Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDSP.2009.5201089
Title: Versatile algorithms for accurate indoor geolocation
Authors: Godaliyadda, G.M.R.I.
Garg, H.K. 
Keywords: Indoor geolocation
Location based fingerprinting
Super resolution
Time of arrival estimation
UWB
Issue Date: 2009
Source: 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
URI: http://scholarbank.nus.edu.sg/handle/10635/72154
ISBN: 9781424432981
DOI: 10.1109/ICDSP.2009.5201089
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