Title :
Subspace-based estimation of time of arrival and Doppler shift for a signal of known waveform
Author_Institution :
Moscow aviation Inst. (state Tech. Univ.), Moscow
Abstract :
The subspace-based technique is used for the estimation of the time of arrival and Doppler shift of a signal of the known waveform. The tool to find required subspaces is a special orthogonal decomposition of received data. It allows concentrate Fisher information about desired parameter in a small number of the first terms of the decomposition. This approach offers a low-dimensional vector of sufficient statistics. It leads to computationally efficient Bayes estimation. Besides, it results in expanding of the SNR range for effective ML-estimating. At last, we can obtain independent time arrival and Doppler shift estimations on the base generalized eigenvectors of the matrix pair.
Keywords :
Bayes methods; Doppler shift; eigenvalues and eigenfunctions; matrix algebra; maximum likelihood estimation; time-of-arrival estimation; Bayes estimation; Doppler shift estimation; Fisher information; ML-estimation; SNR range; matrix pair eigenvectors; maximum likelihood estimation; received data orthogonal decomposition; statistic low-dimensional vector; subspace-based estimation; time-of-arrival estimation; waveform signal; Data analysis; Data models; Doppler shift; Matrix decomposition; Parameter estimation; Personal communication networks; Principal component analysis; State estimation; Statistics; Yield estimation; Doppler shift estimates; Time of arrival; subspace-based technique;
Conference_Titel :
Digital Communications - Enhanced Surveillance of Aircraft and Vehicles, 2008. TIWDC/ESAV 2008. Tyrrhenian International Workshop on
Conference_Location :
Capri
Print_ISBN :
978-88-903482-0-4
DOI :
10.1109/TIWDC.2008.4649033
