2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications 2007
DOI: 10.1109/pimrc.2007.4394450
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Identification of the Absence of Direct Path in Indoor Localization Systems

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Cited by 39 publications
(40 citation statements)
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“…NLOS identification and mitigation techniques have been discussed extensively in the literature, but mainly within the cellular network framework [7][8][9][10][11][12][13]. For example, in [7], standard deviation of ranging measurements is compared with threshold for NLOS identification, where measurement noise variance is assumed to be known.…”
Section: Introductionmentioning
confidence: 99%
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“…NLOS identification and mitigation techniques have been discussed extensively in the literature, but mainly within the cellular network framework [7][8][9][10][11][12][13]. For example, in [7], standard deviation of ranging measurements is compared with threshold for NLOS identification, where measurement noise variance is assumed to be known.…”
Section: Introductionmentioning
confidence: 99%
“…When statistics of kurtosis, mean excess, and RMS delays are priori known, likelihood ratio tests can be performed for hypothesis selection. Another method was proposed by Heidari et al [10]. They tried to find the first detected path of the received signal as a peak of filtered channel impulse radio.…”
Section: Introductionmentioning
confidence: 99%
“…NLOS identification and mitigation techniques have been discussed extensively in the literature, but mainly within cellular network framework [7][8][9][10][11][12][13]. For example, in [7], skewness of ranging measurements is compared with threshold for NLOS identification, where measurement noise variance is assumed to be known.…”
Section: Introductionmentioning
confidence: 99%
“…When statistics of kurtosis, mean excess, and RMS delays are priori known, likelihood ratio tests can be performed for hypothesis selection. Another method was proposed by Heidari et al [10]. They tried to find the first detected path of the received signal as a peak of the filtered channel impulse radio.…”
Section: Introductionmentioning
confidence: 99%
“…The NLOS identification and mitigation techniques have been discussed extensively in the literature, but mainly within the cellular network framework [7][8][9][10][11][12][13]. For example, in [7], skewness of the ranging measurements is compared with the threshold for NLOS identification, where the measurement noise variance is assumed to be known.…”
Section: Introductionmentioning
confidence: 99%