Least square channel estimation for image transmission with ofdm over fading channel
Wireless communication is the most effective communication to convey audio or video information among the population. It enables the masses to connect throughout the world. Wireless technologies improve the lifestyle of individuals in rural and poor communication areas. In this view, the quality of...
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description | Wireless communication is the most effective communication to convey audio or video information among the population. It enables the masses to connect throughout the world. Wireless technologies improve the lifestyle of individuals in rural and poor communication areas. In this view, the quality of a reliable signal can be enhanced by minimizing carrier interference. In this paper bit error rate of an image, signal is transmitted over fading channel is analyzed using orthogonal frequency multiplexing and channel estimation technique. An Orthogonal Frequency Multiplexing (OFDM) provides prominent bandwidth effectiveness and improved immunity to the fading environments. In OFDM, the data is modulated using multiple numbers of subcarriers that are orthogonal to each other. A cyclic prefix is infixed between OFDM symbols to annihilate the inter symbol interference (ISI) and inter-carrier interference (ICI). The least square channel estimation method is used to minimize the effect of multipath fading. An image, signal is modulated using BPSK, QPSK, 16QAM and 64QAM digital modulation schemes with OFDM and channel estimation and transmitted over AWGN and fading channel. The objective of this work is to improve the signal to noise ratio by reducing interference. |
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The objective of this work is to improve the signal to noise ratio by reducing interference.</description><subject>Audio data</subject><subject>Bandwidths</subject><subject>Bit error rate</subject><subject>Communication</subject><subject>Digital imaging</subject><subject>Fading</subject><subject>Image transmission</subject><subject>Interference</subject><subject>Least squares</subject><subject>Noise reduction</subject><subject>Orthogonal Frequency Division Multiplexing</subject><subject>Rural areas</subject><subject>Signal quality</subject><subject>Signal to noise ratio</subject><subject>Subcarriers</subject><subject>Video communication</subject><subject>Wireless communications</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>GOX</sourceid><recordid>eNo1j81uwjAQhK1KlYooD9BTLfWcdL32YvtYof4gReol98gkDgSRBOxA27dvgPa0q92Z0XyMPQhIlSGCZxe-m1OKAJgCAYobNkEpRWIU4h2bxbiF8TfXSCQnLM-8iwOPh6MLnpcb13V-x30cmtYNTd_xug983NeeD8F1sW1iPJ-_mmHD-7pqeX_ygdeuarr1v_-e3dZuF_3sb05Z_vaaLz6S7PN9uXjJEkcoEgcGzao2pFdQaYtKovCi1FUFikxpAL0VFkqSFtBUZBWhrdUcSqU1GZJT9niNvSAX-zD2DD_FGb24oI-Kp6tiH_rDcaQqtv0xdGOnAiUp0sKSkL_MCVrL</recordid><startdate>20200211</startdate><enddate>20200211</enddate><creator>Usha, S M</creator><creator>Mahesh, H B</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>GOX</scope></search><sort><creationdate>20200211</creationdate><title>Least square channel estimation for image transmission with ofdm over fading channel</title><author>Usha, S M ; Mahesh, H B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a521-a0828bf857b0d7924321e1c7dd0458c802e9190c539028d594529f460c4775853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Audio data</topic><topic>Bandwidths</topic><topic>Bit error rate</topic><topic>Communication</topic><topic>Digital imaging</topic><topic>Fading</topic><topic>Image transmission</topic><topic>Interference</topic><topic>Least squares</topic><topic>Noise reduction</topic><topic>Orthogonal Frequency Division Multiplexing</topic><topic>Rural areas</topic><topic>Signal quality</topic><topic>Signal to noise ratio</topic><topic>Subcarriers</topic><topic>Video communication</topic><topic>Wireless communications</topic><toplevel>online_resources</toplevel><creatorcontrib>Usha, S M</creatorcontrib><creatorcontrib>Mahesh, H B</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>arXiv.org</collection><jtitle>arXiv.org</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Usha, S M</au><au>Mahesh, H B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Least square channel estimation for image transmission with ofdm over fading channel</atitle><jtitle>arXiv.org</jtitle><date>2020-02-11</date><risdate>2020</risdate><eissn>2331-8422</eissn><abstract>Wireless communication is the most effective communication to convey audio or video information among the population. 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subjects | Audio data Bandwidths Bit error rate Communication Digital imaging Fading Image transmission Interference Least squares Noise reduction Orthogonal Frequency Division Multiplexing Rural areas Signal quality Signal to noise ratio Subcarriers Video communication Wireless communications |
title | Least square channel estimation for image transmission with ofdm over fading channel |
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