Statistical Modeling and Estimation of Censored Pathloss Data
Pathloss is typically modeled using a log-distance power law with a large-scale fading term that is log-normal. However, the received signal is affected by the dynamic range and noise floor of the measurement system used to sound the channel, which can cause measurement samples to be truncated or ce...
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| Veröffentlicht in: | IEEE wireless communications letters 2015-10, Vol.4 (5), p.569-572 |
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| creator | Gustafson, Carl Abbas, Taimoor Bolin, David Tufvesson, Fredrik |
| description | Pathloss is typically modeled using a log-distance power law with a large-scale fading term that is log-normal. However, the received signal is affected by the dynamic range and noise floor of the measurement system used to sound the channel, which can cause measurement samples to be truncated or censored. If the information about the censored samples is not included in the estimation method, as in ordinary least squares estimation, it can result in biased estimation of both the pathloss exponent and the large scale fading. This can be solved by applying a Tobit maximum-likelihood estimator, which provides consistent estimates for the pathloss parameters. This letter provides information about the Tobit maximum-likelihood estimator and its asymptotic variance under certain conditions. |
| doi_str_mv | 10.1109/LWC.2015.2463274 |
| format | Article |
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(IEEE) 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-55e2dd75402bfcb1badc05b544d1b9ada180e8fb5b292f9a7eafc98c2d4664e3</citedby><cites>FETCH-LOGICAL-c540t-55e2dd75402bfcb1badc05b544d1b9ada180e8fb5b292f9a7eafc98c2d4664e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7174517$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,551,777,781,793,882,27906,27907,54740</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7174517$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://gup.ub.gu.se/publication/236329$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttps://lup.lub.lu.se/record/7761077$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttps://research.chalmers.se/publication/236329$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Gustafson, Carl</creatorcontrib><creatorcontrib>Abbas, Taimoor</creatorcontrib><creatorcontrib>Bolin, David</creatorcontrib><creatorcontrib>Tufvesson, Fredrik</creatorcontrib><title>Statistical Modeling and Estimation of Censored Pathloss Data</title><title>IEEE wireless communications letters</title><addtitle>LWC</addtitle><description>Pathloss is typically modeled using a log-distance power law with a large-scale fading term that is log-normal. However, the received signal is affected by the dynamic range and noise floor of the measurement system used to sound the channel, which can cause measurement samples to be truncated or censored. If the information about the censored samples is not included in the estimation method, as in ordinary least squares estimation, it can result in biased estimation of both the pathloss exponent and the large scale fading. This can be solved by applying a Tobit maximum-likelihood estimator, which provides consistent estimates for the pathloss parameters. This letter provides information about the Tobit maximum-likelihood estimator and its asymptotic variance under certain conditions.</description><subject>Antenna measurements</subject><subject>censored data</subject><subject>Communication Systems</subject><subject>Data models</subject><subject>Electrical Engineering, Electronic Engineering, Information Engineering</subject><subject>Elektroteknik och elektronik</subject><subject>Engineering and Technology</subject><subject>Fading</subject><subject>Kommunikationssystem</subject><subject>Maximum likelihood estimation</subject><subject>Noise</subject><subject>ordinary least squares</subject><subject>Pathloss</subject><subject>Teknik</subject><subject>truncated data</subject><subject>vehicular communication</subject><issn>2162-2337</issn><issn>2162-2345</issn><issn>2162-2345</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>D8T</sourceid><recordid>eNp1kU1r3DAQhk1poSHNvdCLoWdvNPqwrEMPZZs2hS0tJNCjGEnjXQdnvZW8hP77jrNpbhEMEqN3Ho3mrar3IFYAwl1ufq9XUoBZSd0qafWr6kxCKxuptHn9fFb2bXVRyp3g1QqQ0J1Vn25mnIcyDxHH-seUaBz22xr3qb7i5D3fTft66us17cuUKdW_cN6NUyn1F5zxXfWmx7HQxdN-Xt1-vbpdXzebn9--rz9vmmi0mBtjSKZk-SxDHwMETFGYYLROEBwmhE5Q1wcTpJO9Q0vYR9dFmXTbalLn1c0JWx7ocAz-kLmz_NdPOPhMhTDHnY87HO8pF1_IaxJWOuo9AgWvW6m80wDeBpeSsynwi0zdvEgdjweOwLHgbGxVj2A8gYJHuHdC8TOi0xhMG7RbmmxexG0Zx6ntI00q9six_uNJf8jTnyOV2d9Nx7znMXqwxhkBViwqcVLFzEPP_KX_XBB-8d6z937x3j95zyUfTiUDET3LLVhtwKp_OiqqFw</recordid><startdate>20151001</startdate><enddate>20151001</enddate><creator>Gustafson, Carl</creator><creator>Abbas, Taimoor</creator><creator>Bolin, David</creator><creator>Tufvesson, Fredrik</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| subjects | Antenna measurements censored data Communication Systems Data models Electrical Engineering, Electronic Engineering, Information Engineering Elektroteknik och elektronik Engineering and Technology Fading Kommunikationssystem Maximum likelihood estimation Noise ordinary least squares Pathloss Teknik truncated data vehicular communication |
| title | Statistical Modeling and Estimation of Censored Pathloss Data |
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