Title :
Performance of time of arrival estimation based on signal eigen vectors
Author :
Krasny, Leonid ; Koorapaty, Havish
Author_Institution :
Ericsson Inc., Research Triangle Park, NC, USA
Abstract :
Multiple signal identification and classification (MUSIC) is a well known approach to time of arrival estimation of band-limited signals received through multi-path channels. MUSIC uses the eigen vectors of the correlation matrix for the received data that are associated with noise components. We compare the performance of MUSIC to an algorithm that is based on the eigen vectors associated with the signal components of this correlation matrix. The performance comparison is made using a simple two path channel model where the second path delay is assumed known and the statistics of the error in measuring the delay of the first path are compared. The optimal algorithm for this estimation problem is the maximum-likelihood algorithm (ML) and the performance of MUSIC and the signal eigen vectors algorithm are compared to the ML approach
Keywords :
bandlimited signals; delay estimation; eigenvalues and eigenfunctions; maximum likelihood estimation; multipath channels; signal classification; MUSIC; band-limited signals; correlation matrix; error; maximum-likelihood algorithm; multi-path channels; multiple signal identification and classification; noise components; path delay; signal eigen vectors; signal eigen vectors algorithm; time of arrival estimation; two path channel model; Delay estimation; Error analysis; Maximum likelihood estimation; Multipath channels; Multiple signal classification; Sea measurements; Sensor arrays; Signal processing; Signal resolution; Time of arrival estimation;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2000. PIMRC 2000. The 11th IEEE International Symposium on
Conference_Location :
London
Print_ISBN :
0-7803-6463-5
DOI :
10.1109/PIMRC.2000.881626
