TY - JOUR
T1 - Estimators of the nakagami-m parameter and performance analysis
AU - Tepedelenlioglu, Cihan
AU - Gao, Ping
N1 - Funding Information:
Manuscript received January 5, 2003; revised June 13, 2003; accepted December 17, 2003. The editor coordinating the review of this paper and approving it for publication is J. K. Cavers. This work in this paper was supported by the National Science Foundation under CAREER Grant CCR-0133841.
PY - 2005/3
Y1 - 2005/3
N2 - The Nakagami-m parameter is known to capture the envelope distribution of various fading channel conditions in wireless communications. The value of m is indicative of the severity of fading, and is a measure of channel quality, making its estimation necessary in many applications. In this paper, we summarize the existing estimators for the Nakagami-m parameter and propose a new class of estimators, whose performance is analyzed by deriving the asymptotic variance and comparing with the Cramer-Rao bound (CRB). Moreover, we develop a novel estimator robust to the presence of additive white Gaussian noise (AWGN) or any other additive noise with a symmetrical distribution. We also discuss practical issues not previously addressed in the literature including adaptation and computational complexity of these estimators. We conclude that our novel integer-moment based estimators are the best choice from a computational complexity and performance point of view. Simulation results corroborate our analysis.
AB - The Nakagami-m parameter is known to capture the envelope distribution of various fading channel conditions in wireless communications. The value of m is indicative of the severity of fading, and is a measure of channel quality, making its estimation necessary in many applications. In this paper, we summarize the existing estimators for the Nakagami-m parameter and propose a new class of estimators, whose performance is analyzed by deriving the asymptotic variance and comparing with the Cramer-Rao bound (CRB). Moreover, we develop a novel estimator robust to the presence of additive white Gaussian noise (AWGN) or any other additive noise with a symmetrical distribution. We also discuss practical issues not previously addressed in the literature including adaptation and computational complexity of these estimators. We conclude that our novel integer-moment based estimators are the best choice from a computational complexity and performance point of view. Simulation results corroborate our analysis.
KW - Channel characterization
KW - Parameter estimation
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U2 - 10.1109/TWC.2004.843017
DO - 10.1109/TWC.2004.843017
M3 - Article
AN - SCOPUS:17144397151
VL - 4
SP - 519
EP - 527
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
SN - 1536-1276
IS - 2
ER -