Please use this identifier to cite or link to this item:
https://doi.org/10.1109/WTS.2010.5479664
DC Field | Value | |
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dc.title | A time domain eigen value method for robust indoor localization | |
dc.contributor.author | Roshan, G.M. | |
dc.contributor.author | Godaliyadda, I. | |
dc.contributor.author | Garg, H.K. | |
dc.date.accessioned | 2014-06-19T02:56:54Z | |
dc.date.available | 2014-06-19T02:56:54Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Roshan, G.M.,Godaliyadda, I.,Garg, H.K. (2010). A time domain eigen value method for robust indoor localization. 2010 Wireless Telecommunications Symposium, WTS 2010 : -. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/WTS.2010.5479664" target="_blank">https://doi.org/10.1109/WTS.2010.5479664</a> | |
dc.identifier.isbn | 9781424465576 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/69107 | |
dc.description.abstract | The hazardous nature of the indoor environment and the rapid growth of commercial indoor positioning systems have placed a significant emphasis on developing robust localization techniques. Our work focuses on developing super resolution techniques that can provide accurate time delay estimates under line-of-sight (LOS) conditions and generation of location information rich fingerprints that can be utilized for localization under non LOS conditions. First a detailed behavioral analysis of the subspace separation based super resolution algorithms is presented. Then we examine the newly introduced time domain eigen-value (TD-EV) method which effectively combines the time domain multiple signal classification (TD-MUSIC) and the frequency domain eigen-value (FD-EV) algorithms. This is done to secure the bandwidth versatility, superior path resolvability, and noise immunity of TD-MUSIC algorithm and FD-EV's ability to resurface underestimated local peaks submerged beneath the noise floor under constrained conditions. This makes TD-EV a prime candidate for accurate time delay estimation under severe multi-path and noise conditions prevalent in indoor environments. Additionally, these attributes provide a location information rich fingerprint from the resultant pseudo-spectrum output of our method for location based fingerprinting techniques. ©2010 IEEE. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/WTS.2010.5479664 | |
dc.source | Scopus | |
dc.subject | Indoor localization | |
dc.subject | Location based fingerprinting | |
dc.subject | Super resolution | |
dc.subject | Time of arrival estimation | |
dc.subject | Ultra-wideband | |
dc.type | Conference Paper | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.doi | 10.1109/WTS.2010.5479664 | |
dc.description.sourcetitle | 2010 Wireless Telecommunications Symposium, WTS 2010 | |
dc.description.page | - | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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