Higher order adaptive filter based predistortion for nonlinear distortion compensation of radio over fiber links

Fernando, Xavier; Sesay, A.B.

doi:10.1109/icc.2000.853283

Cited by 29 publications

(32 citation statements)

References 5 publications

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“…Strictly speaking RoF link nonlinearities has memory, but up to several Mbps bit rate it can be modelled as a memoryless system [18] and this assumption is utilized here. The experimental AM/AM and AM/PM distortion characteristics [19] are used to formulate a third order polynomial representing the RoF link characteristics. These polynomials are given in equations (5) and (6), where , , represent the output power, input power and phase shift of the link respectively:…”

Section: Implementation and Simulation Resultsmentioning

confidence: 99%

Neural network based adaptive predistortion for radio over fiber links

Awoye

Leeson

Green

2012

2012 14th International Conference on Transparent Optical Networks (ICTON)

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Nonlinearity in the response of the optical source responsible in the electrical-to-optical conversion process limits the dynamic range performance in transmitting analog and multilevel digital signals over fiber optic link channels. Fiber-based wireless access schemes provide a unique possibility for digital linearization. We describe a technique for predistorting the dynamic response of the optical source using a Radial Basis Functional Neural Network (RBFNN). The input and output data from the link provide the samples used to train the RBFNN. A simple method employing the Least Squares (LS) algorithm is used to provide an optimization to the predistorter NN. Simulation results demonstrate the simplicity of this method compared to other NN architectures and linearization techniques. This result is used in this paper to demonstrate the feasibility of the technique in providing an adaptive predistortion solution for wireless applications.

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Section: Implementation and Simulation Resultsmentioning

confidence: 99%

Neural network based adaptive predistortion for radio over fiber links

Awoye

Leeson

Green

2012

2012 14th International Conference on Transparent Optical Networks (ICTON)

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“…Some approaches have been proposed to solve the problem of NLD [17,18]. Nonlinear nature of direct modulation will introduce phase shift to QPSK symbols in our system.…”

Section: Principle Of Full-duplex Fiber-wireless-fiber Linkmentioning

confidence: 99%

Fiber–wireless–fiber link for 20-Gb/s QPSK signal delivery at W-band with DML for E/O conversion in wireless–fiber connection

Chen

Xiao

et al. 2015

Optics Communications

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“…be expressed as a MIMO Wiener filter [1], [2], [3]. That and means that the discrete-time baseband received signals after E/O conversion can be expressed as the output of a MIMO Volterra system: is the spread signal transmitted by user t and associated with chip p of time instant n, T is the number of users and vr,n,p is the Additive White Gaussian Noise (AWGN).…”

Section: Parafac Decompositionmentioning

confidence: 99%

“…In this case, the nonlinear distortion arising from the E/O conversion process becomes preponderant. Moreover, up to several Mbps, the ROF channel can be considered as a memoryless link [2]. Thus, the channel is composed of a wireless link, which can be modeled as a linear instantaneous mixture, followed by an electrical-optical (E/O) conversion, modeled as a memoryless nonlinearity.…”

Section: Introductionmentioning

confidence: 99%

“…In such systems, the uplink transmission is done from a mobile station towards a Radio Access Point (RAP), the transmitted signals being converted in optical frequencies by a laser diode and then retransmitted through optical fibers. Important nonlinear distortions are introduced by the electrical-optical (E/O) conversion [1], [2], [3]. When the length of the optical fiber is short (few kilometers) and the radio frequency has an order of GHz, the dispersion of the fiber is negligible [4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Tensor based receivers for nonlinear Radio Over Fiber uplinks in multiuser CDMA systems

Fernandes¹,

Favier²,

Mota³

2008

2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications

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International audienceTwo semi-blind tensor based receivers for uplink radio over fiber (ROF) nonlinear instantaneous channels in a multiuser code division multiple access (CDMA) environment are proposed in this paper. These receivers are based on the PARAFAC decomposition of a tensor (three-way array) composed of received signals with space, time and code diversities. A great advantage of the tensor approach is that it allows joint blind estimation of the channel and transmitted signals under weak uniqueness conditions compared with existing methods, which is particularly suitable when identifying nonlinear systems. Two estimation algorithms are proposed and illustrated by means of computer simulations

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Higher order adaptive filter based predistortion for nonlinear distortion compensation of radio over fiber links

Cited by 29 publications

References 5 publications

Neural network based adaptive predistortion for radio over fiber links

Neural network based adaptive predistortion for radio over fiber links

Fiber–wireless–fiber link for 20-Gb/s QPSK signal delivery at W-band with DML for E/O conversion in wireless–fiber connection

Tensor based receivers for nonlinear Radio Over Fiber uplinks in multiuser CDMA systems

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