Radio-Wave Communication With Chaos

Abstract

Chaotic signals require very wide bandwidth to be transmitted in a practical channel, which is difficult for the practical transducer or antenna to convert such a broadband signal. To address this problem, in this work, Chaotic Shape-forming Filter (CSF) is used to obtain the baseband signal, and the corresponding matched filter is used at the receiver to maximize the signal-to-noise ratio. At the same time, the symbol judgment threshold determined by the chaos properties is used to reduce the Inter-Symbol Interference (ISI) effect. Simulations and virtual channel experiments show that the radiowave communication system using chaos is inferior to the conventional radio-wave communication system using Square Root Raised Cosine (SRRC) shape-forming filter in a single path channel. This is because SRRC eliminates ISI in single path, but CSF does not. However, the chaos-based communication with anti-multipath decoding algorithm shows significantly better Bit Error Rate (BER) performance than the traditional communication system using SRRC and a minimum mean square error (MMSE) channel equalization in a multipath channel. This work shows the potential application prospect of chaos-based communication in future 5G or 6G engineering communication systems. INDEX TERMS Chaotic communication, Decoding, Multipath channels, Radio-wave communication.

Chaos in the Real World: Recent Applications to Communications, Computing, Distributed Sensing, Robotic Motion, Bio-Impedance Modelling and Encryption Systems

“…Some recent manuscripts have addressed this topic. For example, in [8], a key issue in radio wave communication systems has been discussed, i.e., how to exploit chaos with minimum modifications of conventional systems. In particular, the author of reference [8] have proposed the adoption of chaotic shape-forming filters as substitutes for conventional shape-forming filters.…”

“…For example, in [8], a key issue in radio wave communication systems has been discussed, i.e., how to exploit chaos with minimum modifications of conventional systems. In particular, the author of reference [8] have proposed the adoption of chaotic shape-forming filters as substitutes for conventional shape-forming filters. By using a suboptimal threshold, Bit Error Rate (BER) in both multipath channel and system performance has been improved.…”

“…By using a suboptimal threshold, Bit Error Rate (BER) in both multipath channel and system performance has been improved. Additionally, the removal of the complex algorithm for channel equalization has led to simply the software of the overall architecture [8]. The authors of reference [8] also suggest to readily use chaotic shape-forming filters in 5G or 6G communication systems, given that the shape-forming of baseband signals is of paramount importance in radio wave systems.…”

“…The manuscript is organized as follows. In Section 2 the applications of chaos to communications are illustrated [2][3][4][5][6][7][8][9][10][11][12], including the use of chaos in radar-based systems and underwater acoustic channels. Section 3 highlights how chaos may represent a promising approach in sensing applications [13], whereas Section 4 illustrates different applications of chaos in robotic motion [14][15][16].…”

Design and Performance Analysis of a Chaotic Pseudo Orthogonal Carriers Multi-Access Communication System

“…In response to the growing demand of access terminals, the research demand of the communication systems with higher BTR and higher spectral efficiency are rapid increasing for the next generation local wireless communication network. [23], which is not achievable by traditional chaotic signal generated by Logistic or Tent map even continuous chaotic signal generated by, for example, Lorenz system, but also it has ability to resist inter-symbol interference [24,25], by this way, it improves the performance of communications systems in complex radio channels [26,27]. Moreover, the CSF can be implemented by using simple electronic circuit [28] or digital signal processor [29], which addressed the demands of low consumption, low complexity and low power consumption in IoT communication.…”