An Optimal Nonlinear Detector for Digital Data Transmission Through Non-Gaussian Channels

Rappaport, S.S.; Kurz, L.

doi:10.1109/tcom.1966.1089337

Cited by 65 publications

(28 citation statements)

References 15 publications

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“…This model is studied extensively in the previous works [3], [5], [9]. However, over fading channels, the complex representation is used to model the communication system with impulse noise (see Fig.…”

Section: System Modelmentioning

confidence: 99%

“…where p(·) is given as (9). Since z I,l and z Q,l are jointly distributed, the optimum nonlinearity is jointly processing the IQ components of the received signal r l .…”

Section: Optimum Combinermentioning

confidence: 99%

“…The terms z I,l and z Q,l are the real and imaginary part of complex noise samples z l . The two-term approximation of a complex MCA model (9) can be expressed as…”

Section: B Nonlinearity For Complex Mca Channelsmentioning

confidence: 99%

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A nonlinear diversity combiner of binary signals in the presence of impulsive interference

Saaifan

Henkel

2013

2013 IEEE International Conference on Communications (ICC)

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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 consists of an infinite number of noise states, there is no closedform solution of the optimum nonlinearity. In this paper, we adopt a two-term model for the MCA process, which is further approximated to a simpler noise model. Therefore, we introduce a closed-form approximation of the optimum nonlinearity in the presence of real-valued MCA noise. In fading channels, we use a complex extension of an MCA model. We show how the nonlinearity operation maintains the diversity advantage in such a noise model.

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Section: System Modelmentioning

confidence: 99%

“…where p(·) is given as (9). Since z I,l and z Q,l are jointly distributed, the optimum nonlinearity is jointly processing the IQ components of the received signal r l .…”

Section: Optimum Combinermentioning

confidence: 99%

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A nonlinear diversity combiner of binary signals in the presence of impulsive interference

Saaifan

Henkel

2013

2013 IEEE International Conference on Communications (ICC)

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“…The observations and conclusions of this paper have been based on the results of detailed investigations carried out by the authors [19][20][21][22][23][24][25][26][27] and others [15][16][17][18][28][29][30][31] on the performance of a variety of digital signalling schemes in the presence of impulsive atmospheric noise. These investigations include the coherent and noncoherent basic binary and m-ary schemes like ASK, FSK and PSK and baseband polar signals.…”

Section: Performance Studffismentioning

confidence: 99%

Impulsive Atmospheric Radio Noise in Digital Communications—A Problem for Tropics

Jain

Gupta

1985

IETE Technical Review

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“…It is found that under low SNR assumption, by preceding a conventional OFDM demodulator with memoryless nonlinearity, the adverse effect of impulsive noise gets reduced [3], [4], [5]. In order to mitigate the effect of impulse noise in modern MIMO-OFDM receivers, suboptimal clipping or blanking techniques are used in [6], [7].…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of Various MIMO Detectors in Presence of Gaussian and Non-Gaussian Noise

Kaur¹,

Kaur²

2015

IJCA

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The Multiple-Input Multiple-Output (MIMO) -Orthogonal Frequency Division Multiplexing (OFDM) technology significantly provides high transmission rate and robustness against multi-path fading and other channel impairments. Mostly, MIMO-OFDM system is analyzed only in presence of additive white Gaussian noise (AWGN) only, but in practice, in many actual wireless environments impulsive characteristics are present. In this paper, the performance of various MIMO detectors is analyzed and compared in presence of both AWGN and impulse noise for different modulations and different antenna configurations of MIMO system.

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An Optimal Nonlinear Detector for Digital Data Transmission Through Non-Gaussian Channels

Cited by 65 publications

References 15 publications

A nonlinear diversity combiner of binary signals in the presence of impulsive interference

A nonlinear diversity combiner of binary signals in the presence of impulsive interference

Impulsive Atmospheric Radio Noise in Digital Communications—A Problem for Tropics

Performance Comparison of Various MIMO Detectors in Presence of Gaussian and Non-Gaussian Noise

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