A New Approach to QPSK: Mechanism, Simulation and Implementation

Abstract

The work reported in this paper serves two purposes. First, an alternative comprehensive approach is proposed for the understanding of the mechanism behind QPSK. This focuses on how a QPSK modulator decides to represent each pair of bits to be transmitted, by which of its four possible phase shifts. This approach is based entirely on the analysis of phasors and is completely mathematicsless. The second part of this work proposes a method by which complex modulation schemes, like QPSK, can be implemented using only fi rst degree components in Simulink, avoiding all the hurdles of mathematically complicated blocks. The implementation, in the second part, confi rms the viability of the approach in the fi rst part of this work. Results show that the data received on the other end of a noiseless channel exactly matches the data sent despite a slight unavoidable delay. The proposed method for implementing QPSK can be used directly as a laboratory exercise for undergraduate students new to digital communication techniques.

Analyzing factors of Gui simulation as learning media toward students' learning outcomes

“…Nagarjuna, Lakshmi and Nehru (2019) used LabVIEW software to build a system model to study frequency division multiplexing. Abuelmaatti, Abuelma'atti, Thayne and Beaumont, (2010) used Simulink to study complex modulation schemes such as QPSK. Meanwhile, Avallone & Di Stasi (2016) used WiMesh, a software tool that is used to learn multi-radio wireless mesh networks.…”

A linearized amplifier using self-mixing feedback technique

“…Third-order intermodulation distortion (IMD3) terms are generated by several mixing mechanisms in a two-tone test [3]. Transistors have nonlinearity including second-order distortion, third-order distortion, fourth-order distortion, and so on.…”