Dirty RF: A New Paradigm Invited Paper

Fettweis, Gerhard; Löhning, Michael; Petrovic, D.; Windisch, Marcus; Zillmann, Peter; Rave, Wolfgang

doi:10.1109/pimrc.2005.1651863

Cited by 46 publications

(9 citation statements)

References 19 publications

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“…Such mitigation methods consist in adding a band pass filter to attenuate the leaked transmitted signal in the Rx stage before or after the LNA [10]. As radio frequency (RF) transceivers contain more and more digital parts, and as signalprocessing techniques are becoming an area of interest for RF impairments problematic [11], several digital compensation methods have been investigated in the past few years for the Tx leakage (TxL) compensation [5,9,12].…”

Section: Introductionmentioning

confidence: 99%

Performance of fractional delay estimation in joint estimation algorithm dedicated to digital Tx leakage compensation in FDD transceivers

Gerzaguet

Ros

Belvèze

et al. 2017

J Wireless Com Network

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This paper deals with the performance of the fractional delay estimator in the joint complex amplitude/delay estimation algorithm dedicated to digital Tx leakage compensation in FDD transceivers. Such transceivers suffer from transmitter-receiver signal leakage. Combined with non linearity of components in the receiver path, the baseband received signal is impaired by a baseband polluting signal. This baseband polluting term depends on the equivalent Tx leakage channel which models leakages of the receiver path. In (Gerzaguet et al., Digit. Signal Proc 51:35-46, 2016), we have proposed a Tx leakage interference cancellation algorithm based on joint estimation of the complex gain and the fractional delay of the equivalent Tx leakage channel and we have derived the asymptotic performance of the complex gain estimator, that showed the necessity of the fractional delay estimation. In this paper, we propose a comprehensive study of the fractional delay estimation algorithm and its analytic performance. The study is based on the analysis of the S-curve and loop noise variance of the timing error detector, from which an approximation of the asymptotic performance of the joint estimation algorithm is derived.

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Section: Introductionmentioning

confidence: 99%

Performance of fractional delay estimation in joint estimation algorithm dedicated to digital Tx leakage compensation in FDD transceivers

Gerzaguet

Ros

Belvèze

et al. 2017

J Wireless Com Network

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“…The implementation of the necessary components, for tuning in the RF circuitry, and the high integration effects produce performance degradation on the RF circuitry. The dirty radio approach proposes that all undesirable effects in the analog front end could be compensated in the digital front end by means of pure digital signal processing. In the future, it is desirable that RF with tuning capabilities will also have digital signal processing capabilities to compensate any hardware imperfection effects .…”

Section: Introductionmentioning

confidence: 99%

Digital compensation of second‐ and third‐order nonlinear distortions generated by blocker signals

Mendoza‐Valencia

Laguna-Sanchez

Prieto‐Guerrero

2016

IEEJ Transactions Elec Engng

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Deeply integrated systems in chips commonly include a digital and an analog front end on the same die. These analog frontend schemes for wireless communications could be implemented under the concept called software-defined radio (SDR). Digital signal processing is commonly used to perform signal filtering and channel equalization, and, recently, to improve front-end radio performance by removing the undesirable effects of the analog front-end imperfections. These wide-band SDR are currently implemented without the surface acoustic wave (SAW) filter, because it is difficult to integrate a highly configurable one, as is required in wide-band systems. An analog front end without this filter has no efficient protection against blocker signal effects, specifically against nonlinear distortions due to the analog front-end imperfections. This paper proposes an algorithm to simultaneously remove second-and third-order nonlinear distortions caused by a blocker signal, departing from a behavioral model and a band-pass sampling pure digital algorithm to recover the blocker signal information.

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“…In recent years, raw processing power of mobile radios has been greatly increasing. This has allowed implementation of various computationally intensive digital signal processing (DSP) stages in radios, e.g., for data detection and decoding purposes to improve the overall receiver and link performance [1]. In addition, by using the available DSP power, some nonidealities of the used radio frequency (RF) electronics can be reduced, enabling the use of cheaper, smaller, and less power consuming analog radio components [1].…”

Section: Introductionmentioning

confidence: 99%

“…This has allowed implementation of various computationally intensive digital signal processing (DSP) stages in radios, e.g., for data detection and decoding purposes to improve the overall receiver and link performance [1]. In addition, by using the available DSP power, some nonidealities of the used radio frequency (RF) electronics can be reduced, enabling the use of cheaper, smaller, and less power consuming analog radio components [1]. Good examples are, e.g., power amplifier linearization, I/Q imbalance compensation, reduction of mixer nonlinearities, just to name a few [1].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, by using the available DSP power, some nonidealities of the used radio frequency (RF) electronics can be reduced, enabling the use of cheaper, smaller, and less power consuming analog radio components [1]. Good examples are, e.g., power amplifier linearization, I/Q imbalance compensation, reduction of mixer nonlinearities, just to name a few [1]. Due to the above-mentioned rapid advances in digital implementation techniques, the available processing power has risen while also lowering the costs, size, and power consumption of the usable processing units at the same time.…”

Section: Introductionmentioning

confidence: 99%

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Analysis and mitigation of phase noise and sampling jitter in OFDM radio receivers

Syrjälä

Valkama

2010

Int. j. microw. wirel. technol.

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This article addresses the analysis and digital signal processing (DSP)-based mitigation of phase noise and sampling clock jitter in orthogonal frequency division multiplexing (OFDM) radios. In the phase noise studies, the basic direct-conversion receiver architecture case is assumed with noisy downconverting oscillator. In the sampling jitter case, on the other hand, the so-called direct-radio-frequency-sampling receiver architecture is deployed utilizing bandpass sub-sampling principle. The basis for the DSP-based impairment mitigation techniques is first formed using analytical receiver modeling with incoming OFDM waveform, where the effects of both oscillator phase noise and sampling clock jitter are mapped to certain type subcarrier cross-talk and distortion compared to ideal receiver case. Then iterative detection principles and interpolation techniques are developed to essentially estimate and cancel the subcarrier distortion. Also some related practical aspects, like channel estimation, are addressed. The performance of the proposed mitigation techniques is analyzed and verified with extensive computer simulations. In the simulations, realistic phase-locked-loop-based oscillator models are used for phase noise and sampling clock jitter. In addition, different received signal conditions like plain additive white Gaussian noise channel and extended ITU-R Vehicular A multipath channel are considered for practical purposes. Altogether the obtained results indicate that the effects of oscillator and sampling clock instabilities can be efficiently reduced using the developed signal processing techniques.

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Dirty RF: A New Paradigm Invited Paper

Cited by 46 publications

References 19 publications

Performance of fractional delay estimation in joint estimation algorithm dedicated to digital Tx leakage compensation in FDD transceivers

Performance of fractional delay estimation in joint estimation algorithm dedicated to digital Tx leakage compensation in FDD transceivers

Digital compensation of second‐ and third‐order nonlinear distortions generated by blocker signals

Analysis and mitigation of phase noise and sampling jitter in OFDM radio receivers

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