Multi-carrier Differential Chaos Shift Keying Wireless Communication Based On Chaotic Shape-forming Filter

In recent years, chaotic communication has shown advantages, such as used the simplest matched filter to make signal-to-noise ratio (SNR) maximization and improve the resistance to multi-path interference. The chaotic shape-forming filter (CSF) has been proposed to generate the chaotic baseband signal in the wireless communication, the additional advantage of the chaotic shape-forming filter is able to generate the chaotic signal as spread sequence in Differential Chaotic Shift Key (DCSK), which encodes information in the sequence. In this paper, the chaotic signal generated by CSF is used in DCSK and combined with multi-carrier frequency to improve the bit transmission rate. Because of CSF used, it helps to improve both Bit Error Rate (BER) performance and provide an additional information flow in the spread sequence itself. Simulation results indicate that the proposed method is superior to other methods over the Addition White Gaussian Noise (AWGN) channel and wireless channel.

[1]  François Gagnon,et al.  Design and Analysis of a Multi-Carrier Differential Chaos Shift Keying Communication System , 2013, IEEE Transactions on Communications.

[2]  Georges Kaddoum,et al.  Permutation Index DCSK Modulation Technique for Secure Multiuser High-Data-Rate Communication Systems , 2018, IEEE Transactions on Vehicular Technology.

[3]  Chi K. Tse,et al.  Permutation-based DCSK and multiple-access DCSK systems , 2003 .

[4]  C.E. Shannon,et al.  Communication in the Presence of Noise , 1949, Proceedings of the IRE.

[5]  Jonathan N. Blakely,et al.  Chaos in optimal communication waveforms , 2015, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[6]  G. Kolumban,et al.  Differential chaos shift keying : A robust coding for chaotic communication , 1996 .

[7]  Celso Grebogi,et al.  Experimental Wireless Communication Using Chaotic Baseband Waveform , 2019, IEEE Transactions on Vehicular Technology.

[8]  Celso Grebogi,et al.  Wireless communication with chaos. , 2013, Physical review letters.

[9]  Ned J Corron,et al.  A matched filter for chaos. , 2010, Chaos.

[10]  Grebogi,et al.  Communicating with chaos. , 1993, Physical review letters.

[11]  Celso Grebogi,et al.  Experimental validation of wireless communication with chaos. , 2016, Chaos.

[12]  Chi K. Tse,et al.  Chaos-Based Digital Communication Systems: Operating Principles, Analysis Methods, and Performance Evaluation , 2003 .

[13]  Gregory W. Wornell,et al.  Statistical analysis and spectral estimation techniques for one-dimensional chaotic signals , 1997, IEEE Trans. Signal Process..

[14]  Ned J Corron,et al.  Analytically solvable chaotic oscillator based on a first-order filter. , 2016, Chaos.

[15]  Hayes,et al.  Experimental control of chaos for communication. , 1994, Physical review letters.

[16]  L. Wang,et al.  A Novel Differential Chaos Shift Keying Modulation Scheme , 2011, Int. J. Bifurc. Chaos.