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 |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 358.41 kB | Adobe PDF | View/Open |
02_condidate_declaration.pdf | 300.63 kB | Adobe PDF | View/Open | |
03_certificate_of_supervisor.pdf | 281.31 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 262.54 kB | Adobe PDF | View/Open | |
05_preface.pdf | 355.84 kB | Adobe PDF | View/Open | |
06_table_of_contents.pdf | 604.34 kB | Adobe PDF | View/Open | |
07_list_of_figures.pdf | 333.45 kB | Adobe PDF | View/Open | |
08_list_of_tables.pdf | 334.97 kB | Adobe PDF | View/Open | |
09_list_of_abbreviations.pdf | 258.59 kB | Adobe PDF | View/Open | |
10_chapter1.pdf | 713.11 kB | Adobe PDF | View/Open | |
11_chapter2.pdf | 487.25 kB | Adobe PDF | View/Open | |
12_chapter3.pdf | 486.78 kB | Adobe PDF | View/Open | |
13_chapter4.pdf | 751.7 kB | Adobe PDF | View/Open | |
14_chapter5.pdf | 1.08 MB | Adobe PDF | View/Open | |
15_chapter6.pdf | 1.56 MB | Adobe PDF | View/Open | |
16_conclusion.pdf | 423.28 kB | Adobe PDF | View/Open | |
17_references.pdf | 508.69 kB | Adobe PDF | View/Open | |
18_list_of_publication.pdf | 363 kB | Adobe PDF | View/Open | |
19_reprint_of_research_paper.pdf | 1.1 MB | Adobe PDF | View/Open |
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