Vladeta Milenković, Dragan Denić, Aleksandar Jocić

DOI Number
First page
Last page


In this paper we will present increased accuracy measurement method for the Nakagami-m m parameter estimation, based on implementation of space diversity reception. Parameter m will be estimated in real time, based on the obtained values of first, second and third order moments of signal, measured by a proposed system. The obtained results will show an increase of accuracy obtained by using this method over the results obtained by using a standard measurement procedure, so it creates a potential to apply this measurement method for estimation of fading parameters in various propagation environments.

Full Text:



S. Panic, Fading and interference mitigation in wireless communications. CRC Press, 2014.

E. Belding-Royer, A. Khaldoun, G. Pujolle, Mobile and Wireless Communication Networks, Springer.

J. Cheng, N. C. Beaulieu, N. C. “Maximum-Likelihood based estimation of the Nakagami m parameter“, IEEE Commun. Lett., vol. 5, no. 3, pp. 101-103, 2001.

J. Cheng, N. C. Beaulieu, “Estimation of Ricean and Nakagami distribution parameters using noisy samples“, in Proc. IEEE International Conf. on Commn. (ICCS04), Paris, France, June 2004, pp. 562-566.

J. Cheng, N. C. Beaulieu, “Novel Nakagami-m parameter estimator for noisy channel samples“, IEEE Communication Letters, vol. 9, no. 5, pp. 417-419, 2002.

N. Wang, X. Song, J. Cheng “Generalized Method of Moments Estimation of the Nakagami-m Fading Parameter“, IEEE Transactions on Wireless Communications, vol. 11, no. 9, pp. 3316 – 3325, 2012.

F. Luan, Y. Zhang, L. Xiao, C. Zhou, S. Zhou, “Fading Characteristics of Wireless Channel on High-Speed Railway in Hilly Terrain Scenario”, International Journal of Antennas and Propagation, Article ID 378407, 1-9, 2013.

M. Malović, Lj. Brajović, Z. Mišković, T. Šekara, “Simultaneity Analysis In A Wireless Sensor Network, Metrology and Measurement Systems”,vol. 22, no. 2, pp. 275-288, 2015.

P. Varlamos, L. Heretakis, P. Papakanellos, P. Trakadas, C. Capsalis, “Measurements and simulation for a joint non-Gaussian fast-fading model in indoor-propagation environments”, Microwawe and Optical Technology Letters, vol. 45, no. 6,pp. 515-519, 2005.

L. Angrisani, F. Cennamo, G. Scarpato, R. Moriello, “Prototype of a Dsp-Based Instrument for In-Service Wireless Transmitter Power Measurement”, Metrology and Measurement Systems, vol. 21, no. 4, pp. 669-708, 2014.

J. Mandel, The Statistical Analysis of Experimental Data. New York, Interscience-Wiley Publishers, out of print; corrected and reprinted, New York, Dover Publishers, 1964.

I. S. Gradshteyn, I. M. Ryzhik, Table of Integrals, Series, and Products, Academic Press, 2007.

V. Milentijević, V., et. al., “Relative measurement error analysis in the process of the Nakagami-m fading parameter estimation”, Serbian Journal of Electrical Engineering, vol. 8, no. 3, pp. 341-349.

D. Denic, et. al., ”The Method for Fading Measurement in Outdoor Propagation Environments and its Improvement by applying Diversity Technique”, in Proc., XI International SAUM Conference on Systems, Automatic Control and Measurements Niš, Serbia, November 14th-16th, 2012, pp. 88-91.

Y. Cho, J. Kim, W. Yang, C. Kang, MIMO-OFDM Wireless Communications with MATLAB, Singapore, John Wiley & Sons, 2010.



  • There are currently no refbacks.

Print ISSN: 1820-6417
Online ISSN: 1820-6425