Forward Error Correction Schemes for Data Communication Through Underwater Channel PDF Download

Author: Dr. Raj Kumar Goswami
Publisher: Horizon Books ( A Division of Ignited Minds Edutech P Ltd)
ISBN: 9391150268
Category : Computers
Languages : en
Pages : 147

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Book Description
The primary endeavor of this book is to provide an insight to the Forward Error Correction schemes so as to transfer the extracted features of the detected objects along with any intended data in a reliable manner through underwater channel. The main challenge with respect to the development of the coding techniques is the phenomena governing the propagation of signals through the underwater channel. It offers the biggest challenge imposing severe limitations on the effective throughput of transmission. The major problems encountered in the underwater channel are related to time-varying ISI and frequency-selective fading. An extensive literature review has also been presented with respect to Error Correction Coding schemes. This survey provided the necessary base for formulating the design alternatives. These alternatives attempted to exploit the recent advances in the error correction coding techniques, for data communication through underwater channel. Factors like design and implementation complexity of error correction schemes and the amount of overheads involved in transmission have also been considered in the critical assessment of these alternatives. An overview of the Sonar theory has also been presented along with the brief introduction of the forward-looking Sonars. The types of Forward-Looking Sonars have also been discussed in very brief. A comparison of the general parameters of the terrestrial and underwater systems is also carried out along with the variations in the path loss offered by the two systems with frequency and distance. The characteristics of propagation in the underwater medium are also elaborated. Underwater Channel modeling is also introduced in the book along with a study of the Rician and Rayleigh models which characterize the fading environment. The Rician and Rayleigh distributions are compared in terms of their application to real world scenarios. In the real underwater scenario, there is also a direct path along with the diffused/ indirect paths. Therefore, the most suitable model that can be used for testing the designed coding schemes is the Rician Fading model (K-factor = 2) along with the Additive White Gaussian Noise. The various Forward Error Correction Schemes have been discussed for the purpose of achieving reliable transmission of the formulated data block. The designs of the two Convolutional coding schemes i.e. rate 1/n and rate n/(n+1) have also been presented. It is observed from the comparison of Convolutional and TCM coding schemes that improvement in the performance of either code can be obtained with increase in the coding rate. The Turbo Codes have also been introduced and it will be seen that the performance of turbo code is sensitive to its code structure. The problem of the application of turbo codes to underwater communication systems has also been addressed. The main disadvantage of the Turbo codes is their long latency due to their relatively large codewords and iterative decoding process. However, the Turbo codes score over the Convolutional and the TCM codes in that they can be made sufficiently random to achieve a given BER and by using iterative methods, can be efficiently and feasibly decoded. The designed coding algorithm has been incorporated into the various configurations of the Turbo coding scheme. The variation in the configurations is in the coding rate and the number of states. The interleaver used in the design has been chosen as the random interleaver. The Turbo Coding Schemes have been designed by implementing the Convolutional coders as the constituent encoders using the proposed design rules. The design has been carried out for the 1/n and the n/(n+1) code rates with various states. The performance analysis of the proposed turbo schemes is also presented in terms of the Bit Error Rate (BER) achieved.