{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T03:17:25Z","timestamp":1762917445335},"reference-count":20,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2013,3,5]],"date-time":"2013-03-05T00:00:00Z","timestamp":1362441600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advances in Artificial Neural Systems"],"published-print":{"date-parts":[[2013,3,5]]},"abstract":"<jats:p>Multipath mitigation is a long-standing problem in global positioning system (GPS) research and is essential for improving the accuracy and precision of positioning solutions. In this work, we consider multipath error estimation as a regression problem and propose a unified framework for both code and carrier-phase multipath mitigation for ground fixed GPS stations. We use the kernel support vector machine to predict multipath errors, since it is known to potentially offer better-performance traditional models, such as neural networks. The predicted multipath error is then used to correct GPS measurements. We empirically show that the proposed method can reduce the code multipath error standard deviation up to 79% on average, which significantly outperforms other approaches in the literature. A comparative analysis of reduction of double-differential carrier-phase multipath error reveals that a 57% reduction is also achieved. Furthermore, by simulation, we also show that this method is robust to coexisting signals of phenomena (e.g., seismic signals) we wish to preserve.<\/jats:p>","DOI":"10.1155\/2013\/240564","type":"journal-article","created":{"date-parts":[[2013,3,5]],"date-time":"2013-03-05T22:05:37Z","timestamp":1362521137000},"page":"1-14","source":"Crossref","is-referenced-by-count":17,"title":["A Unified Framework for GPS Code and Carrier-Phase Multipath Mitigation Using Support Vector Regression"],"prefix":"10.1155","volume":"2013","author":[{"given":"Quoc-Huy","family":"Phan","sequence":"first","affiliation":[{"name":"University of Information Technology, Km 20, Ha Noi Highway, Linh Trung Ward, Thu Duc, HCMC 70000, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Su-Lim","family":"Tan","sequence":"additional","affiliation":[{"name":"Singapore Institute of Technology, 25 North Bridge Road, Singapore 179104"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ian","family":"McLoughlin","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, University of Science and Technology of China, No. 443 Huangshan Road, Hefei, Anhui 230027, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Duc-Lung","family":"Vu","sequence":"additional","affiliation":[{"name":"University of Information Technology, Km 20, Ha Noi Highway, Linh Trung Ward, Thu Duc, HCMC 70000, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"98","reference":[{"key":"12","year":"2001"},{"key":"16","year":"2004"},{"key":"20","first-page":"3","volume-title":"Differential GPS","volume":"2","year":"1996"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1029\/2007JB005194"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1515\/JAG. 2009. 009"},{"issue":"2","key":"13","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1002\/j.2161-4296.1999.tb02401.x","volume":"46","year":"1999","journal-title":"Navigation"},{"key":"18","year":"2006"},{"key":"10","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1007\/PL00012838","volume":"4","year":"2000","journal-title":"GPS Solutions"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1007\/s10291-010-0165-9"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1029\/2006JB004367"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.1007\/s00190-009-0352-z"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1007\/s10291-012-0285-5"},{"key":"19","first-page":"3","volume-title":"Introduction and heritage of NAVSTAR, the Global Positioning System","volume":"1","year":"1996"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1029\/2007RS003652"},{"issue":"12","key":"6","first-page":"28223","volume":"105","year":"2000","journal-title":"Journal of Geophysical Research B"},{"issue":"3","key":"11","first-page":"3261","volume":"97","year":"1992","journal-title":"Journal of Geophysical Research"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1023\/B:STCO.0000035301.49549.88"},{"key":"25","year":"1995"},{"key":"4","year":"1996"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1029\/2004GL021621"}],"container-title":["Advances in Artificial Neural Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/archive\/2013\/240564.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/archive\/2013\/240564.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/archive\/2013\/240564.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T12:10:36Z","timestamp":1607602236000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/aans\/2013\/240564\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,3,5]]},"references-count":20,"alternative-id":["240564","240564"],"URL":"https:\/\/doi.org\/10.1155\/2013\/240564","relation":{},"ISSN":["1687-7594","1687-7608"],"issn-type":[{"value":"1687-7594","type":"print"},{"value":"1687-7608","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,3,5]]}}}