Advertisement

Improvement of DOD/DOA Estimation for Bistatic MIMO Radar

  • Ji Woong Paik
  • Joon-Ho LeeEmail author
Original Paper
  • 37 Downloads

Abstract

In this paper, we apply the Newton-type method for the optimization of cost functions for spectrum estimation-based bistatic DOD (direction of departure)/DOA (direction of arrival) estimation algorithm of the bistatic conventional beamforming and the bistatic capon beamforming algorithm in the bistatic MIMO radar system. Explicit expressions of the first derivatives and the second derivatives of the cost functions are presented. The Newton-type search for simultaneous update of the DOD/DOA based on the gradient and the Hessian of the cost function is also presented. The performance improvement in terms of estimation accuracy is demonstrated using the Monte–Carlo simulations.

Keywords

Bistatic MIMO radar system DOD (direction of departure) DOA (direction of arrival) Newton-type search Bistatic conventional beamforming Bistatic capon beamforming 

Notes

Acknowledgements

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2018R1D1A1B07048294).

References

  1. 1.
    H. Miao, M. Juntti, K. Yu (2006) 2–D unitary ESPRIT based joint AOA and AOD estimation for MIMO system, personal, indoor and mobile radio communications. In: 2006 IEEE 17th international symposium on, December 2006Google Scholar
  2. 2.
    Yan H, Li J, Liao G (2007) Multitarget identification and localization using bistatic MIMO radar systems. EURASIP J Adv Signal Process 2008:283483.  https://doi.org/10.1155/2008/283483 CrossRefzbMATHGoogle Scholar
  3. 3.
    Jin Ming, Liao Guisheng, Li Jun (2009) Joint DOD and DOA estimation for bistatic MIMO radar. Elsevier Signal Process 89:244–251CrossRefGoogle Scholar
  4. 4.
    Bencheikh ML, Wang Y (2010) Joint DOD-DOA estimation using combined ESPRIT-MUSIC approach in MIMO radar. IET Electron Lett 46(15):1081–1083CrossRefGoogle Scholar
  5. 5.
    Chen J, Gu H, Su W (2010) A new method for joint DOD and DOA estimation in bistatic MIMO radar. Elsevier Signal Process 90:714–718CrossRefGoogle Scholar
  6. 6.
    Zhang Xiaofei, Lingyun Xu, Lei Xu, Dazhuan Xu (2010) Direction of departure (DOD) and direction of arrival (DOA) estimation in MIMO radar with reduced-dimension MUSIC. IEEE Commun Lett 14(12):1161–1163CrossRefGoogle Scholar
  7. 7.
    Aboulnasr H, Vorobyov SA (2011) Transmit energy focusing for DOA estimation in MIMO radar with colocated antennas. IEEE Trans Signal Process 59(6):2669–2682MathSciNetCrossRefGoogle Scholar
  8. 8.
    Lee JH, Cho SW, Jeong SH (2013) Application of the Levenberg–Marquardt scheme to the MUSIC algorithm for AOA estimation. Int J Antennas Propag 2013:1–8Google Scholar
  9. 9.
    Bencheikh ML, Wang Y (2013) Polynomial root finding technique for joint DOA DOD estimation in bistatic MIMO radar. Elsevier Signal Process 90:2723–2730CrossRefGoogle Scholar
  10. 10.
    Tang B, Tang J, Zhang Y, Zheng Z (2013) Maximum likelihood estimation of DOD and DOA for bistatic MIMO radar. Elsevier Signal Process 93:1349–1357CrossRefGoogle Scholar
  11. 11.
    Jiang H, Zhang J-K, Wong KM (2015) Joint DOD and DOA estimation for bistatic MIMO radar in unknown correlated noise. IEEE Trans Veh Technol 64(11):5113–5125CrossRefGoogle Scholar
  12. 12.
    Xia Tie-Qi (2015) Joint diagonalization based DOD and DOA estimation for bistatic MIMO radar. Elsevier Signal Process 108:159–166CrossRefGoogle Scholar
  13. 13.
    Wang Yali, Liu Zhiguo (2015) Joint DOD and DOA estimation using 2-D unitary esprit for bistatic MIMO radar. IET Int Radar Conf 2015:1–6Google Scholar
  14. 14.
    Chintagunta Srinivasarao, Ponnusamy Palanisamy (2018) 2D-DOD and 2D-DOA estimation using the electromagnetic vector sensors. Elsevier Signal Process 147:163–172CrossRefGoogle Scholar

Copyright information

© The Korean Society for Aeronautical & Space Sciences 2019

Authors and Affiliations

  1. 1.Department of Information and Communication EngineeringSejong UniversitySeoulRepublic of Korea

Personalised recommendations