Please use this identifier to cite or link to this item:
|Title:||Versatile algorithms for accurate indoor geolocation|
Location based fingerprinting
Time of arrival estimation
|Citation:||Godaliyadda, G.M.R.I.,Garg, H.K. (2009). Versatile algorithms for accurate indoor geolocation. DSP 2009: 16th International Conference on Digital Signal Processing, Proceedings : -. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDSP.2009.5201089|
|Abstract:||This paper tackles the challenging problem of accurate indoor geolocation for UWB systems in hazardous multipath environments through three versatile super resolution techniques: time domain MUSIC (Multiple Signal Classification), frequency domain MUSIC algorithms and frequency domain EV (Eigen Value) method. The resultant pseudo-spectrums generated by these algorithms can be used for positioning in both LOS (through accurate time delay estimation) and Non-LOS (by using the resolved multipath profile as a fingerprint for location based fingerprinting techniques) environments. The impact of Eigen value de-weighting on multipath resolvability is demonstrated and its practical implications highlighted. The superior noise immunity of the time domain MUSIC algorithm is verified and introduced as a prime candidate for noisy Non-LOS environments. Finally the spectral leakage effect of the time domain MUSIC algorithm is used to our advantage to generate variants of the algorithm to provide better positioning accuracy for relatively low bandwidth conditions. © 2009 IEEE.|
|Source Title:||DSP 2009: 16th International Conference on Digital Signal Processing, Proceedings|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 10, 2019
checked on Jan 12, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.