Title :
Frequency-domain-based least-squares estimation of multifrequency signal parameters
Author :
Carbone, Paolo ; Nunzi, Emilia ; Petri, Dario
Author_Institution :
Dipt. di Ingegneria Elettronica e dell´´Inf., Perugia Univ., Italy
fDate :
6/1/2000 12:00:00 AM
Abstract :
This paper proposes 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 analysis are carried out on the algorithm accuracy while its performance is compared to the corresponding Cramer-Rao lower bound
Keywords :
amplitude estimation; discrete Fourier transforms; frequency-domain analysis; least squares approximations; phase estimation; signal sampling; spectral analysis; Cramer-Rao lower bound; DFT; Fourier-transformed data; algorithm accuracy; amplitude estimation; discrete-time samples; frequency-based least squares algorithm; frequency-domain-based estimation; joint information; multifrequency signal parameters; phase estimation; spectral analysis; Additive noise; Algorithm design and analysis; Amplitude estimation; Computational complexity; Discrete Fourier transforms; Fourier transforms; Frequency conversion; Frequency estimation; Least squares approximation; Phase estimation;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
