Digital spectral analysis: with applications
Digital spectral analysis: with applications
DOLPHIN: An Autonomous Indoor Positioning System in Ubiquitous Computing Environment
WSTFES '03 Proceedings of the IEEE Workshop on Software Technologies for Future Embedded Systems
Broadband Ultrasonic Location Systems for Improved Indoor Positioning
IEEE Transactions on Mobile Computing
Indoor geolocation science and technology
IEEE Communications Magazine
A time domain eigen value method for robust indoor localization
WTS'10 Proceedings of the 9th conference on Wireless telecommunications symposium
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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.