A novel chaos-based modulation scheme: adaptive threshold level chaotic on-off keying for increased BER performance

A novel modulation scheme called adaptive threshold level-chaotic on?off keying ATL-COOK is proposed. This scheme is applied to direct chaotic communication DCC systems where the chaotic signals are used as carrier signals. The objective of the proposed adaptive method is to increase the low BER versus SNR performance caused by the constant threshold voltage level. In the proposed method, the communication signal received by the receiver circuits was defined as a Dirac delta function and a comparison signal was obtained from this signal. Then the BER versus SNR performance was analyzed and compared with that of various chaotic generator structures by using an instantaneous adaptive signal instead of a constant threshold voltage in the receiver circuit decision block. Both the simulation results and the experiments show the efficiency of the proposed method.

Keywords:

Direct chaotic communication system field programmable analogue arrays, bit error rate,

PDF

___

[1] Lorenz EN. Deterministic nonperiodic flow. Journal of the Atmospheric Sciences 1963; 20: 130-141.
[2] Kennedy MP, Kolumban G, Jako Z. Chaotic modulation schemes. In: Kennedy M, Rovatti R, Setti G (editors). Chaotic Electronics in Telecommunications. 1st ed. Boca Raton, FL, USA: CRC Press, 2000, pp. 151-183.
[3] Cuomo KM, Oppenheim AV, Strogatz SH. Synchronization of Lorenz-based chaotic circuits with applications to communications. IEEE Transactions on Circuits and Systems-II: Analog and Digital Signal Processing 1993; 40: 626-633.
[4] Kennedy MP, Kolumbán G. Digital communications using chaos. Signal Processing 2000; 80 (7): 1307-1320.
[5] Chua LO, Desoer CA, Kuh ES. Linear and Nonlinear Circuits. New York, NY, USA: McGraw-Hill, 1987.
[6] Dedieu H, Kennedy M, Hasler M. Chaos shift keying: modulation and demodulation of a chaotic carrier using self-synchronizing Chua’s circuits. IEEE Transactions on Circuits and Systems II 1993; 40 (10): 634-643.
[7] Abdullah H, Valenzuela A. Performance evaluation of FM-COOK chaotic communication system. Journal of Signal and Information Processing 2011; 2 (3): 175-177.
[8] Kolumban G, Kennedy MP, Kis G. Performance improvement of chaotic communications systems. In: 1997 European Conference on Circuit Theory and Design (ECCTD); Budapest, Hungary; 1997. pp. 284-289.
[9] Kolumbàn G, Vizvari G, Schwarz W. Differential chaos shift keying: a robust coding for chaos communication. In: 1996 Proceedings of International Workshop on Nonlinear Dynamics of Electronic Systems (NDES); Seville, Spain; 1996. 1 (1): 87-92.
[10] Chua L, Yang L. Cellular neural networks: theory. IEEE Transactions on Circuits and Systems 1988; 35 (10): 732–745.
[11] Chua LO, Yang L. Cellular neural networks: applications. IEEE Transactions on Circuits and Systems 1988; 35 (10): 1273-1290.
[12] Pecora LM, Carroll TL. Synchronization in chaotic systems. Physical Review Letters 1990; 64: 821-824.
[13] Carroll TL, Pecaro LM. Synchronizing chaotic circuits. IEEE Transactions on Circuits and Systems 1991; 38 (4): 453-456.
[14] Pecora LM, Carroll TL. Driving systems with chaotic signals. Physical Review A 1991; 44: 2374-2383.
[15] Dmitriev AS, Hasler M, Panas AI, Zakharchenko KV. Basic principles of direct chaotic communications. In: Pikovsky A, Maistrenko Y (editors). Synchronization: Theory and Application. Dordrecht, Netherlands: Springer, 2003, pp. 41-63.
[16] Said S, Tanougast C, Salah AM. Novel adaptive decision threshold modulation technique for UWB direct chaotic communications. Journal of Engineering Science Technology Review 2015; 8 (2): 1-7.
[17] Mesloub A, Boukhelifa A, Merad O, Saddoudi S, Younsi A et al. Chip averaging chaotic ON–OFF keying: a new non-coherent modulation for ultra wide band direct chaotic communication. IEEE Communications Letters 2017; 21 (10): 2166-2169.
[18] Maali A, Mesloub A, Djeddou M, Mimoun H, Baudoin G et al. Adaptive CA-CFAR threshold for non-coherent IR-UWB energy detector receivers. IEEE Communications Letters 2009; 13 (12): 959-961.
[19] Adebola E, Olabiyi O, Annamalai A. On the Dirac delta approximation and the MGF method for ASER analyses of digital communications over fading channels. IEEE Communications Letters 2013; 17 (2): 245-248.
[20] Günay E, Altun K. BER analysis and application in FPGA and FPAA based communication systems. In: 2017 International Artificial Intelligence and Data Processing Symposium (IDAP); Malatya, Turkey; 2017. pp. 1-5.

Turkish Journal of Electrical Engineering and Computer Science-Cover

ISSN: 1300-0632
Yayın Aralığı: Yılda 6 Sayı
Yayıncı: TÜBİTAK

Arşiv