Mistiming performance analysis of the energy detection based toa estimator for MB-OFDM

• Published in: IEEE transactions on wireless communications Vol. 8; no. 8; pp. 3980 - 3984
• Main Authors: Huilin Xu, Liuqing Yang, Morton, Y.T.J., Miller, M.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.08.2009; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Bandwidth; Channels; Delay estimation; Detection, estimation, filtering, equalization, prediction; Diversity reception; energy detection; Estimators; Exact sciences and technology; Fading; Frequency estimation; Information, signal and communications theory; Miscellaneous; multi-band orthogonal frequency-division multiplexing (MB-OFDM); Multiplexing; Nakagami distribution; Orthogonal Frequency Division Multiplexing; Performance analysis; Rayleigh channels; Signal and communications theory; Signal processing; Signal, noise; Simulation; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Time of arrival estimation; Time-of-arrival (ToA) estimation; Timing; Transmission and modulation (techniques and equipments); Wireless communication; Fading channels; Performance evaluation; Parameter estimation; Subband decomposition; Time-of-arrival (ToA) estimation; Arrival time; Nakagami fading; Simulation; Orthogonal frequency division multiplexing; Signal processing; energy detection; Multiple frequency; multi-band orthogonal frequency-division multiplexing (MB-OFDM)
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2009.090414

In this letter, we apply energy detection based time- of-arrival (ToA) estimation to multi-band orthogonal frequency-division multiplexing signals. We analyze the mistiming performance of the ToA estimator in the Nakagami-m channel. Analysis shows that the slope of the probability of mistiming curve increases with the number of subbands and the Nakagami-m parameter. This is known in communications as diversity. Simulations are carried out in various channels to corroborate our theoretical analysis.