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NOISE INFLUENCE ON ESTIMATION OF SIGNAL PARAMETER FROM THE PHASE DIFFERENCE OF DISCRETE FOURIER TRANSFORMS

✍ Scribed by L.-M. ZHU; H.-X. LI; H. DING; Y.-L. XIONG


Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
318 KB
Volume
16
Category
Article
ISSN
0888-3270

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✦ Synopsis


This paper investigates the noise influence on the performance of the phase-differencebased signal parameter estimation method. The circular nature of the estimators that may be harmful to parameter estimation is explored, and a simple strategy to unwrap the circular estimators is proposed. Analytical expressions of the estimator variances, which allow both the evaluation of the result accuracy and the design of the measurement procedure, are derived, and they indicate that for noisy signals, comparing with the popular interpolation-based method, the phase-difference-based method provides superior accuracy in frequency and phase estimates, and approximately equal accuracy in amplitude estimates. Simulation results confirm the validity of the presented analysis.