Statistical analysis of high-accuracy measurement of radio-frequency carrier signals from DFT spectra

Author

Novak, I.

Author_Institution

Design Autom. Inc., Lexington, MA, USA

fYear

1990

fDate

11-14 June 1990

Firstpage

434

Lastpage

435

Abstract

Coarse and fine search methods for the automatic recognition and high-precision measurement of closely spaced sinusoidal signals are described. The application of the methods to field-strength and frequency measurements of radio-frequency signals is considered. The false-alarm rate and detection probability are calculated for the coarse search. The bias and variance of the fine-search algorithm are obtained using sensitivity functions. Significant improvement of system performance was achieved by the coarse-search (automatic signal identification) and fine-search (reduction of measuring time vs. increased accuracy) algorithms.<>

Keywords

fast Fourier transforms; frequency measurement; pattern recognition; probability; signal detection; signal processing; spectral analysis; statistical analysis; 1 Hz to 20 kHz; DFT spectra; FFT; automatic recognition; automatic signal identification; bias; broadcasting bands monitoring; closely spaced sinusoidal signals; coarse search; detection probability; false-alarm rate; field strength measurement; fine-search algorithm; frequency measurements; high-precision measurement; interpolation; radio-frequency carrier signals; sensitivity functions; signal detection; variance; Frequency measurement; Probability; RF signals; Radio frequency; Radiofrequency identification; Search methods; Signal processing; Statistical analysis; System performance; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Precision Electromagnetic Measurements, 1990. CPEM '90 Digest., Conference on

Conference_Location

Ottawa, Ontario, Canada

Type

conf

DOI

10.1109/CPEM.1990.110093

Filename

110093