Simple test for distinguishing constant from time-varying amplitude in harmonic retrieval problems

In many harmonic retrieval problems, it is not known a priori whether the amplitude of the sinusoidal signals dealt with is constant or time varying. In such applications, a key problem, prior to or in conjunction with frequency estimation, is to decide between these two alternatives or hypotheses. A statistical test for this problem is derived, based on the statistics of the difference between two frequency estimates. The test is computationally efficient and yields, as a by-product, consistent frequency estimates under either hypothesis. Numerical examples are included to show the performance of the proposed test.

[1]  Peter Gerstoft,et al.  Inversion of acoustic data using a combination of genetic algorithms and the Gauss–Newton approach , 1995 .

[2]  D. Zrnic,et al.  Doppler Radar and Weather Observations , 1984 .

[3]  G. Tong Zhou A statistical test to discern random from constant amplitude harmonics , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[4]  Petre Stoica,et al.  Introduction to spectral analysis , 1997 .

[5]  Daniel R. Fuhrmann,et al.  Array calibration by Fourier series parameterization: scaled principal components method , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[6]  L. Scharf,et al.  Statistical Signal Processing: Detection, Estimation, and Time Series Analysis , 1991 .

[7]  H. V. Trees Detection, Estimation, And Modulation Theory , 2001 .

[8]  Björn E. Ottersten,et al.  Detection and estimation in sensor arrays using weighted subspace fitting , 1991, IEEE Trans. Signal Process..

[9]  Petre Stoica,et al.  Sinusoidal signals with random amplitude: least-squares estimators and their statistical analysis , 1995, IEEE Trans. Signal Process..

[10]  Petre Stoica,et al.  Statistical analysis of two nonlinear least-squares estimators of sine-wave parameters in the colored-noise case , 1989 .

[11]  Petre Stoica,et al.  Maximum likelihood estimation of the parameters of multiple sinusoids from noisy measurements , 1989, IEEE Trans. Acoust. Speech Signal Process..

[12]  Bjorn Ottersten,et al.  Local modeling and robust estimation for high-resolution direction finding , 1991, [1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers.

[13]  Petre Stoica,et al.  Frequency estimation and detection for sinusoidal signals with arbitrary envelope: a nonlinear least-squares approach , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[14]  Mostafa Kaveh,et al.  Experimental performance of calibration and direction-finding algorithms , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[15]  Olivier Besson,et al.  Analysis of MUSIC and ESPRIT frequency estimates for sinusoidal signals with lowpass envelopes , 1996, IEEE Trans. Signal Process..