Phase difference method for DOA estimation

Zhi-fei Chen , Jin-cai Sun , Hong Hou

Journal of Marine Science and Application ›› 2010, Vol. 9 ›› Issue (4) : 445 -450.

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Journal of Marine Science and Application ›› 2010, Vol. 9 ›› Issue (4) : 445 -450. DOI: 10.1007/s11804-010-1032-3
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Phase difference method for DOA estimation

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Abstract

The phase difference method (PDM) is presented for the direction of arrival (DOA) estimation of the narrowband source. It estimates the DOA by measuring the reciprocal of the phase range of the sensor output spectra at the interest frequency bin. The peak width and variance of the PDM are presented. The PDM can distinguish closely spaced sources with different and unknown center frequencies as long as they are separated with at least one frequency bin. The simulation results show that the PDM has a better resolution than that of the conventional beamforming.

Keywords

direction of arrival(DOA) / phase difference / peak width / variance / resolution

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Zhi-fei Chen, Jin-cai Sun, Hong Hou. Phase difference method for DOA estimation. Journal of Marine Science and Application, 2010, 9(4): 445-450 DOI:10.1007/s11804-010-1032-3

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References

[1]

Bird J.S., Mullins G.K. Analysis of swath bathymetry sonar accuracy. IEEE Journal of Oceanic Engineering, 2005, 30(2): 372-390

[2]

Carter G.C. Coherence and time delay estimation. Proceedings of the IEEE, 1987, 75(2): 236-255

[3]

Daeyoung K., Narasimha M.J., Cox D.C. An improved single frequency estimator. IEEE Signal Processing Letters, 1996, 3(7): 212-214

[4]

Fowler M.L. Phase-based frequency estimation: a review. Digital Signal Processing, 2002, 12(4): 590-615

[5]

Fowler M.L., Johnson J.A. Extending the threshold and frequency range for phase-based frequency estimation. IEEE Transactions on Signal Processing, 1999, 47(10): 2857-2863

[6]

Hobiger T., Sekido M., Koyama Y., Kondo T. Integer phase ambiguity estimation in next-generation geodetic very long baseline interferometry. Advances in Space Research, 2009, 43(1): 187-192

[7]

Jin W (2008). Modification of frequency estimation algorithms for sinusoidal signals based on phase difference of overlap FFT. International Conference on Communications, Circuits and Systems, 927–929.

[8]

Kay S.M. A fast and accurate single frequency estimator. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1989, 37(12): 1987-1990

[9]

Kay S.M. Fundamentals of statistical signal processing: estimation theory, 1993, New Jersey, USA: Prentice-Hall

[10]

Lurton X. Swath bathymetry using phase difference: theoretical analysis of acoustical measurement precision. IEEE Journal of Oceanic Engineering, 2000, 25(3): 351-363

[11]

Pawula R.F. Distribution of the phase angle between two vectors perturbed by Gaussian noise II. IEEE Transactions on Vehicular Technology, 2001, 50(2): 576-583

[12]

Pawula R.F., Rice S.O., Roberts J.H. Distribution of the phase angle between two vectors perturbed by Gaussian noise. IEEE Transactions on Communications, 1982, 30(8): 1828-1841

[13]

Shieh C.S., Lin C.T. Direction of arrival estimation based on phase differences using neural fuzzy network. IEEE Transactions on Antennas and Propagation, 2000, 48(7): 1115-1124

[14]

Umesh S, Nelson D (1996). Computationally efficient estimation of sinusoidal frequency at low SNR. IEEE International Conference on Acoustics, Speech, and Signal Processing, Atlanta, Georgia, 2797–2800.

[15]

Xiao Y.C., Wei P., Tai H.M. Autocorrelation-based algorithm for single-frequency estimation. Signal Processing, 2007, 87(6): 1224-1233

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