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- Olivier Besson, Mounir Ghogho, Ananthram Swami
- IEEE Trans. Signal Processing
- 1999

— We consider the problem of estimating the parameters of a chirp signal observed in multiplicative noise, i.e., whose amplitude is randomly time-varying. Two methods for solving this problem are presented. First, an unstructured nonlinear least-squares approach (NLS) is proposed. It is shown that by minimizing the NLS criterion with respect to all samples… (More)

- Philippe Ciblat, Mounir Ghogho, Philippe Forster, Pascal Larzabal
- Signal Processing
- 2005

- Mounir Ghogho, Desmond C. McLernon, Enrique Alameda-Hernandez, Ananthram Swami
- IEEE Signal Processing Letters
- 2005

We address the problem of frequency-selective channel estimation and symbol detection using superimposed training. The superimposed training consists of the sum of a known sequence and a data-dependent sequence that is unknown to the receiver. The data-dependent sequence cancels the effects of the unknown data on channel estimation. The performance of the… (More)

- Mounir Ghogho, Ananthram Swami, Georgios B. Giannakis
- GLOBECOM
- 2001

We address the problem of frequency synchronization in OFDM-based communications systems in the context of frequency-selective fading channels. Frequency offsets are estimated by inserting null sub-carriers into a single OFDM block. The paper clarifies issues related to acquisition range and identifiability of carrier frequency offset (CFO), and performance… (More)

- Eric Pierre Simon, Laurent Ros, Hussein Hijazi, Mounir Ghogho
- IEEE Transactions on Signal Processing
- 2012

In this paper, the problem of joint carrier frequency offset (CFO) and channel estimation for OFDM systems over the fast time-varying frequency-selective channel is explored within the framework of the expectation-maximization (EM) algorithm and parametric channel model. Assuming that the path delays are known, a novel iterative pilot-aided algorithm for… (More)

- Saleh O. Al-Jazzar, Mounir Ghogho, Desmond C. McLernon
- IEEE Trans. Vehicular Technology
- 2007

On limits of wireless communications in a fading environment when using multiple antennas, " Wirel. Pers. Layered space–time architecture for wireless communication in a fading environment when using multi-element antennas, " Bell Labs Tech. The finite-length multi-input multi-output MMSE-DFE, " IEEE Trans. turbo receiver space–time BICM over… (More)

- Mounir Ghogho, Ananthram Swami, Bernard Garel
- IEEE Trans. Signal Processing
- 1999

— The problem of estimating the frequencies of harmonics in multiplicative and additive noise is addressed. The cyclic mean (CM) can be used if the multiplicative noise has nonzero mean; the cyclic variance (CV) can be used whether or not the multiplicative noise has zero mean. This paper answers the following question: Under what conditions should we use… (More)

This paper addresses the problem of training design for frequency-selective channel and carrier frequency-offset (CFO) estimation in single- and multiple-antenna systems under different energy-distribution constraints. The performance metric used here is the Cramer-Rao bound (CRB). The paper first addresses the CFO-free case and then generalizes the results… (More)

- Qinfei Huang, Mounir Ghogho, Jibo Wei, Philippe Ciblat
- IEEE Transactions on Signal Processing
- 2010

In this paper, we investigate the timing and carrier frequency offset (CFO) synchronization problem in decode and forward cooperative systems operating over frequency selective channels. A training sequence which consists of one orthogonal frequency-division multiplexing (OFDM) block having a tile structure in the frequency domain is proposed to perform… (More)

- Mounir Ghogho, Ananthram Swami
- IEEE Communications Letters
- 2002

—We address the problem of carrier frequency offset (CFO) synchronization in OFDM communications systems in the context of frequency-selective fading channels. We consider the case where the transmitted symbols have constant modulus, i.e., PSK constellations. A novel blind CFO estimation algorithm is developed. The new algorithm is shown to greatly… (More)