DOA estimation using beamspace root-music based estimator bank
DOI:
https://doi.org/10.1109/ICATT.2017.7972665Keywords:
DOA estimation, resampling, array processing with superresolutionAbstract
The estimator bank approach allows improving the performance of direction of arrival (DOA) estimation in the area of low signal-to-noise ratio. In the paper, the estimator bank is formed from the modified Beamspace Root-MUSIC estimator using resampling by adding pseudo-noise. The illumination of outlying roots of the modified beamspace Root-MUSIC polynomial is used instead of elimination of entire estimator.References
A. B. Gershman and N. D. Sidiropoulos (eds.), Space-Time Processing for MIMO Communications. John Wiley &Sons, 2005. 390 p.
M. Shaghaghi and S. A. Vorobyov, “Iterative root-MUSIC algorithm for DOA estimation,” Proc. of CAMSAP, 15-18 Dec. 2013, Saint Martin, France. IEEE, 2014, pp. 53-56. DOI: http://doi.org/10.1109/CAMSAP.2013.6714005.
M. D. Zoltowski, G. M. Kautz, S. D. Silverstein, “Beamspace root-MUSIC,” IEEE Trans. Signal Process., vol. 41, no. 1, p. 344-364, 1993. DOI: http://doi.org/10.1109/TSP.1993.193151.
A. B. Gershman, “Direction finding using beamspace estimator banks,” IEEE Trans. Signal Process., vol. 46, no. 11, p. 3131-3135, 1998. DOI: http://doi.org/10.1109/78.726831.
V. Vasylyshyn, “Direction finding with superresolution using root implementation of eigenstructure techniques and joint estimation strategy,” Proc. of 7th Eur. Conf. on Wireless Technology, 11-12 Oct. 2004, Amsterdam, Netherlands. IEEE, 2004, pp. 317-320. URL: http://ieeexplore.ieee.org/document/1394780/.
A. B. Gershman and J. F. Bohme, “A pseudo-noise approach to direction finding,” Signal Processing, vol. 71, no. 1, p. 1-13, 1998. DOI: http://doi.org/10.1016/S0165-1684(98)00130-3.
V. Vasylyshyn, “Removing the outliers in root-MUSIC via pseudo-noise resampling and conventional beamformer,” Signal Processing, vol. 93, no. 12, p. 3423-3429, 2013. DOI: http://doi.org/10.1016/j.sigpro.2013.05.026.
P. Yu. Kostenko and V. I. Vasylyshyn, “Signal processing correction in spectral analysis using the surrogate autocovariance observation functions obtained by the ATS-algorithm,” Radioelectron. Commun. Syst., vol. 57, no. 6, p. 235-243, 2014. DOI: http://doi.org/10.3103/S0735272714060016.
A. B. Gershman and M. Haardt, “Improving the performance of Unitary ESPRIT via pseudo-noise resampling,” IEEE Trans. Signal Process., vol. 47, n. 8, p. 2305-2308, 1999. DOI: http://doi.org/10.1109/78.774774.
V. Vasylyshyn, “Improved beamspace ESPRIT-based DOA estimation via pseudo-noise resampling,” Proc. of 9th European Radar Conf., 31 Oct.-2 Nov. 2012, Amsterdam, Netherlands. IEEE, 2012, pp. 238-241. URL: http://ieeexplore.ieee.org/document/6450739/.
C. Qian, L. Huang, and H. C. So, “Improved unitary root-MUSIC for DOA estimation based on pseudo-noise resampling,” IEEE Signal Process. Lett., vol. 21, no. 2, p. 140-144, 2014. DOI: http://doi.org/10.1109/LSP.2013.2294676.
V. I. Vasylyshyn, “Sensor array processing using pseudo-noise resampling,” Proc. ICATT, 21-24 Apr. 2015, Kharkiv, Ukraine. IEEE, 2015, p. 176-178. DOI: http://doi.org/10.1109/ICATT.2015.7136820.
V. I. Vasylyshyn, “Adaptive variant of the surrogate data technology for enhancing the effectiveness of signal spectral analysis using eigenstructure methods,” Radioelectron. Commun. Syst., vol. 58, no. 3, 116–126, 2015. DOI: http://doi.org/10.3103/S0735272715030036.
