文章基本信息

标题：A New Low Complexity NLOS Identification Approach Based on Maximum Slope and Skewness of Energy Block for 60GHz System
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作者：Xiaolin Liang ; Hao Zhang ; Tingting Lv 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：9
页码：303-316
出版社：SERSC
摘要：The major problem of indoor localization is the presence of non-line-of-sight (NLOS) channels. In order to perform the NLOS identification, in this paper, we propose a novel NLOS identification technique based on the ratio values of the maximumslope and skewnessof energy block of the received signal usingenergy detector.In particular, the IEEE 802.15.3c 60GHz channel models are used as examples and the above statistics is found to be explained in detail.The simplicity of the proposed approach lies in the use of the parameters of the energy-based time of arrival (TOA) Estimation algorithm. The CM1(LOS)and CM2(NLOS)channel models of the standard IEEE802.15.3cchannel models are used. Numerical simulationsresults show that the correct identification of channel models with the proposed approach is better than with the multipath channel statistics based approach.
关键词：NLOS identification; ;maximum;slope; ;skewness; ;60GHz; Energy Detector; ;IEEE;802.15.3c