Analysis of MIMO performance with Beam Forming Algorithms

Emmanuel Nehemiah J, Anitha S, Banupriya R, Vijaya N, Susithra G

Abstract


The growth of digital wireless communication is marvelous in last few decades. The demand for higher data rate is more and it can be achieved by increasing the bandwidth and channel capacity. Increasing the bandwidth is more challenging, since we are having very limited spectrum. And here capacity is increased to achieve higher data demand through space selectivity. Smart antenna with beam forming algorithm provide higher capacity and higher quality than other system. In this paper the performance of the smart antenna is analyzed with LMS and NLMS algorithm with stimulation results. It is found that the performance of smart antenna is high in NLMS algorithm.


Keywords


Computer Science; ASDF Journals; ASDF; ASDF International; Electronics; Communication Engineering; Communication; Engineering

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References


L. Yun-hui a n d Y. Yu-hang, “A modified multitarget adaptive array algorithm for wireless CDMA system”, Journal Zhejiang Univ SCI, Vol. 5, No. 11, pp. 1418-1423, 2013.

S. Gazor and K. Shahtalebi, “A new NLMS algorithm for slow noise magnitude variation”, IEEE Signal Processing Letter, Vol. 9, No. 11, pp. 338-351, 2011.

M. T. Islam, Z. A. Abdul Rashid, and C. C. Ping,“Performance evaluation of CMA and nCMA blind array algorithm for smart antenna system”, CS-2006-1016, pp. 1-10, 2006.

M. T. Islam, Z. A. Abdul Rashid, and C. C. Ping, “Comparison between non-blind and blind array algorithms for smart antenna system”, CS-2006-1015, pp. 1-8, 2006.

J. Zhang, “The adaptive algorithms of the smart antenna system in future mobile telecommunication systems”, IEEE, pp. 347-350, 2005.

J. Razavilar, F. Rashid-Farrokhi, and K. J. R. Liu, “Software radio architecture with smart antennas: a tutorial on a lgorithms and c omplexity”, IEEE Journal on Selected Areas in Communications, Vol. 17, No. 4, pp. 662-676, April 1999.

S. C. Douglas and T. Meng, “Normalized data nonlinearities for LMS adaptation”, IEEE Transactions on Signal Processing, Vol. 42, No. 6, pp. 1352-1365, June 1994.

R. S. Kawitkar and D. G. Wakde, “Smart antenna array analysis using LMS algorithm”, IEEE Int. Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, pp. 370-374, 2005.

M. Chryssomallis, “Smart antennas”, IEEE Antennas and Propagation Magazine, Vol. 42, No. 3, pp. 129-136, June 2000.

R. Martínez, A. Cacho, L. Haro, and M. Calvo, “Comparative study of LMS and RLS adaptive algorithms in the optimum combining of uplink W-CDMA”, IEEE, pp. 2258-2262, 2002.

S. Lim, C. H. Yoo, and S. Kim, “Performance evaluation of beamforming using pilot channel in CDMA2000 reverse link”, IEEE VTC, pp. 2740-2744, 2001.

Shahera hossain, mohammad tariqul islam and seiichi serikawa, “Adaptive Beamforming Algorithms for Smart Antenna Systems”, International Conference on Control, Automation and Systems, 2008.


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