An Approximate Maximum Likelihood Time Synchronization Algorithm for Zero-padded OFDM in Channels with Impulsive Gaussian Noise

In wireless communication systems, Orthogonal Frequency-Division Multiplexing (OFDM) includes variants using either a cyclic prefix (CP) or a zero padding (ZP) as the guard interval to avoid inter-symbol interference. OFDM is ideally suited to deal with frequency-selective channels and additive white Gaussian noise (AWGN); however, its performance may be dramatically degraded in the presence of impulse noise. While the ZP variants of OFDM exhibit lower bit error rate (BER)and higher energy efficiency compared to their CP counterparts,they demand strict time synchronization, which is challenging in the absence of pilot and CP. Moreover, on the contrary to AWGN, impulse noise severely corrupts data. In this paper, a new low-complexity timing offset (TO) estimator for ZP-OFDM for practical impulsive-noise environments is proposed, where relies on the second-other statistics of the multipath fading channel and noise. Performance comparison with existing TO estimators demonstrates either a superior performance in terms of lock-in probability or a significantly lower complexity over a wide range of signal-to-noise ratio (SNR) for various practical scenarios.

[1]  A. J. Han Vinck,et al.  A Study on Impulse Noise and Its ModelsPublisher: SAIEE , 2015 .

[2]  Sumit Roy,et al.  A subspace blind channel estimation method for OFDM systems without cyclic prefix , 2002, IEEE Trans. Wirel. Commun..

[3]  Ali A. Nasir,et al.  Timing and carrier synchronization in wireless communication systems: a survey and classification of research in the last 5 years , 2016, EURASIP J. Wirel. Commun. Netw..

[4]  Marc Moonen,et al.  Blind Coarse Timing Offset Estimation for CP-OFDM and ZP-OFDM Transmission over Frequency Selective Channels , 2009, EURASIP J. Wirel. Commun. Netw..

[5]  O. Edfors,et al.  Time and frequency synchronization for OFDM using PN-sequence preambles , 1999, Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324).

[6]  Georgios B. Giannakis,et al.  Reduced complexity equalizers for zero-padded OFDM transmissions , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[7]  Xianbin Wang,et al.  Robust channel estimation and ISI cancellation for OFDM systems with suppressed features , 2005, IEEE Journal on Selected Areas in Communications.

[8]  Min-Hyuk Kim,et al.  A consumer transceiver for long-range IoT communications in emergency environments , 2016, IEEE Transactions on Consumer Electronics.

[9]  Xiaodong Wang,et al.  Space-time code design in OFDM systems , 2000, Globecom '00 - IEEE. Global Telecommunications Conference. Conference Record (Cat. No.00CH37137).

[10]  D. Middleton,et al.  Man-Made Noise in Urban Environments and Transportation Systems: Models and Measurements , 1973, IEEE Trans. Commun..

[11]  Sau-Gee Chen,et al.  A green FFT processor with 2.5-GS/s for IEEE 802.15.3c (WPANs) , 2010, The 2010 International Conference on Green Circuits and Systems.

[12]  Denise C. Alves,et al.  Architecture design and implementation of key components of an OFDM transceiver for IEEE 802.15.4g , 2016, 2016 IEEE International Symposium on Circuits and Systems (ISCAS).

[13]  H. Vincent Poor,et al.  Robust multiuser detection in non-Gaussian channels , 1999, IEEE Trans. Signal Process..

[14]  C.D. Murphy Low-complexity FFT structures for OFDM transceivers , 2002, IEEE Trans. Commun..

[15]  Linglong Dai,et al.  Positioning with OFDM signals for the next- generation GNSS , 2010, IEEE Transactions on Consumer Electronics.

[16]  Helmut Bölcskei,et al.  Blind estimation of symbol timing and carrier frequency offset in wireless OFDM systems , 2001, IEEE Trans. Commun..

[17]  D. Middleton,et al.  Channel Modeling and Threshold Signal Processing in Underwater Acoustics: An Analytical Overview , 1987 .

[18]  Theodore S. Rappaport,et al.  Measurements and Models of Radio Frequency Impulsive Noise for Indoor Wireless Communications , 1993, IEEE J. Sel. Areas Commun..