Khodr A. Saaifan

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—The Middleton Class-A (MCA) model is one of the most widely applied models for narrow-band impulsive interference superimposed to additive white Gaussian noise (AWGN). The MCA noise process consists of an infinite number of Gaussian-distributed noise states with different variances. As a result, the optimum detector has irreducible form. Here, our analysis(More)
—The Middleton Class-A (MCA) model is one of the most accepted models for narrow-band impulsive interference superimposed to additive white Gaussian noise (AWGN). The MCA density consists of a weighted linear combination of infinite Gaussian densities, which leads to a non-tractable form of the optimum detector. To reduce the receiver complexity, one can(More)
In this paper, blind adaptive multiuser detection (MUD) technique is developed for uplink transmission in multiuser space diversity DS-CDMA system to overcome multipath fading effect and multiple access interference. The system consists of a space diversity, a precombining blind adaptive detector (PBAD), and a weight adaptation technique based on the(More)
—A Middleton Class-A (MCA) model is one of the most accurate statistical-physical models for narrowband impulse noise. The previous studies show that time diversity can efficiently be used to reduce the impact of MCA noise. The optimum combiner in such noise consists of a nonlinear preprocessor followed by a conventional combiner. Since an MCA noise process(More)
—The Middleton Class-A (MCA) model represents one of the most widely applied models for narrow-band impulsive interference superimposed to additive white Gaussian noise (AWGN). The MCA noise process has an infinite state of Gaussian densities, which lead to an irreducible optimum detector. Here, our analysis is based on a two-state model for noise, where we(More)
—A Middleton Class-A (MCA) density is well known to model impulsive interference. The statistical-physical extension of this model for multiple receive antennas is currently limited to two antennas. An algebraic extension of the univariate MCA model leads to a multivariate MCA distribution, which can be used for an arbitrary number of receive antennas.(More)
—In MIMO transmission, channel state information (CSI) is crucial for achieving channel adaptation. However, the inaccuracy of CSI may induce severe interferences. Hereto, limitations of linear equalizers to combat severe interference and noise enhancements necessitate the need for investigating non-linear equalization schemes. Thus, we propose a modified(More)
A Class-A density is well known to model inter­ ference, which is impulsive by nature. This model is expressed as a weighted infinite linear combination of Gaussian densities with different variances. The extension of this model for multiple receiving antennas is currently limited to two antennas. An algebraic extension leads to a multivariate Class-A(More)
—The inlay approach for the Broadband Aeronautical Multicarrier Communications (B-AMC) system is exposed to severe interference from the adjacent channels of the distance measuring equipment (DME) system. Here, we propose a simple technique to mitigate DME interference and subsequently enable transmission in the spectral gaps of the DME channels. The(More)