LTE Signal Detection Using Two-Stage Cooperative Compressive Sensing System

Abstract

The limited resources of spectra is still an issue for internet of things, commercial transmissions, high power consumed in front ends, and green communications applications. In this paper, a compressive sensing to detect a wideband long term evolution (LTE) signal has been proposed. Since such signals have a higher power, costly receiver hardware is required. In literature, many of traditional compressive sensing systems are suffered from mathematical complexity to reconstruct the original signals. Nonetheless, the reconstruction process is not required in the proposed system rather than the noise is decreased to enhance the sensing process. To achieve this goal, the proposed system contains two compression cascaded stages; discrete Daubechies transform and discrete cosine transform. The results uncovered significant sensing performance with a more than 50% compression ratio for centralized cooperative secondary users.