Bias in Amplitude Estimation of a Sine Signal with Known Frequency due to the Rounding Quantization Noise

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Abstract:

Based on properties of quantization, a method is proposed to derive the bias in amplitude estimation of a sine signal with known frequency due to quantization noise by the rounding quantizer. For a selected quantization unit, the bias oscillates and decays with the signal amplitude, and the period of oscillation is just the quantization unit. Different quantizers may contribute to different biases. A comparison with the bias due to the rounding-down quantizer shows that the difference between them depends on the signal amplitude, and it tends to be small as the signal amplitude increases, not monotonically. Therefore, by choosing appropriate quantizer and quantization unit, the bias in estimated amplitude due to quantization noise will be decreased.

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318-323

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October 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] F. Corrêa Alegria: Measurement 42, 748-756 (2009).

Google Scholar

[2] K.F. Chen and Y.M. Xue: Measurement 41, 76-87 (2008).

Google Scholar

[3] IEEE Standard for Digitizing Waveform Recorders, IEEE Std, 1057- 2007 (2008).

Google Scholar

[4] IEEE Standard for terminology and test methods for analogy-to-digital converters, IEEE Std, 1241 (2000).

Google Scholar

[5] J.H. Gundlach and S.M. Merkowitz: Phys. Rev. Lett. 85, 2869-2872 (2000).

Google Scholar

[6] J. Luo, L.C. Tu, Z.K. Hu and E.J. Luan: Phys. Rev. Lett. 90, 081801 (2003).

Google Scholar

[7] J.H. Gundlach, G.L. Smith, E.G. Adelberger, B.R. Heckel and H.E. Swanson: Phys. Rev. Lett. 78 2523 (1997).

Google Scholar

[8] S. Baeßler, B.R. Heckel, E.G. Adelberger, J.H. Gundlach, U. Schmidt and H.E. Swanson: Phys. Rev. Lett. 83 3585 (1999).

DOI: 10.1103/physrevlett.83.3585

Google Scholar

[9] J.S. Bendat and A.G. Piersol: Random Data: Analysis and Measurement Procedures, Wiley, New York, (1971).

Google Scholar

[10] Y.L. Tian, Y. Tu and C.G. Shao: Rev. Sci. Instrum. 75, 1971 (2004).

Google Scholar

[11] J. Luo and D.H. Wang: Rev. Sci. Instrum. 79, 094705 (2008).

Google Scholar

[12] A. Pacut and K. Hejn: Comput. Stand. Interfaces. 25, 3-13 (2003).

Google Scholar

[13] B. Widrow and I. Kollár: Quantization Noise, Cambridge, UK: Cambridge University Press 3 (2008).

Google Scholar

[14] J. Luo, Y. Tian, D.H. Wang and C.G. Shao: Meas. Sci. Technol. 25, 055006 (2014).

Google Scholar

[15] D.H. Wang, J. Luo and K. Luo: Rev. Sci. Instrum. 77, 104501 (2006).

Google Scholar

[16] K.E. Iverson: A Programming Language, New York: Wiley, 12 (1962).

Google Scholar