Two-Dimensional Super-Resolution Direction Finding Algorithm for Wideband Chirp Signals

  • Baoyu Guo
  • Jiaqi ZhenEmail author
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 279)


Conventional direction finding algorithms for wideband signal need to preliminarily estimate the Direction of Arrival (DOA) and power of the noise roughly, and it has large focusing error. In order to solve these problems, a super-resolution direction finding algorithm for two dimensional (2-D) wideband chirp signals is proposed, the Fractional Fourier Transform (FRFT) is applied to focus the energy of the signals in every frequency by the rotational characteristic of FRFT, then algorithm for narrowband signals is used to estimate the DOA, computer simulation results prove the effective of the algorithm.


Wideband signals Chirp signals Direction of Arrival Fractional Fourier Transform 


  1. 1.
    Vinci, G., Barbon, F., Laemmle, B.: Wide-range, dual six-port based direction-of-arrival detector. In: 2012 Proceedings of Microwave Conference, Ilmenau, Germany, pp. 1–4 (2012)Google Scholar
  2. 2.
    Choliz, J., Angela, H.S., Valdovinos, A.: Evaluation of algorithms for UWB indoor tracking. In: 2011 Proceedings of Positioning Navigation and Communication, Dresden, Germany, pp. 143–148 (2011)Google Scholar
  3. 3.
    Bell, K.L., Zarnich, R.E., Wasyk, R.: MAP-PF wideband multitarget and colored noise tracking. In: 2010 Proceedings of Acoustics Speech and Signal Processing, Texas, USA, pp. 2710–2713 (2010)Google Scholar
  4. 4.
    Raines, B.D., Rojas, R.G.: Wideband tracking of characteristic modes. In: 2011 Proceedings of the 5th European Conference on Antennas and Propagation, Rome, Italy, pp. 1978–1981 (2011)Google Scholar
  5. 5.
    William, S., Salil, B., Adam, H.: System-level noise of an ultra-wideband tracking system. In: 2012 Proceedings of the 11th International Conference on Information Science, Signal Processing and their Applications, Montreal, Canada, pp. 634–639 (2012)Google Scholar
  6. 6.
    Shen, B., Yang, R., Ullah, S., Kwak, K.: Linear quadrature optimization-based non-coherent time of arrival estimation scheme for impulse radio ultra-wideband systems. IET Commun. 4(12), 1471–1483 (2010)MathSciNetCrossRefGoogle Scholar
  7. 7.
    Wang, H., Kaveh, M.: Coherent signal-subspace processing for the detection and estimation of angles of arrival of multiple wide-band sources. IEEE Trans. Acoust. Speech Signal Process. 33(4), 823–831 (1985)CrossRefGoogle Scholar
  8. 8.
    Acharyya, R.: Multiple classification without model order estimation. In: 2012 Proceedings of OCEANS, Yeosu, South Korea, pp. 1–6 (2012)Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.College of Electronic EngineeringHeilongjiang UniversityHarbinChina

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