DOI QR코드

DOI QR Code

Joint Time Delay and Angle Estimation Using the Matrix Pencil Method Based on Information Reconstruction Vector

  • Li, Haiwen (China National Digital Switching System Engineering and Technological Research Center) ;
  • Ren, Xiukun (China National Digital Switching System Engineering and Technological Research Center) ;
  • Bai, Ting (China National Digital Switching System Engineering and Technological Research Center) ;
  • Zhang, Long (China National Digital Switching System Engineering and Technological Research Center)
  • 투고 : 2018.03.02
  • 심사 : 2018.07.18
  • 발행 : 2018.12.31

초록

A single snapshot data can only provide limited amount of information so that the rank of covariance matrix is not full, which is not adopted to complete the parameter estimation directly using the traditional super-resolution method. Aiming at solving the problem, a joint time delay and angle estimation using matrix pencil method based on information reconstruction vector for orthogonal frequency division multiplexing (OFDM) signal is proposed. Firstly, according to the channel frequency response vector of each array element, the algorithm reconstructs the vector data with delay and angle parameter information from both frequency and space dimensions. Then the enhanced data matrix for the extended array element is constructed, and the parameter vector of time delay and angle is estimated by the two-dimensional matrix pencil (2D MP) algorithm. Finally, the joint estimation of two-dimensional parameters is accomplished by the parameter pairing. The algorithm does not need a pseudo-spectral peak search, and the location of the target can be determined only by a single receiver, which can reduce the overhead of the positioning system. The theoretical analysis and simulation results show that the estimation accuracy of the proposed method in a single snapshot and low signal-to-noise ratio environment is much higher than that of Root Multiple Signal Classification algorithm (Root-MUSIC), and this method also achieves the higher estimation performance and efficiency with lower complexity cost compared to the one-dimensional matrix pencil algorithm.

