Title :
Error bounds for estimating bandpassed FM signals
Author_Institution :
Naval Res. Lab., Washington, DC, USA
Abstract :
Presented here are general limits on bandpass filter performance as a denoising step for parameter estimation. Monocomponent analytic FM signals in white Gaussian noise are assumed. Analytic and numerical evidence is presented to support the argument that the Gaussian filter can be used as a canonical bandpass filter for the purpose of such an analysis. Simple, approximate Cramer-Rao bound formulas for amplitude, phase and IF estimates are presented for limiting cases.
Keywords :
AWGN; amplitude estimation; approximation theory; band-pass filters; filtering theory; frequency estimation; frequency modulation; phase estimation; Gaussian filter; IF estimate; amplitude estimate; approximate Cramer-Rao bound formulas; bandpass filter performance; bandpassed FM signals estimation; canonical bandpass filter; denoising; error bounds; instantaneous frequency; monocomponent analytic FM signals; parameter estimation; phase estimate; white Gaussian noise; Amplitude estimation; Band pass filters; Frequency estimation; Frequency modulation; Gaussian noise; Noise reduction; Noise shaping; Parameter estimation; Phase estimation; Signal analysis;
Conference_Titel :
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7576-9
DOI :
10.1109/ACSSC.2002.1196934
