Browse > Article
http://dx.doi.org/10.6109/jkiice.2010.14.2.277

Analysis of System on the Combining Reception and the Variance of the Phase Estimate of a Sinusoidal Signal over Wireless Fading Channels  

Ham, Young-Marn (서울산업대학교 IT정책전문대학원)
Lee, Kang-Won (서울산업대학교 IT정책전문대학원 산업정보시스템공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.14, no.2, 2010 , pp. 277-286 More about this Journal
Abstract
In this paper amplitude and phase distortion of the received signal through a fading channel results in a severe performance degradation of the communication system, Therefore we consider the variance of the maximum a posteriori phase estimate of sinusoidal signal by the Cramer-Rao bound in wireless fading channel. To find the Cramer-Rao lower bound for the variance of the phase, We use the derived probability density function(pdf) of the phase in Nakagami fading channel. We analyze the error performance of modulation signals using order statistics on generalized combining reception and find adequate diversity branch number.
Keywords
maximum a posteriori; Cramer-Rao bound; estimation; modulation signals;
Citations & Related Records
연도 인용수 순위
  • Reference
1 I. S. Gradshteyn and I. M. Ryzhik, Table of Integral, Series and Products, New York: Academic Press, Inc., 1980.
2 A. Annamalai, "Analysis of Selection Diversity on Nakagami Fading Channel," Electron. Lett., vol. 33, No. 7, pp. 548-549, 1997.   DOI   ScienceOn
3 J.G.Proakis, Digital Communications, McGraw-Hill, Inc., 2008.
4 H.L.Van Trees, Detection, Estimation, and Modulation Theory, Part 1, John Wiley & Sons,Inc.2007.
5 R.E.Ziemer & R.L.Peterson, Digital Communications and Spread Spectrum Systems, Macmillian Publishing Company., 2008.
6 김치환, "Nakagami 페이딩 채널에서 BPSK시스템의 해석과 PSK 신호의 변조분류," 한양대학교 석사논문, 1995.
7 C.H.Kim, S.Y.Choi, and Y.Y.Han, "New results on selective diversity using order statistics for reception of M-ary DPSK and PSK signals on Nakagami fading channels," IEICE Trans. Fundamentals, vol. E84-A, no. 4, pp. 1085-1089, April 2001.
8 J. Sun and I. S. Reed, "Performance of MDPSK, MPSK, and Noncoherent MFSK in Wireless Rician Fading Channels," IEEE Trans. Commun., vol. 47, No. 6, pp. 813-816, June 1999.   DOI   ScienceOn
9 K. K. Cho, "Analysis of MRC Diversity for M-ary QAM Signals in Nakagami Fading Channels," M. Sc. thesis, Dep. Elec. Com. Eng., Hanyang Univ., Korea, Dec. 1996.
10 R. E. Ziemer & W. H. Tranter, Principles of Communications/Systems, Modulation, and Noise, second, Houghton Mifflin, 2005.
11 A. M. Mood, F. A. Graybill, and D. C. Boes, Introduction to the Theory of Statistics, McGraw-Hill, 2007.
12 P. Z. Peebles, Jr., Probability, Random Variables, and Random Signal Principles, McGraw-Hill, 2008.