Abstract

Previously a novel chaos M-ary digital communication method based on spatiotemporal chaos Hamilton oscillator has been proposed. Without chaos synchronization circumstance, it has performance improvement in bandwidth efficiency, transmission efficiency and anti-white-noise performance compared with traditional communication method. In this paper, the channel noise influence on chaotic modulation signals and the construction problem of anti-color-noise chaotic M-ary communication system are studied. The formula of zone partition demodulator’s boundary in additive white Gaussian noise is derived, besides, the problem about how to determine the boundary of zone partition demodulator in additive color noise is deeply studied; Then an approach on constructing anti-color-noise chaos M-ary communication system is proposed, in which a pre-distortion filter is added after the chaos baseband modulator in the transmitter and whitening filter is added before zone partition demodulator in the receiver. Finally, the chaos M-ary communication system based on Hamilton oscillator is constructed and simulated in different channel noise. The result shows that the proposed method in this paper can improve the anti-color-noise performance of the whole communication system compared with the former system, and it has better anti-fading and resisting disturbance performance than Quadrature Phase Shift Keying system.

Highlights

  • Chaos theory has been developed very rapidly in recent years, and has found an increasingly wide utilization in many fields, such as literature.1–4 Chaos is sensitive to initial value, unpredictable and disorderly, these characteristics makes chaotic systems unstable and aperiodic, making them naturally harder to identify and to predict

  • The chaos trajectory boundary affected by color and white noise is studied deeply, and the designing approach of chaos signal demodulator in different channel noise is given, and the hardware realization of the proposed system is given in detail

  • Many researchers have been looking for ways to utilize the characteristics of chaos in communication systems, since Pecora et al.5 have realized the synchronization between two chaos systems in 1990, chaotic communication has become research hotspot

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Summary

INTRODUCTION

Chaos theory has been developed very rapidly in recent years, and has found an increasingly wide utilization in many fields, such as literature. Chaos is sensitive to initial value, unpredictable and disorderly, these characteristics makes chaotic systems unstable and aperiodic, making them naturally harder to identify and to predict. These schemes have reduced the requirements of the chaos synchronization, and have improved bit error rate performance of the chaotic spread spectrum system, but low bandwidth efficiency is their common shortcoming. Literature has proposed the method which separates dynamic chaotic system sequences to realize M-ary communication, it improves information transmission rate and bit error rate, but the cost is high system complexity. The design of ZPD in different noise channels is discussed, and an approach on constructing anti-color-noise chaotic M-ary communication system is proposed. Since the working performance of chaos M-ary communication demodulator is so closely connected with channel noise, in order to obtain the optimal design of ZPD, the research on the influence to the roughness of Hamilton modulated signal by the channel noise should be studied deeply.

Hamilton oscillator modulation method
The demodulation method based on Hamilton oscillator modulated signal
THE CONSTRUCTION METHOD OF CHAOS M-ARY DEMODULATION IN NOISE CHANNEL
The Statistic Method to Determine the Boundary of ZPD in AWGN
The Curve Fitting Method to Determine the Boundary of ZPD in AWGN
The study of ZPD’s boundary range in additive white color noise channel
The Solution to the Narrow-Band Additive Gaussian White Noise Channel
PERFORMANCE SIMULATION AND EVALUATION
T 1 T 1
The electronic design analysis of Hamilton chaotic M-ary communication system
Findings
CONCLUSION

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