International Journal of Applied Science and Engineering
Published by Chaoyang University of Technology

Muhib Ur Rahman*

Department of Electrical (Telecomm) Engineering, MCS National University of Sciences  and Technology, Rawalpindi, Pakistan


 

Download Citation: |
Download PDF


ABSTRACT


The main focus of the adaptive array smart antennas is to create such a beamforming system in which the main beam is directed towards the desired signal and the nulls is directed towards the interferers. These type of adaptive smart antennas is used widely in Automotive Radars. Various DOA estimation algorithms is used to achieve such objectives. But the challenge is such that we have a fixed number of snapshots available in such application. So it is a difficult task to achieve our desired results while at the same time keeping the restriction of snapshots availability. Here in this paper we will implement the MUSIC algorithm and will show the superiority of such algorithm over another ones being done in the literature. It is shown that by implementing MUSIC algorithm in multipath Environment we obtain higher angular resolutions and hence it is explored in much more detail. The algorithm is implemented by varying various parameters of smart antenna systems. The simulation results shows that MUSIC is more accurate and stable for two closely spaced signals.


Keywords: MUSIC (MUltiple SIgnal Classification) algorithm; DOA estimation; beamforming; multipath environment; automotive radars; smart antennas.


Share this article with your colleagues

 


REFERENCES


  1. [1] Al-Tabatabaie, K. F. 2015. A new improved-music algorithm for high resolution direction of arrival detection. Journal of Theoretical and Applied Information Technology, 72, 1: 101105.

  2. [2] Chen, Z., Gokeda, G., and Yu, Y. 2010. “Introduction to Direction-of-Arrival Estimation”. Artech House. Boston. USA.

  3. [3] Krim, H. and Viberg, M. 1996. Two decades of array signal processing research. IEEE Signal Processing Magazine, 13, 4: 67–94.

  4. [4] Zhang, X., Bai, Y., and Zhang, W. 2009. DOA estimation for wideband signals based on arbitrary group delay”, in Proceedings of the World Congress on Engineering and Computer Science, WCECS 2009, October 20-22, San Francisco, USA, 2: 1298-1300.

  5. [5] Balanis, C. 2005. “Antenna Theory: Analysis and Design”, 3rd edition. John Wiley and Sons, Hoboken, New Jersey.

  6. [6] Dhope, T., Simunic, D. and Durek, M. 2010. Application of DOA estimation algorithms in smart antenna systems. Studies in informatics and Control, 19, 4: 445-452.

  7. [7] Xu, C. and Krolik, J. 2015. Space-delay adaptive processing for MIMO RF indoor motion mapping. In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 19-24, 2349-2353.

  8. [8] Wang, G., Xin, J., Wang, J., Zheng, N., and Sano, A. 2015. Subspace-based two-dimensional direction estimation and tracking of multiple targets. IEEE Transactions on Aerospace and Electronic Systems, 51, 2: 1386-1402.

  9. [9] Bartlett, M. S. 1950. Periodogram analysis and Continuous spectra. Biometrika, 37, 1–2: 116.

  10. [10] Wu, X.-g. and Guo, T.-w. (2011). Direction of arrival parametric estimation and simulation based on MATLAB. In Proceedings of the 2011, International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011), November 19-20, 2011, Melbourne, Australia, p. 147-156. Springer Berlin Heidelberg.

  11. [11] Venkataramana, D., Sanyal, S. K., and Misra, I. S. 2016. Digital Signal Processor-Based Broad Null Beamforming for Interference Reduction. Circuits, Systems, and Signal Processing, 35, 1: 211-231.

  12. [12] Swindlehurst, A. L., Ottersten, B., Roy, R., & Kailath, T. 1992. Multiple invariance ESPRIT. IEEE Transactions on Signal Processing, 40, 4: 867-881.


ARTICLE INFORMATION


Received: 2014-08-21
Revised: 2016-07-31
Accepted: 2016-07-31
Available Online: 2016-07-01


Cite this article:

Rahman, M.U. 2016. Performance analysis of MUSIC DOA algorithm estimation in multipath environment for automotive radars. International Journal of Applied Science and Engineering, 14, 125–132. https://doi.org/10.6703/IJASE.2016.14(2).125