Joint delay and direction of arrivals estimation in mobile communications
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  • 作者:Dominic Grenier ; Bahareh Elahian…
  • 关键词:Joint TDOA ; DOA ; Channel estimation ; MUSIC algorithm ; MVDR algorithm ; Second order estimation
  • 刊名:Signal, Image and Video Processing
  • 出版年:2016
  • 出版时间:January 2016
  • 年:2016
  • 卷:10
  • 期:1
  • 页码:45-54
  • 全文大小:708 KB
  • 参考文献:1.Suryani, T., Hendrantoro, G.: Improvement in channel estimation and error rate performance in mobile cooperative ofdm systems with intercarrier interference. Int. J. Distrib. Sens. Netw. 2014 (2014). doi:10.​1155/​2014/​509896
    2.Yang, J., Lin, K., Zhao, X.: An improved channel estimation method based on jointly preprocessing of time-frequency domain in td-lte system. J. Netw. 9(4), 1047–1054 (2014)
    3.Hew, N., Zein, N.: Space-time estimation techniques for utra system. In: First International Conference on 3G Mobile Communication Technologies, ser., no. 471. IET, pp. 281–287 (2000)
    4.Chen, Y.F., Zoltowski, M.D.: Joint angle and delay estimation for ds-cdma with application to reduced dimension space-time rake receivers. In: Acoustics, Speech, and Signal Process, ser. ICASSP, vol. 5, pp. 2933–2936. IEEE (1999)
    5.Singh, P., Sircar, P.: Time delays and angles of arrival estimation using known signals. Signal Image Video Process. 6(2), 171–178 (2012)CrossRef
    6.Wang, Y.-Y., Chen, J.-T., Fang, W.-H.: Tst-music for joint doa-delay estimation. IEEE Trans. Signal Process. 49(4), 721–729 (2001)CrossRef
    7.Zhang, X., Feng, G., Xu, D.: Blind direction of angle and time delay estimation algorithm for uniform linear array employing multi-invariance music. Prog. Electromagn. Res. Lett. 13, 11–20 (2010)CrossRef
    8.Navarro, M., Najar, M.: Frequency domain joint toa and doa estimation in ir-uwb. IEEE Trans. Wirel. Commun. 10(10), 1–11 (2011)CrossRef
    9.Lagunas, E., Nájar, M., Navarro, M.: Joint toa and doa estimation compliant with ieee 802.15. 4a standard. In: 2010 5th IEEE International Symposium on Wireless Pervasive Computing (ISWPC), pp. 157–162. IEEE (2010)
    10.Schmidt, R.O.: Multiple emitter location and signal parameter estimation. IEEE Trans. Antennas Propag. 34(3), 276–280 (1986)CrossRef
    11.Schreiber, R.: Implementation of adaptive array algorithms. IEEE Trans. Acoust. Speech Signal Process. 34, 1038–1045 (1986)MATH CrossRef
    12.Laghmardi, N., Harabi, F., Meknessi, H., Gharsallah, A.: A space-time extended music estimation algorithm for wide band signals. Arab. J. Sci. Eng. 38(3), 661–667 (2013)CrossRef
    13.Barabell, A.: Improving the resolution performance of eigenstructure-based direction-finding algorithms. In: Acoustics, Speech, and Signal Processing, ser. ICASSP’83, vol. 8, pp. 336–339. IEEE (1983)
    14.Kaveh, M., Barabell, A.J.: The statistical performance of the music and minimum-nom algorithms in resolving plane waves in noise. IEEE Trans. Acoust. Speech Signal Process. 34, 331–341 (1986)CrossRef
    15.Stoica, P., Nehorai, A.: Music, maximum likelihood, and cramer-rao bound: further results and comparisons. IEEE Trans. Acoust. Speech Signal Process. 38, 2140–2150 (1990)
    16.Xu, X.-L., Buckley, K.M.: Bias analysis of the music location estimator. IEEE Trans. Signal Process. 40, 2559–2569 (1992)
    17.Lee, J.-H., Cho, S.-W., Moon, H.-J.: Application of the alternating projection strategy to the capon beamforming and the music algorithm for azimuth/elevation aoa estimation. J. Electromagn. Waves Appl. 27(12), 1439–1454 (2013)
    18.Sattarzadeh, S., Abolhassani, B.: Toa extraction in multipath fading channels for location estimation. In: IEEE Symposium on Personal, Indoor and Mobile Radio Comm., ser. PIMRC’06, pp. 1–4. IEEE, Helsinki (Finland) (2006)
  • 作者单位:Dominic Grenier (1)
    Bahareh Elahian (1)
    Alexia Blanchard-Lapierre (1)

    1. Electrical and Computer Engineering Department, Laval University, Quebec City, G1V 0A6, Canada
  • 刊物类别:Engineering
  • 刊物主题:Signal,Image and Speech Processing
    Image Processing and Computer Vision
    Computer Imaging, Vision, Pattern Recognition and Graphics
    Multimedia Information Systems
  • 出版者:Springer London
  • ISSN:1863-1711
文摘
In this paper, we present a novel and precise way of estimating the direction and delay of arrivals in multipath environment for channel estimation purposes. Recently, super-resolution methods have been widely used for high-resolution direction of arrival (DOA) or time difference of arrival (TDOA) estimation. The proposed algorithm, called JDTDOA, is applicable to space–time channel estimation for space–time processing systems that employ hybrid DOA/TDOA technology. The estimator is based on conventional MUSIC algorithm to find the DOA and uses a standard correlator along with spline interpolation to find the TDOA of each arrival. In the interest of estimating the channel’s characteristics, each direction must be associated with its proper delay of arrival. To achieve this, we suggest a very simple and optimum beamforming by performing maximum variance distortionless response applied to each DOA found. The output at each DOA beamforming process gives the recovered signal from the relevant direction. A correlation is then made between each recovered signals which can be interpolated by cubic spline. The peak in correlation figure indicates the specific delay between the signal arrivals coming from the two considered direction. Keywords Joint TDOA-DOA Channel estimation MUSIC algorithm MVDR algorithm Second order estimation

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