publication . Preprint . 2017

Wideband DOA Estimation through Projection Matrix Interpolation

Selva, J.;
Open Access English
  • Published: 26 Jun 2017
Abstract
This paper presents a method to reduce the complexity of the deterministic maximum likelihood (DML) estimator in the wideband direction-of-arrival (WDOA) problem, which is based on interpolating the array projection matrix in the temporal frequency variable. It is shown that an accurate interpolator like Chebyshev's is able to produce DML cost functions comprising just a few narrowband-like summands. Actually, the number of such summands is far smaller (roughly by factor ten in the numerical examples) than the corresponding number in the ML cost function that is derived by dividing the spectrum into separate bins. The paper also presents two spin-offs of the int...
Read more
Subjects
free text keywords: Computer Science - Information Theory
Download from
arXiv.org e-Print Archive
Preprint . 2017
Provider: arXiv.org e-Print Archive
22 references, page 1 of 2

[1] Harry L. van Trees, Detection, Estimation, and Modulation Theory. Part IV, Optimum array processing, John Wiley & Sons, Inc, first edition, 2002.

[2] H. Wang and M. Kaveh, “Coherent signal-subspace processing for the detection and estimation of angles of arrival of multiple wideband sources,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 33, no. 4, pp. 823-831, Aug 1985. [OpenAIRE]

[3] S. Valaee and P. Kabal, “Wideband array processing using a two-sided correlation transformation,” IEEE Transactions on Signal Processing, vol. 43, no. 1, pp. 160-172, Jan 1995.

[4] T. K. Yasar and T. E. Tuncer, “Wideband DOA estimation for nonuniform linear arrays with Wiener array interpolation,” in 2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop, July 2008, pp. 207-211.

[5] W. J. Zeng and X. L. Li, “High-resolution multiple wideband and nonstationary source localization with unknown number of sources,” IEEE Transactions on Signal Processing, vol. 58, no. 6, pp. 3125-3136, June 2010.

[6] M. Wax, Tie-Jun Shan, and T. Kailath, “Spatio-temporal spectral analysis by eigenstructure methods,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 32, no. 4, pp. 817-827, Aug 1984. [OpenAIRE]

[7] Yeo-Sun Yoon, L. M. Kaplan, and J. H. McClellan, “TOPS: new DOA estimator for wideband signals,” IEEE Transactions on Signal Processing, vol. 54, no. 6, pp. 1977-1989, June 2006.

[8] A. K. Shaw, “Improved wideband DOA estimation using modified TOPS (mTOPS) algorithm,” IEEE Signal Processing Letters, vol. 23, no. 12, pp. 1697-1701, Dec 2016.

[9] Sathish Chandran, Ed., Advances in Direction-of-Arrival Estimation, Artech House, 2006.

[10] Engin Tuncer and Benjamin Friedlander, Eds., Classical and modern direction-of-arrival estimation, Elsevier, 2009.

[11] M. A. Doron, A. J. Weiss, and H. Messer, “Maximum-likelihood direction finding of wide-band sources,” IEEE Transactions on Signal Processing, vol. 41, no. 1, pp. 411-414, Jan 1993.

[12] Lean Yip, Joe C. Chen, Ralph E. Hudson, and Kung Yao, “Cramer-Rao bound analysis of wideband source localization and DOA estimation,” in International Symposium on Optical Science and Technology. International Society for Optics and Photonics, 2002, pp. 304-316.

[13] L. Yip, C. E. Chen, R. E. Hudson, and K. Yao, “DOA estimation method for wideband color signals based on least-squares joint approximate diagonalization,” Proceedings of Sensor Array and Multichannel Signal Processing, pp. 104-107, 2008.

[14] Joe C. Chen, Ralph E. Hudson, and Kung Yao, “Maximum-likelihood source localization and unknown sensor location estimation for wideband signals in the near-field,” IEEE Transactions on Signal Processing, vol. 50, no. 8, pp. 1843-1854, 2002.

[15] John C. Mason and David C. Handscomb, Chebyshev polynomials, CRC Press, 2002.

22 references, page 1 of 2
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue