The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a 3rd-order continuous-time direct RF-to-digital ΔΣ receiver architecture for flexible receivers. Adopted passive mixer with inherited high-Q bandpass filtering and passive integrator enables a low complexity and low power consumption implementation. Moreover, high flexibility can be achieved thanks to a flexible frequency plan of the architecture. In order to verify the features...
Deep convolutional neural networks (CNNs) has been developed for a wide range of applications such as image recognition, nature language processing, etc. However, the deployment of deep CNNs in home and mobile devices remains challenging due to substantial requirements for computing resources and energy needed for the computation of high-dimensional convolutions. In this paper, we propose a novel...
In recent years, the using of energy having in the natural environment has drawn attention of many researchers in the world. And the energy harvesting (EH) protocol is a ideal point focusing the study of many scientists especially in wireless communication systems. This paper deals with the EH architecture of the full duplex relay networks. Through utilizing the time switching based relaying (TSR)...
The Direct RF-to-Digital $\Delta\Sigma$ receiver has emerged as an attractive solution for multi-band multi-standard wireless applications. This architecture is a direct RF to baseband digitizer with RF feedback from baseband to RF stages. The presence of the RF blocks such as the low noise amplifier and down-conversion mixer inside the loop filter significantly relaxes their linearity requirements...
This paper presents a reconfigurable 2nd/3rd-order discrete-time direct RF-to-digital ΔΣ receiver architecture for wide frequency range flexible receivers. Using 25% duty-cycle current-driven passive mixer along with RF feedback enables high-Q bandpass filtering and relaxes the linearity requirement on LNTA. Moreover, the passive/active implementation of the loop filter gives a good trade-off between...
This paper deals with the study of a new correction structure for the distortion compensation in direct digitization receivers. In that purpose, a modified post-distortion algorithm including an efficient adaptive filter is used. Performance have been demonstrated on measurements from a state of the art wideband TI-ADC and from an entire direct-digitization RF receiver. On the TI-ADC, with a two-tone...
This paper presents a model of direct delta-sigma receiver (DDSR) and methodology for theoretical transfer function (TF). The theoretical analysis is carried out by modeling the key elements of the DDSR, including the N-path filter, down-conversion mixer, baseband delta sigma modulator (DSM) and FIRDACs in order to optimize the loop filter coefficients. The contribution of different noise sources...
Cognitive radio system (CRS) is a disruptive technology targeting very high spectral efficiency. This paper presents an overview of CRS and summarizes the related regulation and standardization status. We point out some key research challenges, especially implementation challenges of cognitive radio and deduce research directions in CRS. Despite numerous challenges, the timeframe for the success of...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.