Nonlinear channel estimation using correlation properties of PN sequences

Fernando, Xavier; Sesay, A.B.

doi:10.1109/ccece.2001.933729

Cited by 12 publications

(21 citation statements)

References 6 publications

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“…A Hammerstein model is the reverse of a Wiener model, i.e., a static nonlinear block followed by a FIR linear block. These models play an important role in various fields of application including physiological and biological systems [13,15] and digital communication systems which utilize high-power amplifiers as used in satellites or base stations [8,1]. Several methods have been proposed for identifying Wiener and Hammerstein models.…”

Section: Introductionmentioning

confidence: 99%

Identification of Fifth-order Wiener and Hammerstein Channels based on the Estimation of an Associated Volterra Kernel

Ahmed¹,

Favier²,

Derbel³

2015

IJCA

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In this paper, we consider the problem of identification of fifthorder Wiener and Hammerstein nonlinear communication channels using the estimation of an associated Volterra kernel. We exploit the special form of the fifth-order associated Volterra kernel for deriving two algorithms that allow to estimate the parameters of the linear part of these channels. In the case of a Wiener channel, the associated Volterra kernel is a tensor satisfying a rank-one PA-RAFAC decomposition whose the parameters can be estimated by means of an alternating least squares (ALS) algorithm. In the case of a Hammerstein channel, its associated Volterra kernel is a diagonal tensor, which leads to a closed-form solution for estimating the parameters of the linear block. The coefficients of the nonlinear block modeled as a fifth degree polynomial are then estimated by means of the standard non recursive least squares (LS) algorithm. The performance of the proposed identification methods is illustrated by means of Monte Carlo simulation results.

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Section: Introductionmentioning

confidence: 99%

Identification of Fifth-order Wiener and Hammerstein Channels based on the Estimation of an Associated Volterra Kernel

Ahmed¹,

Favier²,

Derbel³

2015

IJCA

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“…This problem can be overcome by extracting x1w1 (σ) using multilevel testing and the Vandermonde matrix. Refer to [3] and [1] for an explanation on this extraction technique.…”

Section: Estimation Via Correlation 41 Input/output Correlationmentioning

confidence: 99%

“…This sort of environment may be encountered in a highly restricted indoor area and therefore has practical limitations. In this paper, by extending the work in [1] and [6], we propose the identification of a Wiener system in a multiuser CDMA discrete-time passband communication system where each user encounters a different wireless channel; we also include the effects of both wireless and optical channel noise. We then propose an algorithm to alleviate MAI which in turn improves identification accuracy.…”

Section: Introductionmentioning

confidence: 99%

“…The idea in this paper is to apply the concept of Wiener representation to the fiber-wireless domain. A complete identification of a Wiener system has already been performed in [1] for a single user. The use of PN sequences is attractive because they are already widely used in spread spectrum communications.…”

Section: Introductionmentioning

confidence: 99%

“…In order to limit the effect of these distortions, estimation, and subsequently equalization of the concatenated fiber-wireless channel should be done. The estimation of the fiber-wireless uplink was done in a single user CDMA environment in [1]. This paper focuses on estimation in a multiuser CDMA environment by utilizing the properties of pseudonoise (PN) spreading codes.…”

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confidence: 99%

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Estimation of radio-over-fiber uplink in a multiuser CDMA environment using PN spreading codes

Pintér

Fernando

Canadian Conference on Electrical and Computer Engineering, 2005.

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Two of the major issues with radio-over-fiber (ROF) technology for wireless communications are the nonlinear distortion of the optical link and the multipath dispersion of the wireless channel. In order to limit the effect of these distortions, estimation, and subsequently equalization of the concatenated fiber-wireless channel should be done. The estimation of the fiber-wireless uplink was done in a single user CDMA environment in [1]. This paper focuses on estimation in a multiuser CDMA environment by utilizing the properties of pseudonoise (PN) spreading codes. We also consider both wireless channel and optical receiver noise. Furthermore, we propose a new iterative technique to mitigate the adverse effect of multiple access interference (MAI) on the identification process. Numerical evaluations of the developed algorithm show a good estimation of both the linear and nonlinear systems with 10 users, an SNR of 25 dB between the mobile user and RAP, and an optical noise power equalling the wireless noise power.

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Concatenated fibre-wireless channel identification in a multiuser CDMA environment

Pintér

Fernando

2007

IET Commun.

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Radio-over-fibre (ROF) has received increasing attention for its ability to enable broadband wireless access. This fibre-based wireless access scheme meets the demand for broadband service by integrating the high capacity of optical networks with the flexibility of radio networks (the optical and wireless channels are concatenated with one another). There are, however, impairments that come with this appealing technology. The nonlinear distortion of the optical link and the multipath dispersion of the wireless channel are two of the major factors. In order to limit the effects of these distortions, estimation, and subsequently equalisation, of the concatenated fibrewireless channel needs to be done. An estimation algorithm for the fibre-wireless uplink in a multiuser code division multiple access (CDMA) environment is presented using pseudonoise training sequences. It has already been shown by Fernando et al. (2001) that identification of the fibrewireless uplink is possible in a single user CDMA environment. However, the more difficult task of identification in a multiuser spread spectrum environment, which is more realistic, is shown. In the multiuser case, the cumulative effect of multiuser interference, multipath dispersion, nonlinear distortion and noise should all be handled together which makes it more challenging. Numerical evaluations of the developed algorithm show that a good estimation of both the linear and nonlinear systems is possible in the presence of 16 independent users and an signalto-noise ratio (SNR) of 22 dB. The estimation accuracy increases with the length of the PN sequence.

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Nonlinear channel estimation using correlation properties of PN sequences

Cited by 12 publications

References 6 publications

Identification of Fifth-order Wiener and Hammerstein Channels based on the Estimation of an Associated Volterra Kernel

Identification of Fifth-order Wiener and Hammerstein Channels based on the Estimation of an Associated Volterra Kernel

Estimation of radio-over-fiber uplink in a multiuser CDMA environment using PN spreading codes

Concatenated fibre-wireless channel identification in a multiuser CDMA environment

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