Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/142602
Title: An Approach towards Reducing Transmit Signal Power Consumption in Digital Communication by Use of Low Overhead Multiple Error Correcting Code
Researcher: Madan Lal Saini
Guide(s): Prof. Vivek Kumar Sharma
Keywords: Error Correction Codes, Block Code, Convolutional Code, Redundancy (Overhead), Signal to Noise Ratio(SNR), Bit Error Ratio (BER), EbN0, Code Rate, Generator Polynomial, Constraint Length.
University: Jagannath University
Completed Date: 30-1-2017
Abstract: This thesis presents the design of block and convolutional code with minimized communication redundancy (overhead). This work is devoted to the problem of high signal power consumption and communication overhead of error control bits (parity bits). The redundant overhead requires high bandwidth but simple encoding decoding algorithms and low overhead code requires less bandwidth but complex encoding decoding process. This thesis focuses on LBC and CC codes which are used in terrestrial, space, and satellite communication. Communication overhead was calculated for existing most popular block codes (Hamming, BCH, and R S Code). The communication overhead of proposed code is lower compared to existing codes for large block size. For designing of convolutional code constraint length, code rate, and generator polynomial were selected and effects of these parameters were discussed. Thesis presents the selection process of generator polynomial by BER performance and a list of good generator polynomial was presented. Finally, BER performance and signal power consumption for un-coded and proposed block and convolutional coded system are presented. The power gain is estimated for un-coded and block code and presented according to BER level. The power gain by convolutional code for code rate 1/2, 1/3, and 1/4 are calculated and presented with compared to un-coded system. newline
Pagination: 
URI: http://hdl.handle.net/10603/142602
Appears in Departments:Faculty of Engineering and Technology

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01_title.pdfAttached File358.41 kBAdobe PDFView/Open
02_condidate_declaration.pdf300.63 kBAdobe PDFView/Open
03_certificate_of_supervisor.pdf281.31 kBAdobe PDFView/Open
04_acknowledgement.pdf262.54 kBAdobe PDFView/Open
05_preface.pdf355.84 kBAdobe PDFView/Open
06_table_of_contents.pdf604.34 kBAdobe PDFView/Open
07_list_of_figures.pdf333.45 kBAdobe PDFView/Open
08_list_of_tables.pdf334.97 kBAdobe PDFView/Open
09_list_of_abbreviations.pdf258.59 kBAdobe PDFView/Open
10_chapter1.pdf713.11 kBAdobe PDFView/Open
11_chapter2.pdf487.25 kBAdobe PDFView/Open
12_chapter3.pdf486.78 kBAdobe PDFView/Open
13_chapter4.pdf751.7 kBAdobe PDFView/Open
14_chapter5.pdf1.08 MBAdobe PDFView/Open
15_chapter6.pdf1.56 MBAdobe PDFView/Open
16_conclusion.pdf423.28 kBAdobe PDFView/Open
17_references.pdf508.69 kBAdobe PDFView/Open
18_list_of_publication.pdf363 kBAdobe PDFView/Open
19_reprint_of_research_paper.pdf1.1 MBAdobe PDFView/Open
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