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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68345
Volume:
10 |
10 |
Oct 2026
Pages:
1-2
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Electronics and Communication
Priyadarshini college of engineering

Electronics and Communication
Priyadarshini college of engineering

Electronics and Communication
Priyadarshini college of engineering

Electronics and Communication
Priyadarshini college of engineering

Electronics and Communication
Priyadarshini college of engineering
Interleaved Chaotic Differential Peaks Keying (I-CDPK) is a chaos-based digital communication technique that represents information using peak-related features of a chaotic sequence. This paper reports the current FPGA-oriented implementation and simulation-verification status of an I-CDPK codec. A Lorenz system provides the state sequence, followed by peak-event detection, differential processing, bit-dependent keying, receiver-side processing, and event-level comparison. The workflow combines a Python behavioural reference, signed Q7.14 fixed-point arithmetic, SystemVerilog RTL, Vivado/XSim simulation, and Value Change Dump (VCD) analysis. The recorded dataset contains 5,000 Lorenz samples, 191 canonical information events, 955 pipeline-stage events, and 991 timeline entries. An 18-record transmit/receive comparison reports zero serial mismatches. These results support consistency for the recorded simulation cases only; they do not establish physical FPGA operation, general bit-error performance, or cryptographic security.
KEYWORDS
This work demonstrates a structured FPGA-oriented simulation workflow for an I-CDPK codec using signed Q7.14 arithmetic and SystemVerilog. Across 5,000 baseline chaotic samples, the 18 transmit/receive records achieved full keying and demodulation agreement in Vivado/XSim without serial mismatches. Future work focuses on FPGA hardware deployment and BER analysis.
[1] E. N. Lorenz, “Deterministic nonperiodic flow,” Journal of the Atmospheric Sciences, vol. 20, no. 2, pp. 130–141, 1963. [2] L. M. Pecora and T. L. Carroll, “Synchronization in chaotic systems,” Physical Review Letters, vol. 64, no. 8, pp. 821–824, 1990. [3] T. -I. Chien, Y.-C. Hung, and T.-L. Liao, “A non-correlator-based digital communication system using I-CDPK modulation,” Chaos, Solitons & Fractals, vol. 29, no. 4, pp. 965–977, 2006. [4] G. Halde and A. S. Gandhi, “Impulsive observer based chaotic synchronization with application to interleaved chaotic differential peaks keying (I-CDPK),” in Proc. TENCON 2015, pp. 1–4, 2015. [5] G. Kaddoum, “Wireless chaos-based communication systems: A comprehensive survey,” IEEE Access, vol. 4, pp. 2621–2648, 2016. [6] G. P. Halde, A. S. Gandhi, and A. S. Telang, “Secure data communication through impulsive synchronization,” research manuscript, 2016. [7] P. S. Mawale, G. Halde, V. Shirpurkar, and S. Chaturvedi, “A secure chaotic communication system,” International Journal of Scientific Research and Development, vol. 2, no. 7, pp. 507–510, 2014. [8] AMD, Vivado Design Suite User Guide: Logic Simulation, UG900, 2025. [9] IEEE, IEEE Standard for SystemVerilog, IEEE Std 1800-2017, 2018. [10] AMD, Vivado Design Suite User Guide: Synthesis, UG901, 2025. [11] AMD, Vivado Design Suite User Guide: Implementation, UG904, 2025. [12] G. Halde, S. Wasnik, and S. Parihar, “Performance analysis of chaos based transmission,” IJSDR, vol. 2, no. 7, 2017. [13] G. P. Halde and A. S. Gandhi, “Secure data communication through impulsive synchronization of multiple attractor chaotic systems,” Multidisciplinary Journal of Pensee, vol. 51, no. 11, pp. 1047–1059, 2021.
Publication Date
10/26/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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