Abstract
Rapid change in the technology for seamless transmission of data at very high rate poses a great challenge for system designers. Signal is highly affected by the Noise and Error, reliability of the signal in the communication system is directly affected by the noise. Different types of Error control and correction codes are used for analyzing and controlling the error in the signal. Signal is directly affected by the Noise or error; it will change the reliability of the communication system. The occurrence of the errors is controlled by the Error control coding procedure. Shannon coding is also used for the error correction in the signals. The amount of redundancy added in any signal is increased as per the increment in the delay. In this paper, the author proposes a new interleaver for tolerating the latency situation and increasing the performance. It becomes more important to design and analyze the performance of interleaver for turbo code. It presents the comparative analysis of turbo code performance over an interleaver for various block lengths for two different types of channel which is AWGN and Rayleigh channel. It also provides the comparative analysis for the different fading channels.
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References
Berrou C, Glavieux A, Thitimajshima P (1993) Near Shannon Limit error-correcting coding and decoding: Turbo codes. In: Proceedings of the international conference on communications, (Geneva, Switzerland), pp 1064–1070
Hagenauer J, Hoher P (1989) A Viterbi algorithm with soft-decision outputs and its applications. IEEE Globecom, pp 1680–1686
Jangir D, Shankar G, Jain BB, Soni GK (2020) Performance analysis of LTE system for 2 × 2 Rayleigh and Rician fading channel. In: Proceedings of the international conference on smart electronics and communication (ICOSEC), pp 961–966
Singh H, Soni GK, Suryawanshi P, Shankar G (2020) Performance analysis and BER comparison of OFDM system for 4 × 4 MIMO fading channel in different modulation scheme. In: Proceedings of the third international conference on smart systems and inventive technology (ICSSIT), pp 255–259
Feng W, Yuan J, Vucetic BS (2002) A code matched interleaver design for turbo codes. IEEE Trans Commun 50(6):926–937
Jiang Y, Kim H, Asnani H, Kannan S, Oh S, Viswanath P (2020) Joint channel coding and modulation via deep learning. In: 21st international workshop on signal processing advances in wireless communications (SPAWC)
Kumar PP, Gowreesrinivas KV, Samundiswary P (2016) Design and analysis of turbo encoder using Xilinx ISE, 2016. In: International conference on control, instrumentation, communication and computational technologies (ICCICCT), pp 328–332
Barbulescu A, Pietrobon SS (1994) Interleaver design for turbo codes. Electron Lett IEEE 30(25):2107–2108
Takeshita O, Costello D (2000) New deterministic interleaver designs for turbo codes. IEEE Trans Inf Theory 46(6):1988–2006
Dehdashtian S, Hashemi M, Salehkaleybar S (2021):Deep-Learning based blind recognition of channel code parameters over candidate sets under AWGN and multi-path fading conditions. IEEE Wirel Commun Lett
Xue Z, Yuan X, Yang (2020) Denoising-based Turbo message passing for compressed video background subtraction
Kocian A, Badiu M, Fleury BH (2017) Francesca Martelli3 and Paolo Santi: a unified message-passing algorithm for MIMO-SDMA in software-defined radio. J Wirel Commun Netw
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Gour, S., Soni, G.K., Sharma, A. (2021). Analysis and Measurement of BER and SNR for Different Block Length in AWGN and Rayleigh Channel. In: Mathur, R., Gupta, C.P., Katewa, V., Jat, D.S., Yadav, N. (eds) Emerging Trends in Data Driven Computing and Communications. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-16-3915-9_26
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DOI: https://doi.org/10.1007/978-981-16-3915-9_26
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