Performance Analysis of MUSIC and MVDR DOA Estimation Algorithm

  • Bhupenmewada
  • Prof. Kamal Niwaria
  • Dr. Manish Jain


The communication systems use concept of smart antennas, which is based on digital signal processing algorithms. In this way, the smart antennas system becomes capable to locate and track signals by the both: users, interferers and dynamically adapts the antenna pattern to enhance the reception in Signal-of-Interest direction and minimizing interference in Signal-of-Not-Interest (SONI) direction. Hence, Space Division Multiple Access system (SDMA), which uses smart antennas, is being used more often in wireless communications, because it shows improvement in channel capacity and co-channel interference. However, performance of smart antenna system greatly depends on efficiency of digital signal processing algorithms. The algorithm uses the Direction of Arrival (DOA) algorithms to estimate the number of incidents plane waves on the antenna array and their angle of incidence. In this paper the performance of Direction-of-Arrival (DOA) algorithms MUSIC and MVDR are investigated. The simulation results shows that, the advantages in performance of one algorithm over another vary with the conditions and is significantly influenced by both of the environment as well as the system. Thus, careful consideration is imperative to the conditions and system parameters specific to the planned deployment. The algorithms have been simulated in MATLAB 7.4 version.


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M. Chryssomallis. (2000). Smart antenna. IEEE Antennas and Propagation Magazine, 42(3), 129-136.

K.N.Srinivasa Kumar, R.Satish, & Dr. M.Siva Ganga Prasad. (2014). Estimation of direction of arrival algorithms for adaptive array smart antenna in wireless communication. International Journal of Engineering Trends and Technology, 14(5), 245-248.

Ogawa Y. & Ohgane T. (1996). Adaptive antennas for future mobile radio. Computer Journal of IEICE TransactionFundamentals, 79(7), 961–967.

Frank Gross. (2005). Smart antennas for wireless communications with matlab. New York: McGraw Hill.

C.Balanis. (2005). Antenna theory, analysis and design. (3rd ed.). New Jersey: John wiley and Sons.

Harry Trees. (2002). Optimum array processing: part iv of detection, estimation and modulation theory. New York: John Wiley and Sons.

Lavate, T.B. Kokate, V.K. & Sapkal, A.M. (2010). Performance analysis of music and esprit doa estimation algorithms for adaptive array smart antenna in mobile communication. 2nd International Conference on Computer and Network Technology (ICCNT), 308-311.

Jalali, M. Moghaddasi, M.N. & Habibzadeh, A. (2009). Comparing accuracy for ml, music, root-music and spatially smoothed algorithms for 2 users. Microwave Symposium (MMS), 2009 Mediterranean, IEEE Conference, 1–5.

Khan, Z.I. Awang, R.A. Sulaiman, A.A. Jusoh, M.H. Baba, N.H. Kamal, & M.M.D. Khan, N.I. (2008). Performance analysis for Estimation of signal Parameters via Rotational Invariance Technique (ESPRIT) in estimating Direction of Arrival for linear array antenna. IEEE International Conference on RF and Microwave Conference, 530–533.

Varade, S.W. & Kulat, K.D. (2009). Robust algorithms for doa estimation and adaptive beamforming for smart antenna application. 2nd International Conference on Emerging Trends in Engineering and Technology (ICETET), 1195–1200.

How to Cite
Bhupenmewada, Prof. Kamal Niwaria, & Dr. Manish Jain. (2018). Performance Analysis of MUSIC and MVDR DOA Estimation Algorithm. International Journal of Engineering and Management Research, 8(2), 50-55. Retrieved from