Title :
Frequency-domain based least-squares estimation of multifrequency signal parameters
Author :
Carbone, Paolo ; Nunzi, Emilia ; Petri, Dario
Author_Institution :
Dipt. di Elettronica e dell´´Inf., Perugia Univ., Italy
Abstract :
The authors propose in this paper a frequency-based least squares algorithm applied to the estimation of multifrequency signal parameters. It is based on the processing of the joint information carried by nearby frequency components of Fourier-transformed data. Theoretical and simulated analyses are carried out on the algorithm accuracy, while its performance is compared to the corresponding Cramer-Rao lower bounds
Keywords :
frequency-domain analysis; least squares approximations; signal resolution; Cramer-Rao lower bounds; Fourier-transformed data; frequency-domain based least-squares estimation; joint information; multifrequency signal parameters; nearby frequency components; Additive noise; Algorithm design and analysis; Analytical models; Computational complexity; Discrete Fourier transforms; Fourier transforms; Frequency estimation; Least squares approximation; Signal processing; Signal resolution;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE
Conference_Location :
Venice
Print_ISBN :
0-7803-5276-9
DOI :
10.1109/IMTC.1999.776997
