also equipped with multiple antennas. The proposed spatial spectrum sensing algorithm is based on the PAPR of the spatially received signals. Simulation results show the improved performance once the information regarding spatial diversity of the primary users is incorporated in the proposed algorithm. Moreover, through simulations a better performance is achieved by using different diversity schemes and different parameters like sensing time and scanning interval.
机译:用于在无线系统中合并空间维度的无线标准的最新融合使得基于接收信号的峰均功率比(PAPR)的空间频谱感测成为一种有前途的方法。该增加的维度主要用于流多路复用,用户多路复用和空间分集。考虑到这种针对主要用户的无线环境,我们提出了一种用于辅助用户的频谱感知的算法,该用户也配备了多个天线。所提出的空间频谱感测算法基于空间接收信号的PAPR。仿真结果表明,将与主要用户空间分集有关的信息纳入所提出的算法后,性能得到了改善。此外,通过仿真,使用不同的分集方案和不同的参数(如感应时间和扫描间隔)可以获得更好的性能。

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