Please use this identifier to cite or link to this item:
|Title:||Analysis of super resolution Spectral estimation Techniques for indoor positioning applications|
|Citation:||Godaliyadda, G.M.R.I.,Garg, H.K. (2008). Analysis of super resolution Spectral estimation Techniques for indoor positioning applications. International Conference on Signal Processing Proceedings, ICSP : 2538-2541. ScholarBank@NUS Repository. https://doi.org/10.1109/ICOSP.2008.4697666|
|Abstract:||Proper estimation of the Time of Arrival (TOA) parameter in any indoor positioning application is of great importance. Thus utilization of Spectral Estimation Techniques for TOA estimation is of interest for indoor positioning research. A detailed study of the three main super resolution methods: frequency domain, time domain MUSIC (Multiple Signal Classification) algorithms and frequency domain EV (Eigen Value) method, as conducted here can provide valuable insight for researchers. For possible identification of application scenarios the algorithms were subjected to Bandwidth (BW) and Signal to Noise (SNR) variations and erroneous estimation of signal components. In addition the "Spectral Leakage" phenomenon observed in the time domain MUSIC algorithm was studied as a possible alternative for low BW environments. © 2008 IEEE.|
|Source Title:||International Conference on Signal Processing Proceedings, ICSP|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 19, 2019
checked on Dec 29, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.