Title :
An adaptive window function method for power measurement
Author :
Zhang, Jian Qiu ; Ovaska, Seppo J.
Author_Institution :
Sch. of Eng., Greenwich Univ., Chatham, UK
fDate :
12/1/2000 12:00:00 AM
Abstract :
An adaptive window function for distorted power measurement is introduced in this paper. It can automatically provide the optimal window function according to the measured signal. Thus, the applied window function is always optimal in the sense of the zeros of its frequency response corresponding to the undesired measured signal spectrum components which will result in the harmful truncation errors. As a result, the harmful truncation errors of asynchronous sampling and the influence of interharmonics in the measured signal spectrum can be totally eliminated. The correctness, accuracy, and applicability of the proposed method have been verified both theoretically and by extensive simulations
Keywords :
FIR filters; Gaussian noise; adaptive estimation; filtering theory; frequency response; mean square error methods; measurement errors; poles and zeros; power measurement; signal sampling; FIR filtering; Gaussian noise; adaptive identification; adaptive window function method; asynchronous sampling; distorted power measurement; frequency response; interharmonics elimination; mean square error; measurement errors; optimal window function; truncation errors; Distortion measurement; Finite impulse response filter; Finite wordlength effects; Frequency measurement; Frequency response; Helium; Power measurement; Sampling methods; Time domain analysis; Wattmeters;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on