Performance Analysis of Existing Beam forming Methods for Various Antenna Elements and Interference Sources
Yashoda B.S , Dr. K.R. Nataraj, , ,
Affiliations Ph.D. Research Scholar, Jain University, Bangalore, India.
:10.22362/ijcert/2017/v4/i4/xxxx [UNDER PROCESS]
Antenna Arrays make use of techniques like Maximal Ratio Combining or Diversity is combining to achieve high Signal to Noise Ratio (SNR). The two kinds of the major algorithms used are Direction of Arrival (DOA) and Beam forming. This paper studies and performs the performance analysis of existing beam forming algorithms, namely Least Mean Square (LMS), Recursive Least Mean Square (RLS), Griffiths and Variable Step Size Griffiths (VSSG). The algorithms are simulated for various cases Low RF Sources and Single Interference, Large RF Source and Single Interference, Low RF Sources and Multiple Interference angles and finally in the case of Large RF sources and multiple interference angles.
Yashoda B.S et.al, “Performance Analysis of Existing Beam forming Methods for Various Antenna Elements and Interference Sources”, International Journal Of Computer Engineering In Research Trends, 4(4):142-149, April-2017.
Keywords : DOA, SNR, LMS, RLS
” Robust adaptive beamforming based on the Kalman filter”, A. El-Keyi ; T. Kirubarajan ; A.B. Gershman, IEEE Transactions on Signal Processing ( Volume: 53, Issue: 8, Aug. 2005.
 “Different adaptive beamforming algorithms for performance investigation of smart antenna system”, Ashraf A. M. Khalaf ; Abdel-Rahman B. M. El-Daly ; Hesham F. A. Hamed, Software, Telecommunications and Computer Networks (SoftCOM), 2016 24th International Conference .
 Comparative analysis of adaptive beamforming algorithm LMS, SMI and RLS for ULA smart antenna”, Dhaval N. Patel ; B. J. Makwana ; P. B. Parmar, Communication and Signal Processing (ICCSP), 2016 International Conference on
 Griffiths L.J.: A simple adaptive algorithm for real time processing of in antenna arrays. Proc. IEEE 57, 1696–1704.
 S. V. Narasimhan, S. Veena, H. Lokesha Variable step-size Griffiths’ algorithm for improved performance of feedforward/feedback active noise control, Signal, Image and Video Processing, 2010, Volume 4, Number 3, Page 309.
 Kim, I.-S., Na, H.-S., Kim, K.-J., Park, Y.: Constraint filtered-X and filtered-U LMS algorithms for the active control of noise in ducts. J. Acoust. Soc. Am. 95(6) (1994)
Kuo S.M., Morgan D.R.: Active noise control systems, algorithms and dsp implementations. Wiley, New York (1996)Google Scholar
 Kuo, S.M., Vijayan, D.: A secondary path modeling technique for active noise control. IEEE Trans. Speech Audio 5(4) (1997).
Kwong R.H., Johnston E.W.: A variable step-size LMS algorithm. IEEE Trans. Signal Process. 40(7), 1633–1642 (1992).
We have kept IJCERT is a free peer-reviewed scientific journal to endorse conservation. We have not put up a paywall to readers, and we do not charge for publishing. But running a monthly journal costs is a lot. While we do have some associates, we still need support to keep the journal flourishing. If our readers help fund it, our future will be more secure.