PROJECT TITLE :

Intentional Aliasing Method to Improve Sub-Nyquist Sampling System - 2018

ABSTRACT:

A modulated wideband converter (MWC) has been introduced as a sub-Nyquist sampler that exploits a collection of quick alternating pseudo random (PR) signals. Through parallel analog channels, an MWC compresses a multiband spectrum by mixing it with PR signals within the time domain, and acquires its sub-Nyquist samples. Previously, the ratio of compression was totally obsessed with the specifications of PR signals. That's, to more reduce the sampling rate without info loss, faster and longer-period PR signals were needed. But, the implementation of such PR signal generators leads to high power consumption and large fabrication area. In this Project, we tend to propose a unique aliased modulated wideband converter (AMWC), which will more cut back the sampling rate of MWC with mounted PR signals. The main plan is to induce intentional signal aliasing at the analog-to-digital converter (ADC). In addition to the primary spectral compression by the signal mixer, the intentional aliasing compresses the mixed spectrum once once more. We have a tendency to demonstrate that AMWC reduces the quantity of analog channels and the rate of ADC for lossless sub-Nyquist sampling while not eager to upgrade the speed or the amount of PR signals. Conversely, for a given mounted variety of analog channels and sampling rate, AMWC improves the performance of signal reconstruction.