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On the Validity of the Noise Model of Quantization for the Frequency-Domain Amplitude Estimation of Low-Level Sine Waves

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Języki publikacji
EN
Abstrakty
EN
This paper deals with the amplitude estimation in the frequency domain of low-level sine waves, i.e. sine waves spanning a small number of quantization steps of an analog-to-digital converter. This is a quite common condition for high-speed low-resolution converters. A digitized sine wave is transformed into the frequency domain through the discrete Fourier transform. The error in the amplitude estimate is treated as a random variable since the offset and the phase of the sine wave are usually unknown. Therefore, the estimate is characterized by its standard deviation. The proposed model evaluates properly such a standard deviation by treating the quantization with a Fourier series approach. On the other hand, it is shown that the conventional noise model of quantization would lead to a large underestimation of the error standard deviation. The effects of measurement parameters, such as the number of samples and a kind of the time window, are also investigated. Finally, a threshold for the additive noise is provided as the boundary for validity of the two quantization models.
Rocznik
Strony
89--100
Opis fizyczny
Bibliogr. 13 poz., rys., wyk., wzory
Twórcy
autor
  • Politecnico di Milano, Department of Electronics, Information and Bioengineering, piazza Leonardo da Vinci 32, 20133 Milan, Italy
Bibliografia
  • [1] So, H. C., Chan, Y. T., Ma, Q., Ching, P. C. (1999). Comparison of various periodograms for sinusoid detection and frequency estimation. IEEE Trans. Aerospace and Electronic Systems, 35(3), 945-952.
  • [2] Moschitta, A., Carbone, P. (2007). Cramer-Rao Lower Bound for Parametric Estimation of Quantized Sinewaves. IEEE Trans. on Instrum. Meas., 56(3), 975-982.
  • [3] Belega, D., Dallet, D., Slepicka, D. (2010). Accurate Amplitude Estimation of Harmonic Components of Incoherently Sampled Signals in the Frequency Domain. IEEE Trans. Instrum. Meas., 59(5), 1158-1166.
  • [4] Gray, R.M. (1990). Quantization noise spectra. IEEE Trans. Information Theory, 36(6), 1220-1244.
  • [5] Petri, D. (2002). Frequency-domain testing of waveform digitizers. IEEE Trans. Instrum. Meas., 51(3), 445-453.
  • [6] Solomon, O. M. (1992). The effects of windowing and quantization error on the amplitude of frequencydomain functions. IEEE Trans. Instrum. Meas., 41(6), 932-937.
  • [7] Bellan, D., Brandolini, A., Gandelli, A. (1999). Quantization Theory - a Deterministic Approach. IEEE Trans. Instrum. and Measurement, 48(1), 18-25.
  • [8] Bellan, D. (2000). Model for the Spectral Effects of ADC Nonlinearity. Measurement, 28(2), 65-76.
  • [9] Hejn, K., Pacut, A. (2003). Effective Resolution of Analog to Digital Converters. IEEE Instrum. & Meas. Magazine, 9, 48-55.
  • [10] Bellan, D. (2013). Detection and Estimation of Weak Sine Waves with Random Offset and Additive Noise. In Proc. of IEEE International Conference on Instrumentation, Communication, Information Technology and Biomedical Engineering (ICICI-BME 2013). Bandung, Indonesia, 1-6.
  • [11] Harris, F. J. (1978). On the use of windows for harmonic analysis with the discrete Fourier transform. Proceedings of the IEEE, 66(1), 51-83.
  • [12] Gupta, S., Paliakara, V. (October 2011). Understanding Low-Amplitude Behavior of 11-bit ADCs, Texas Instruments, Application Report SBOA133.
  • [13] Carbone, P., Petri, D. (1994). Effect of additive dither on the resolution of ideal quantizers. IEEE Trans. Instrum. Meas., 43(3), 389-396.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-13a50840-b3da-4307-9343-a230b4073ec5
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