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CNR estimation under man-made radio noise environment and its application to noise reduction technique using sector antenna

机译:人为无线电噪声环境下的CNR估计及其在扇形天线降噪技术中的应用

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Man-made noise emitted from Industrial, Scientific and Medical (ISM) apparatus is known to be one of the major causes of errors in ISM-band wireless Local Area Network (LAN) systems. Although many kinds of countermeasures to improve the performance of ISM-band wireless LAN systems have been proposed, most of these countermeasures are required to estimate the statistical characteristics of man-made noise in advance. In this paper, as the basic parameter characterizing the statistics of of man-made noise the received Carrier to Noise power Ratio (CNR) is employed, we discuss the CNR estimation under man-made noise environment. Moreover, CNR estimation is applied to noise reduction technique using angle diversity reception with sector antenna, and the improvement in bit error rate performance is evaluated.
机译:从工业,科学和医学(ISM)装置发出的人为噪声已知是ISM频段无线局域网(LAN)系统中错误的主要原因之一。尽管已经提出了多种改善ISM频段无线LAN系统性能的对策,但是这些对策中的大多数都需要预先估计人为噪声的统计特性。在本文中,作为表征人为噪声统计的基本参数,采用了接收到的载波噪声功率比(CNR),讨论了人为噪声环境下的CNR估计。此外,CNR估计被应用于使用扇形天线的角度分集接收的降噪技术,并且评估了误码率性能的提高。

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