Cramer-Rao Bound Analysis for Frequency Estimation of Sinusoids in Noise
Abstract
The Cramer-Rao inequality is used to determine a lower bound on the variance with which a sinusoidal frequency can be estimated in the presence of Gaussian white noise. A parametric study has elucidated the influence of number of samples (N), sampling frequency (1/delta), phase (phi), and signal-to-noise ratio on the Cramer-Rao bound. A closed form expression for the asymptotic level to which the Cramer-Rao bound decays is characterized and, for low frequencies, the bound is determined analytically and graphically. The form of the Cramer-Rao bound is linked to resolution in the sampling problem. Identification of trade- offs characterizing the sensitivity of the bound and parameters associated with it are discussed.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 24, 1986
- Accession Number
- ADA167992
Entities
People
- Joy M. Skon
Organizations
- Massachusetts Institute of Technology