A new digital modulation technique proposed [3] by Dr. Chance M. Glenn is presented and analyzed in this report. The report explains the MOC algorithm as a means of creating information-bearing baseband signals for modulation in digital communications. The process uses the natural diversity of chaotic oscillations. An orthogonal triplet of waveforms is extracted from the oscillations produced by a chaotic process. A simple digital communication system is built, which uses this triplet as basis waveforms to formulate a baseband waveform.

There is a lot of research work done and still going on to use chaotic oscillations in the communication system. The previously proposed communication systems have a disadvantage of not retrieving the data back at the demodulator as the demodulator need to be synchronized with the modulator, which cannot be implemented in real time.

We propose a new way of using chaotic oscillations. The work done and contribution toward the thesis includes finding sets of mutually orthogonal chaotic waveforms using the data collected from the various chaotic oscillations, finding an optimal set of chaotic waveforms that can be used in the communication system. We demonstrated the implementation of the communication system using Matlab and Simulink. We simulated and analyzed the communication system built based on the MOC waveforms. We compared the results yielded with other modulation schemes like QAM, QPSK. The goal is to show that the system outperforms other comparable modulation/multiplexing techniques. We’ll use concepts such as the spectral efficiency and bit error rate to show and compare the results.