Title :
Analysis of super resolution Spectral Estimation Techniques for indoor positioning applications
Author :
Godaliyadda, G. M Roshan Indika ; Garg, Hari K.
Author_Institution :
Nat. Univ. of Singapore, Singapore
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 ldquospectral leakagerdquo phenomenon observed in the time domain MUSIC algorithm was studied as a possible alternative for low BW environments.
Keywords :
eigenvalues and eigenfunctions; frequency-domain analysis; signal classification; signal resolution; time-domain analysis; time-of-arrival estimation; TOA estimation; eigen value method; frequency domain EV method; frequency domain method; indoor positioning applications; multiple signal classification; spectral leakage; super resolution spectral estimation techniques; time domain MUSIC algorithms; time-of-arrival parameter; Acoustic noise; Algorithm design and analysis; Bandwidth; Classification algorithms; Frequency domain analysis; Multiple signal classification; Signal processing; Signal resolution; Time of arrival estimation; Working environment noise;
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
DOI :
10.1109/ICOSP.2008.4697666
