The impact of RF front-end characteristics on the spectral regrowth of communications signals

Gard, K.G.; Larson, L.E.; Steer, M.B.

doi:10.1109/tmtt.2005.848801

Cited by 60 publications

(31 citation statements)

References 14 publications

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“…These models often include memory-effects, which become very significant as modulated data signal increases to megahertz bandwidths. There are also amplifier models which place more emphasis on modeling amplifier compression behavior [33]. These limiting amplifier models are more useful in distributed estimation applications.…”

Section: Power Amplifier Modelingmentioning

confidence: 99%

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Energy-Efficient Distributed Estimation by Utilizing a Nonlinear Amplifier

Santucci

Banavar

Tepedelenlioğlu

et al. 2014

IEEE Trans. Circuits Syst. I

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Distributed estimation uses many inexpensive sensors to compose an accurate estimate of a given parameter. It is frequently implemented using wireless sensor networks. There have been several studies on optimizing power allocation in wireless sensor networks used for distributed estimation, the vast majority of which assume linear radio-frequency amplifiers. Linear amplifiers are inherently inefficient, so in this dissertation nonlinear amplifiers are examined to gain efficiency while operating distributed sensor networks. This dissertation demonstrates that implementing distributed estimation using nonlinear sensors can boost system efficiency and is compatible with existing techniques from the literature for boosting efficiency at the system level via sensor power allocation.Nonlinear transmitters work best when channel gains are known and channel noise and receiver noise levels are low.

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Section: Power Amplifier Modelingmentioning

confidence: 99%

“…Models are also available which pay more attention to the amplifier's compression characteristics than its memory effects [33]. These models are of greater interest when working with distributed estimation applications where data is usually transmitted more slowly, making memory effects less significant.…”

Section: Memoryless Limiting Amplifier Modelsmentioning

confidence: 99%

Energy-Efficient Distributed Estimation by Utilizing a Nonlinear Amplifier

Santucci

Banavar

Tepedelenlioğlu

et al. 2014

IEEE Trans. Circuits Syst. I

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“…Considering a fifth-order orthogonalized power series model, the correlation coefficients a nm (t) can be evaluated from (8) and using the properties of complex Gaussian random processes [19] (see Appendix):…”

Section: B Nbgn Model For Input Signal and Noisementioning

confidence: 99%

Simulation of noise figure of nonlinear amplifiers using the orthogonalization of the nonlinear model

Gharaibeh

2009

Int J RF and Microwave Comp Aid Eng

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A simulation procedure of noise figure (NF) of nonlinear amplifiers is developed. NF is defined in terms of the effective signal-to-noise ratio (SNR) at the output of a nonlinear amplifier. The effective output SNR when the input consists of a communication signal plus Gaussian noise is evaluated through the identification of the effective output noise and nonlinear distortion power using the orthogonalization of the nonlinear model. The approach is useful for the assessment of noise performance of low-noise amplifiers in wireless systems.

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“…Transmitter imperfections that can produce RF fingerprints are originated from analogous components. The analog components (digital-to-analog converters, band-pass filters, frequency mixers and power amplifiers) present in the radio transmit chain are mainly responsible for the unique features [2].…”

Section: Introductionmentioning

confidence: 99%

Effect of channel impairments on radiometric fingerprinting

Rehman

Sowerby

Alam

et al. 2015

2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

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Abstract-To increase network security and mitigate identity theft attacks, much of the research is focused on traditional bit-level algorithmic. In conventional wireless networks, security issues are primarily considered above the physical layer and are usually based on bit-level algorithms to establish the identity of a legitimate wireless device. Physical layer security is a new paradigm in which features extracted from an analog signal can be used to establish the unique identity of a transmitter. Our previous research work into Radiometric fingerprinting has shown that every transmitter has a unique fingerprint owing to imperfections in the analog components present in the RF front end. However, to the best of the author's knowledge, no such example is available in the literature in which the effect of radio channel on Radiometric fingerprint is evaluated. This paper presents the simulation and experimental results for radiometric fingerprinting under an indoor varying radio channel. Contrary to popular assumption, it was found that the fingerprinting accuracy is little affected in an indoor channel environment.

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The impact of RF front-end characteristics on the spectral regrowth of communications signals

Cited by 60 publications

References 14 publications

Energy-Efficient Distributed Estimation by Utilizing a Nonlinear Amplifier

Energy-Efficient Distributed Estimation by Utilizing a Nonlinear Amplifier

Simulation of noise figure of nonlinear amplifiers using the orthogonalization of the nonlinear model

Effect of channel impairments on radiometric fingerprinting

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