Performance Analysis of Underwater Acoustic Communication using IDMA-OFDM-MIMO with Reed Solomon and Turbo Code

Full Text (PDF, 1330KB), PP.41-46

Views: 0 Downloads: 0

Author(s)

Rajashri Khanai 1,* Salma S. Shahapur 2 Dattaprasad Torse 3

1. Department of Electronics and Communication Engineering, KLE’s Dr. M.S. Sheshgiri College of Engineering and Technology, Belagavi, India

2. Jain College of Engineering/Electronics and Communication, Belagavi, 590010, India

3. Department of Electronics and Communication Engineering, KLS Gogte Institute of Technology, Belagavi, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijcnis.2018.12.05

Received: 26 Sep. 2018 / Revised: 1 Oct. 2018 / Accepted: 16 Oct. 2018 / Published: 8 Dec. 2018

Index Terms

IDMA, Interleaver, BPSK, QPSK, QAM

Abstract

The underwater acoustic environment is a promising technology which explores the real-time data collection for various applications. However, these channels are prone to errors, and characterized by propagation delay, half duplex communication. At low frequencies, the fading phenomenon extensively affect the behavior of the channel and hence the effect the design of reliable communication system. The underwater acoustic channels to perform appreciably reliable communication, an attempt are made by various modulation and coding techniques. Simulation results for the combination of BPSK modulation with Reed Solomon code (BPSK-RS) having various interleavers Random Interleaver, Matrix Interleaver, have been investigated. To improve the Bit Error Rate performance various modulation techniques such as BPSK, QPSK, and QAM were combined with coding algorithms like RS code, Turbo code and different Interleavers. The investigation of the above combination reveals that IDMA-OFDM-MIMO with BPSK modulation, Turbo code with Random Interleaver technique improves significantly Bit Error Rate performance.

Cite This Paper

Rajashri Khanai, Salma S. Shahapur, Dattaprasad Torse, "Performance Analysis of Underwater Acoustic Communication using IDMA-OFDM-MIMO with Reed Solomon and Turbo Code", International Journal of Computer Network and Information Security(IJCNIS), Vol.10, No.12, pp.41-46, 2018. DOI:10.5815/ijcnis.2018.12.05

Reference

[1]G. Barreto, D. Simao, M. E. Pellenz, R. D. Souza, E.Jamhour, M. C. Penna, G. Brante, and B. S. Chang, “Energy-Ef?cient Channel Coding Strategy for Underwater Acoustic Networks”, Sensors, vol. 17, pp.1-16, 2017
[2]S. More and K. K. Naik, “Modelling and Simulation of IDMA-OFDM for Underwater Acoustic Communication”, Defence Science Journal, vol. 65, pp.307-311, 2015.
[3]H. Luo, K. Wu; R. Ruby and L. M. Ni, “Simulation and Experimentation Platforms for Underwater Acoustic Sensor Networks: Advancements and Challenges”, ACM Computing Surveys, vol.50, pp.28:1-28:44, 2017
[4]K. Pelekanakis and M. Chitre, “New sparse adaptive algorithms based on the natural gradient and the L0-norm”, IEEEJ. Ocean. Eng., vol. 38, pp.323–332, 2013.
[5]Y. V. Zakharov and A. K. Morozov, “OFDM transmission without guard interval in fast-varying underwater acoustic channels,” IEEE J. Ocean. Eng., vol. 40, pp.144–158, 2015.
[6]Z. Wang, S. Zhou; J. Catipovic; and P. Willett, “Asynchronous multiuser reception for OFDM in underwater acoustic communications,” IEEE Trans. Wireless Commun., vol.12, pp.1050–1061, 2013.
[7]S. S. Shahapur and R. Khanai “Underwater Sensor Network at physical, data link and network - layer a survey,” 4th IEEE international conference on communication and signal processing, April 2015
[8]Y. Chen; Z.-H. Wang; L. Wan; H. Zhou; S. Zhou; and X. Xu, “OFDM modulated dynamic coded cooperation in underwater acoustic channels,” IEEE J. Ocean. Eng., vol.40, pp. 159–168, 2015.
[9]Uddin, Md. A., Rashid, M., Rahman, Md. M.: ‘Priority Metric based Ad Hoc Routing for Underwater Sensor Network’, I. J. Computer Network and Information Security, 2013, 12, pp. 1-11, DOI: DOI: 10.5815/ijcnis.2013.12.01
[10]Z. Chen, J. Wang and Y. R. Zheng, “Frequency-Domain Turbo Equalization with Iterative Channel Estimation for MIMO Underwater Acoustic Communications”, IEEE Journal of Ocean Eng., vol.42, pp.711-721, 2017.