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참고문헌

  1. K. Huo, and J. Zhao, "The development and prospect of the new OFDM radar," Journal of Electronics & Information Technology, vol. 37, no. 11, pp. 2776-2789, Nov. 2015.
  2. Z. Na, Q. Guan, and C. Fu, "Channel model and throughput analysis for LEO OFDM satellite communication system," International Journal of Future Generation Communication & Networking, vol. 6, no. 6, pp. 109-122, 2013. https://doi.org/10.14257/ijfgcn.2013.6.6.12
  3. P. Zhang, Y. Z. Tao, and Z. Zhang, "Survey of several key technologies for 5G," Journal on Communications, vol. 37, no. 7, pp. 15-29, Jul. 2016.
  4. A. Makki, A. Siddig, M. Saad, J. R. Cavallaro, and C. J. Bleakley, "High-resolution time of arrival estimation for OFDM-based transceivers," Electron. Lett., vol. 51, no. 3, pp. 294-296, Feb. 2015. https://doi.org/10.1049/el.2014.3677
  5. J. A. D. Peral-Rosado, J. A. Lopez-Salcedo, G. Seco-Granados, F. Zanier, and M. Crisci, "Joint maximum likelihood time-delay estimation for LTE positioning in multipath channels," EURASIP Journal on Advances in Signal Processing. vol. 2014, no. 33, pp. 1-13, 2014. https://doi.org/10.1186/1687-6180-2014-1
  6. X. Li, and K. Pahlavan, "Super-resolution TOA estimation with diversity for indoor geolocation," IEEE Trans. Wireless Commun., vol. 3, no. 1, pp. 224-234, Jan. 2004. https://doi.org/10.1109/TWC.2003.819035
  7. Z. He, Y. Ma, and R. Tafazolli, "Improved high resolution TOA estimation for OFDM-WLAN based indoor ranging," IEEE Wireless Commun. Lett., vol. 2, no. 2, pp. 163-166, Apr. 2013. https://doi.org/10.1109/WCL.2012.122612.120802
  8. H. Ni, G. Ren, and Y. Chang, "A TDOA location scheme in OFDM based WLANs," IEEE Trans. Consumer Electron., vol. 54, no. 3, pp.1017-1021, Jun. 2008. https://doi.org/10.1109/TCE.2008.4637581
  9. A. Makki, A. Siddig, M. Saad, J. R. Cavallaro, and C. J. Bleakley, "Indoor localization using 802.11 time differences of arrival," IEEE Trans. Instrum. Meas., vol. 65, no. 3, pp. 614-623, Mar. 2016. https://doi.org/10.1109/TIM.2015.2506239
  10. R. Shafin, L. Liu, Y. Li, A. Wang, and J. Zhang, "Angle and delay estimation for 3-D massive MIMO/FD-MIMO systems based on parametric channel modeling," IEEE Trans. Wireless Commun., vol. 16, no. 8, pp. 5370-5383, Aug. 2017. https://doi.org/10.1109/TWC.2017.2710046
  11. F. Q. Wang, X. F. Zhang, and F. Wang, "Root-MUSIC-based joint TOA and DOA estimation in IR-UWB," Journal on Communications, vol. 35, no. 2, pp. 137-145, Feb. 2014.
  12. B. Zhou, C. Jing, and Y. Kim, "Joint TOA/AOA positioning scheme with IP-OFDM system," Wireless Personal Communication, vol. 75, no. 1, pp. 261-271, 2014. https://doi.org/10.1007/s11277-013-1361-z
  13. B. Ba, G. Liu, T. Li, Y. Lin, and Y. Wang, "Joint for time of arrival and direction of arrival estimation algorithm based on the subspace of extended hadamard product," Acta Phys. Sin. vol. 64, no. 7, pp. 0784031-0784039, 2015.
  14. Y. Hua and T. K. Sarkar, "Matrix pencil method for estimating parameters for exponentially damped/undamped sinusoids in noise," IEEE Trans. Acoustic, Speech, Signal Process., vol. 38, no. 5, pp.814-824, May 1990. https://doi.org/10.1109/29.56027
  15. N. Yilmazer, J. Koh, and T. K. Sarkar, "Utilization of a unitary transform for efficient computation in the matrix pencil method to find the direction of arrival," IEEE Trans. Antennas Propagat., vol. 54, no.1, pp.175-181, Jan. 2006. https://doi.org/10.1109/TAP.2005.861567
  16. A. Gaber and A. Omar, "A study of TDOA estimation using matrix pencil algorithms and IEEE 802.11ac," in Proc. of IEEE Proc. Ubiquitous Positioning, Indoor Navigat., Location Based Service (UPINLBS), pp. 1-8, Oct. 2012.
  17. Y. Hua, "Estimating two-dimensional frequencies by matrix enhancement and matrix pencil," IEEE Trans. Signal Process., vol. 40, no. 9, pp. 2267-2280, Sep. 1992. https://doi.org/10.1109/78.157226
  18. N. Yilmazer, and T. K. Sarkar, "2-D unitary matrix pencil method for efficient direction of arrival estimation," Digital Signal Process., vol. 16, pp.767-781, Jan. 2006. https://doi.org/10.1016/j.dsp.2006.06.005
  19. R. Ding, Z. H. Qian, and X. Wang, "UWB Positioning System Based on Joint TOA and DOA Estimation," Journal of Electronics & Information Technology, vol. 32, no. 2, pp. 313-317, Feb. 2010. https://doi.org/10.3724/SP.J.1146.2009.00140
  20. Y. Wang, J. W. Chen, and Z. Liu, "Comments on estimation of frequencies and damping factors by Two-Dimensional ESPRIT type methods," IEEE Trans. Signal Process., vol. 53, no. 8, pp. 3348-3349, Aug. 2005. https://doi.org/10.1109/TSP.2005.851184
  21. M. C. Vanderveen, A.-J. van der Veen, and A. Paulraj, "Estimation of multipath parameters in wireless communications," IEEE Trans. Signal Process., vol. 46, no. 3, pp. 682-690, Mar. 1998. https://doi.org/10.1109/78.661335
  22. P. Stoica and A. Nehorai, "Music, maximum likelihood, and cramer-rao bound," IEEE Trans. Acoust., Speech, Signal Process., vol. 37, no. 5, pp. 720-741, May 1989. https://doi.org/10.1109/29.17564