Synthesis and reactivity of nitrogen-containing strained cyclic 1,2,3-trienes. [PDF]
Nat SynthWitkowski DC +4 more
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Radio frequency interface quality assessment in 4G/5G: Effects of IQ imbalance, phase noise, and nonlinearities on error vector magnitude. [PDF]
PLoS OnePyatin I, Boiko J, Kovtun V, Kovtun O.
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Investigation on the performance of photonics-aided W-band millimeter-wave wireless transmission. [PDF]
HeliyonTao L +6 more
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Hybrid VLC-RF Channel Estimation for GFDM Wireless Sensor Networks Using Tree-Based Regressor. [PDF]
Sensors (Basel)Aladwani AI +3 more
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The Effects of Digital Predistortion in a CO-OFDM System—A Stochastic Approach [PDF]
IEEE Photonics Technology Letters, 2020 Digital predistortion is topic of significant interest in telecommunications – both in the wireless radio field and, more recently, in photonics. In the present letter, the authors undertake a sensitivity analysis of various digital predistortion ...
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A novel digital predistortion technique for adaptive predistorter applications
2007 European Microwave Conference, 2007This paper presents a novel predistortion technique for a radio frequency (RF) /microwave power amplifier (PA). To model the nonlinear system, an infinite impulse response (IIR) model is proposed. By sampling the both transmitter system input and output, the low order IIR coefficients can be easily extracted. The IIR model of the system is then use for
null Yi Qin, Peter Gardner
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Digital Predistortion for Narrowband IoT Applications
2018 International Conference on Signal Processing and Communications (SPCOM), 2018Narrowband Internet-of-Things (NB-IoT) applications can be deployed in licensed and unlicensed bands. Spectrum allocation for Narrowband IoT is often in-between licensed spectrum or available white space frequency bands and the designer is expected to meet stringent spectral mask requirements.
Kumar S. Yuva +2 more
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Benchmarking of learning architectures for digital predistortion
2016 50th Asilomar Conference on Signals, Systems and Computers, 2016Indirect and direct learning architectures are the two main parameter identification approaches for digital predistortion systems. While the indirect scheme is less complex, its inherent shortcomings are avoided by the direct learning approach. Trying to answer the question whether this advantage of the direct approach can be exploited in terms of ...
Thomas Magesacher, Peter Singerl
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Digital predistortion based on envelope feedback
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012A new digital predistortion (DPD) technique based on envelope feedback is proposed for linearization of power amplifiers (PAs). Unlike conventional DPD techniques that need frequency down converters (FDCs) in the feedback path to recover the complex envelope of the PA output, the proposed technique does not need an FDC.
Jinhyun So +4 more
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Performance analysis for scalar digital predistortion
2013 IEEE Topical Conference on Power Amplifiers for Wireless and Radio Applications, 2013The scalar digital predistortion (DPD) technology is an attractive linearization method for power amplifier (PA). By using the method, the hardware is simplified greatly because only the out-band distortion power is feedback to train the predistorter.
Zhan Shi +3 more
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