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|Title:||A time domain eigen value method for robust indoor localization||Authors:||Roshan, G.M.
Location based fingerprinting
Time of arrival estimation
|Issue Date:||2010||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. https://doi.org/10.1109/WTS.2010.5479664||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.||Source Title:||2010 Wireless Telecommunications Symposium, WTS 2010||URI:||http://scholarbank.nus.edu.sg/handle/10635/69107||ISBN:||9781424465576||DOI:||10.1109/WTS.2010.5479664|
|Appears in Collections:||Staff Publications|
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