Theoretical Analysis of Noise Figure for Modulated Wideband Converter

Abstract

The Modulated Wideband Converter (MWC) is one of the promising sub-Nyquist sampling architectures for sparse wideband signal sensing, cognitive radio applications and so on. In order to design an MWC-based RF receiver that meets a target RF specification, noise figure (NF) of the MWC has to be well-defined by its design properties. In this paper, we investigate a comprehensive explanation for NF of MWC by an analytic approach based on a proposed notation of an average noise figure (ANF) of the MWC. Consequently, the analysis is proven with simulation results in order to demonstrate its feasibility.

A Calibration Technique for Simultaneous Estimation of Actual Sensing Matrix Coefficients on Modulated Wideband Converters

“…Frequency-domain representation is useful to define a wideband sparse signal rather than its time-domain definition [25]. The frequency-domain representation of a multiband signal can be modeled as…”

“…Based on the MWC settings defined in [6], a basic MWC system is illustrated in Fig. 2 [25]. The main architecture of the MWC is divided into three parts to demonstrate its input and output dependence step by step.…”

“…The parameter q in Table I enables design flexibility between the number of analog channels and the complexity of digital signal processing by increasing the sampling rate of the ADC in each channel to capture more frequency bands into digital domain [25]. Although the detailed explanation is omitted in this paper, in the case of a so-called advanced MWC, q (> 1) digital channels are effectively extracted from a single analog channel [25].…”

“…The parameter q in Table I enables design flexibility between the number of analog channels and the complexity of digital signal processing by increasing the sampling rate of the ADC in each channel to capture more frequency bands into digital domain [25]. Although the detailed explanation is omitted in this paper, in the case of a so-called advanced MWC, q (> 1) digital channels are effectively extracted from a single analog channel [25]. Once we have a digital vector signal, we have to recover support frequencies of active bands in the input wideband sparse signal using Greedy algorithms such as matching pursuit (MP), orthogonal matching pursuit (OMP), etc [26].…”

High-Precision Sub-Nyquist Sampling System Based on Modulated Wideband Converter for Communication Device Testing

“…To use the MWC in a practical RF receiver, it is necessary to estimate the NF of MWC to optimize the sensitivity of the receiver. The NF of the MWC including the contribution of its matrix operation is analytically investigated in [25], [26].…”