An Efficient Reduced-Complexity Two-Stage Differential Sliding Correlation Approach for OFDM Synchronization in the AWGN Channel

Nasraoui, Leïla; Atallah, Leïla Najjar; Siala, Mohamed

doi:10.1109/vetecf.2011.6093110

Cited by 20 publications

(7 citation statements)

References 9 publications

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“…It is also important to point out that these simulations required the receiver to detect the timing point correctly before frequency estimation. This means that a small portion of the errors-on the order of 10 The results for the phase warping attack from figure 1 show that it is highly disruptive to the frequency offset estimation at the receiver. While the phase warping attack is extremely effective in causing errors when it has channel knowledge and transmits at equal or higher power as the transmitter, the phase warper with no channel knowledge actually performs better at higher SJRs.…”

Section: Simulationmentioning

confidence: 99%

“…Both timing and frequency synchronization are necessary in order to avoid inter-symbol interference (ISI), as well as inter-carrier interference (ICI) and loss of orthogonality among OFDM subcarriers. A number of algorithms have been developed in order to efficiently and robustly perform the synchronization [6], [7], [8], [9], [10]. This paper is based on the symbol timing and carrier frequency offset estimation algorithm designed by Schmidl and Cox [1], which is the maximum likelihood detector for OFDM, and because of its optimality variations of this algorithm are widely used in commercial systems based on OFDM, such as WiMAX and Long Term Evolution (LTE).…”

Section: Introductionmentioning

confidence: 99%

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Phase warping and differential scrambling attacks against OFDM frequency synchronization

Pan

Clancy

McGwier

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

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Orthogonal Frequency Division Multiplexing (OFDM) is used in many modern communications systems. Timing and frequency synchronization in an OFDM system are critical to performance and must be carried out early and often. Current synchronization methods, such as those developed by Schmidl and Cox [1], were not designed to be robust to adversarial signals. A series of attacks against the preamble synchronization stage have been developed and demonstrated to debilitate OFDM receivers. Multiple attacks against the frequency offset error estimation stage are discussed, and some possible improvements to OFDM synchronization algorithms are suggested.

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Section: Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Phase warping and differential scrambling attacks against OFDM frequency synchronization

Pan

Clancy

McGwier

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

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“…In addition, these symbols are almost always at a fixed position within frame structure of OFDM transmission. The problems of synchronization visibility and symbol periodicity are inherent to various other algorithms , as well as various standards, including WiMAX and LTE. The two simplest attacks presented in this paper highlight the danger that these problems present.…”

Section: Power‐efficient Jamming Attacksmentioning

confidence: 99%

“…Without this process, OFDM systems are susceptible to intersymbol interference, intercarrier interference, and loss of orthogonality among OFDM subcarriers. There are a number of algorithms that have been developed for performing this task [4][5][6][7][8][9][10]. The work performed in this paper is based on the three part, maximum likelihood algorithm designed by Schmidl and Cox [11].…”

Section: Introductionmentioning

confidence: 99%

Physical layer orthogonal frequency‐division multiplexing acquisition and timing synchronization security

Pan

Clancy

McGwier

2014

Wireless Communications

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Orthogonal frequency-division multiplexing (OFDM) has become the manifest modulation choice for 4G standards. Timing acquisition and carrier frequency offset synchronization are prerequisite to OFDM demodulation and must be performed often. Most of the OFDM methods for synchronization were not designed with security in mind. In particular, we analyze the performance of a maximum likelihood synchronization estimator against highly correlated jamming attacks. We present a series of attacks against OFDM timing acquisition: preamble whitening, the false preamble attack, preamble warping, and preamble nulling.The performance of OFDM synchronization turns out to be very poor against these attacks, and a number of mitigation strategies and security improvements are discussed.

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“…In [14], a maximumlikelihood (ML) estimator was proposed for single-inputsingle-output (SISO) system and linear approximation is employed for coarse estimation of the CFO. Later in [15], the proposed differential correlation method was derived for additive white Gaussian noise (AWGN) channel. More recently, CFO estimation problem in MIMO systems was investigated in [16] and a closed form ML estimator was proposed for flat/slow fading channel.…”

Section: Introductionmentioning

confidence: 99%

Coarse Frequency Offset Estimation in MIMO Systems Using Neural Networks: A Solution With Higher Compatibility

et al. 2019

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Carrier frequency offset (CFO), which often occurs due to the mismatch between the local oscillators in transmitter and receiver, limits the performance of multiple-input multiple-output (MIMO) wireless communication systems. To recover the CFO, the first step is coarse CFO estimation. This paper presents a neural network (NN) based coarse CFO estimator which has higher compatibility with a variety of MIMO systems, comparing with traditional CFO estimators. Instead of performing closed form calculation as some traditional estimators do, the proposed estimator transforms the estimation problem to a classification problem: classify the optimal coarse CFO estimate from a pool of coarse CFO candidates. Taking the advantage of neural networks, the proposed NN estimator can perform coarse CFO estimations for MIMO systems with different numbers of antennas and a variety of channel models. Meanwhile, the testing results show that the proposed NN estimator has promising performance and wide CFO acquisition range. INDEX TERMS Coarse CFO estimation, MIMO, neural network, higher compatibility. XINMING HUANG (M'01-SM'09) received the Ph.D. degree in electrical engineering from Virginia Tech, in 2001. He was a Member of Technical Staffs with the Wireless Advanced Technology Laboratory, Bell Labs of Lucent Technologies. Since 2006, he has been a Faculty Member with the Department of Electrical and Computer Engineering, Worcester Polytechnic Institute (WPI), where he is currently a Full Professor. His main research interests include the areas of circuits and systems, with an emphasis on reconfigurable computing, wireless communications, information security, computer vision, and machine learning. ZHE FENG received the B.S. degree from Beijing Jiaotong University and the M.S. degree from the University of Michigan at Ann Arbor. He is currently pursuing the Ph.D. degree with the University of Colorado Boulder. His current research interests include wireless communications and software-defined radio. YOUJIAN LIU (S'98-M'01) received the Ph.D. degree in electrical engineering from The Ohio State University, in 2001. He joined the Department of Electrical and Computer Engineering,

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An Efficient Reduced-Complexity Two-Stage Differential Sliding Correlation Approach for OFDM Synchronization in the AWGN Channel

Cited by 20 publications

References 9 publications

Phase warping and differential scrambling attacks against OFDM frequency synchronization

Phase warping and differential scrambling attacks against OFDM frequency synchronization

Physical layer orthogonal frequency‐division multiplexing acquisition and timing synchronization security

Coarse Frequency Offset Estimation in MIMO Systems Using Neural Networks: A Solution With Higher Compatibility

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