DocumentCode :
1303253
Title :
Effects of sampling and quantization on single-tone frequency estimation
Author :
Høst-Madsen, Anders ; Handel, Peter
Author_Institution :
Kwangju Inst. of Sci. & Technol., South Korea
Volume :
48
Issue :
3
fYear :
2000
fDate :
3/1/2000 12:00:00 AM
Firstpage :
650
Lastpage :
662
Abstract :
The effects of sampling and quantization on frequency estimation for a single sinusoid are investigated. The Cramer-Rao bound for 1-bit quantization is derived and compared with the limit of infinite quantization. It is found that 1-bit quantization gives a slightly worse performance, however, with a dramatic increase of variance at certain frequencies. This can be avoided by using four times oversampling. The effect of sampling when using nonideal antialiasing lowpass filters is therefore investigated through derivation of the Cramer-Rao lower bounds. Finally, fast estimators for 1-bit quantization, in particular, correlation-based estimators, are derived, and their performance is investigated. The paper is concluded with simulation results for four times oversampled 1-bit quantization
Keywords :
Gaussian noise; correlation methods; filtering theory; frequency estimation; low-pass filters; quantisation (signal); signal sampling; Cramer-Rao bound; Cramer-Rao lower bounds; additive Gaussian noise; cisoid; complex-valued sinusoid; correlation-based estimators; digital processing; fast estimators; four times oversampled 1-bit quantization; infinite quantization; nonideal antialiasing lowpass filters; performance; sampling; simulation results; single sinusoid; single-tone frequency estimation; Additive noise; Filters; Frequency estimation; Gaussian noise; Maximum likelihood estimation; Parameter estimation; Phase estimation; Quantization; Sampling methods; Signal to noise ratio;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.824661
Filename :
824661
Link To Document :
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