Skip to main content

Advertisement

SpringerLink
Log in

VAE/MPM/GA Technique for DoA Estimation Using Optimized Antenna Arrays

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Many algorithms have been proposed to estimate the direction of arrival for the targets, but through using a large number of snapshots. In real time applications such as automotive radar, this is unacceptable as it causes delay and heavy processing. Instead, if only a small number of snapshots or, optimally, a single snapshot is available for DoA estimation, it will be fast and efficient. Single snapshot algorithms have a drawback as they require a large number of antenna elements, which considered a limiting factor. In this paper, a single snapshot DoA estimation technique is introduced by using optimized antenna arrays. The proposed algorithm is based on utilization of virtual array extension, matrix pencil method, and the genetic algorithm. The use of virtual array extension greatly improves the MPM performance. Furthermore, it exhibits a high DoA estimation accuracy by using a reduced number of antenna elements. The genetic algorithm is employed to determine the minimum number of antenna elements, which are required to estimate the DoAs with minimal root mean square error.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  1. Cheng, Q., & Hua, Y. (2003). A review of parametric high-resolution methods. In: Y. Hua, AB. Gershman & Q. Cheng (Eds.), High-resolution and robust signal processing (pp. 1–62). Marcel Dekker

  2. Duan, H., Huang, D., Zhou, L., Chen, H., and Shi, J. (2012). A decorrelation algorithm based on virtual array extension. In: 2012 7th international ICST conference on communications and networking in China (CHINACOM), pp. 348–351 (2012). doi:10.1109/ChinaCom.2012.6417505.

  3. Haupt, R. L., & Werner, D. H. (2007). Genetic algorithms in electromagnetics. New York: Wiley.

    Book  Google Scholar 

  4. Jing, L., Liang, P., Maoyong, C., & Nongliang, S. (2008). Super-resolution time of arrival estimation for indoor geolocation based on ieee 802.11 a/g. In: Intelligent Control and Automation, 2008. 7th world congress on WCICA 2008, pp. 6612–6615. doi:10.1109/WCICA.2008.4593925.

  5. Khan, M., & Tufail, M. (2010). Comparative analysis of various matrix pencil methods for direction of arrival estimation. In: 2010 international conference on image analysis and signal processing (IASP), pp. 496–501. doi:10.1109/IASP.2010.5476066.

  6. Khan, M. F. (2011). Improved matrix pencil methods for parameters estimation of plane wave signals. Ph.D. thesis, Pakistan Institute of Engineering & Applied Sciences.

  7. Lui, H. S., & Hui, H. T. (2013). Direction-of-arrival estimation of closely spaced emitters using compact arrays. International Journal of Antennas and Propagation, 2013, 104848. doi:10.1155/2013/104848.

    Article  Google Scholar 

  8. Thakre, A., Haardt, M., & Giridhar, K. (2009). Single snapshot spatial smoothing with improved effective array aperture. IEEE Signal Processing Letters, 16(6), 505–508. doi:10.1109/LSP.2009.2017573.

    Article  Google Scholar 

  9. Thanh, H. T., & Yem, V. U. V. (2015). Robust system architecture for DOA estimation based on total forward backward matrix pencil algorithm. International Journal of Computer Applications, 126(4), 975–8887.

    Google Scholar 

  10. Trinh, L. A., Thang, N. D., Kim, D. H., & Lee, S. (2012) Direction estimation of arrival signal using matrix pencil algorithm for mobile robot localization. GSTF Journal on Computing 2(2).doi:10.5176/2010-2283_2.2.171.

  11. Yilmazer, N., Fernandez-Recio, R., & Sarkar, T. K. (2006). Matrix pencil method for simultaneously estimating azimuth and elevation angles of arrival along with the frequency of the incoming signals. Digital Signal Processing, 16(6), 796–816. doi:10.1016/j.dsp.2006.05.009. http://www.sciencedirect.com/science/article/pii/S1051200406000674.

  12. Yilmazer, N., Sarkar, T., & Salazar-Palma, M. (2010). Doa estimation using matrix pencil and esprit methods using single and multiple snapshots. In: 2010 URSI international symposium on electromagnetic theory (EMTS), pp. 215–218. doi:10.1109/URSI-EMTS.2010.5637087.

  13. Zhang, J., Huang, D., Huang, P., & Kang, J. (2010). Estimation doas of the coherent sources based on svd. In: 2010 2nd international conference on signal processing systems (ICSPS), vol. 3, pp. V3–174–V3–177. doi:10.1109/ICSPS.2010.5555439.

Download references

Author information

Authors and Affiliations

  1. Department of Electronics and Electrical Communication Engineering, Tanta University, Tanta, Egypt

    Haidy A. El-dawi, Sameh A. Napoleon & Amr H. Hussein

Authors
  1. Haidy A. El-dawi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sameh A. Napoleon
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Amr H. Hussein
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sameh A. Napoleon.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

El-dawi, H.A., Napoleon, S.A. & Hussein, A.H. VAE/MPM/GA Technique for DoA Estimation Using Optimized Antenna Arrays. Wireless Pers Commun 92, 1271–1279 (2017). https://doi.org/10.1007/s11277-016-3605-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-016-3605-1

Keywords

Search

Navigation