Phase-domain blind estimation of symbol duration based on Haar wavelet transform

A phase-domain blind estimator of symbol duration based on Haar wavelet transform（HWT） is proposed.It can estimate the symbol duration of phase modulated signals,such as M-ary phase-shift keying（MPSK） signals and polyphase coded signals.The closed form of the spectrum of HWT is derived.Theoretical a...

Full description

Saved in:
Bibliographic Details
Published in:Journal of systems engineering and electronics 2010-06, Vol.21 (3), p.375-381
Main Authors: Deng, Zhenmiao, Liu, Yu
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Blinds
Carrier frequencies
Complexity
Computation
Computer simulation
Criteria
Estimates
Estimators
Exact solutions
Haar小波变换
Keying
Mathematical analysis
Optimization
Signal to noise ratio
Spectra
Symbols
Wavelet
Wavelet transforms
信号噪声比
多进制相移键控
实验室模拟
盲估计
调制信号
载波频率
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c417t-c527d5ca27d47e5cb21498bb4c05627fa4b4bff42a0c7d437a0ae0b297077e393
cites
container_end_page 381
container_issue 3
container_start_page 375
container_title Journal of systems engineering and electronics
container_volume 21
creator Deng, Zhenmiao
Liu, Yu
description A phase-domain blind estimator of symbol duration based on Haar wavelet transform（HWT） is proposed.It can estimate the symbol duration of phase modulated signals,such as M-ary phase-shift keying（MPSK） signals and polyphase coded signals.The closed form of the spectrum of HWT is derived.Theoretical analysis shows the frequency of the first spectral peak is equal to the symbol rate,which is the reciprocal of symbol duration.Thus the symbol duration can be extracted from the spectrum.Subsequently,the optimum wavelet scale is determined according to the maximum output signal to noise ratio（OSNR） criterion.MAT-LAB simulations show that this algorithm can blindly estimate the symbol duration without any prior knowledge.This estimator need not estimate the carrier frequency and has the characteristics of low computation complexity and high accuracy.
doi_str_mv 10.3969/j.issn.1004-4132.2010.03.005
format article
fullrecord <record><control><sourceid>wanfang_jour_proqu</sourceid><recordid>TN_cdi_wanfang_journals_xtgcydzjs_e201003005</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cqvip_id>34341609</cqvip_id><wanfj_id>xtgcydzjs_e201003005</wanfj_id><sourcerecordid>xtgcydzjs_e201003005</sourcerecordid><originalsourceid>FETCH-LOGICAL-c417t-c527d5ca27d47e5cb21498bb4c05627fa4b4bff42a0c7d437a0ae0b297077e393</originalsourceid><addsrcrecordid>eNpNkM1OxCAURhujiUZ9h8aYuLH1FugwTdwY418yiS50TS4UxtYWZqCjjk8vTSdGFnBzOfDBSZLzAnJazaqrNm9CsHkBwDJWUJITiFtAc4ByLzn66-__qw-T0xBaGAcHQuAoeXl5x6Cz2vXY2FR2ja1THYamx6FxNnUmDdteui6tN35qycjXaSweEX36hZ-600M6eLTBON-fJAcGu6BPd-tx8nZ_93r7mC2eH55ubxaZYgUfMlUSXpcK48y4LpUkBavmUjIF5Yxwg0wyaQwjCCoilCOgBkkqDpxrWtHj5HK69wutQbsUrdt4GxPF97BU2_qnDUKPSoBGIRG_mPCVd-tN_KHom6B016HVbhMEL-lsXpA5ieT1RCrvQvDaiJWPOvxWFCBG86IVo3kxWhWjVTHGCKBiCjrbHX93drlu4sskqg_TdFpQRlkxg4r-Age-hIs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>753681282</pqid></control><display><type>article</type><title>Phase-domain blind estimation of symbol duration based on Haar wavelet transform</title><source>IEEE Xplore All Journals</source><creator>Deng, Zhenmiao ; Liu, Yu</creator><creatorcontrib>Deng, Zhenmiao ; Liu, Yu</creatorcontrib><description>A phase-domain blind estimator of symbol duration based on Haar wavelet transform（HWT） is proposed.It can estimate the symbol duration of phase modulated signals,such as M-ary phase-shift keying（MPSK） signals and polyphase coded signals.The closed form of the spectrum of HWT is derived.Theoretical analysis shows the frequency of the first spectral peak is equal to the symbol rate,which is the reciprocal of symbol duration.Thus the symbol duration can be extracted from the spectrum.Subsequently,the optimum wavelet scale is determined according to the maximum output signal to noise ratio（OSNR） criterion.MAT-LAB simulations show that this algorithm can blindly estimate the symbol duration without any prior knowledge.This estimator need not estimate the carrier frequency and has the characteristics of low computation complexity and high accuracy.</description><identifier>ISSN: 1004-4132</identifier><identifier>EISSN: 1004-4132</identifier><identifier>DOI: 10.3969/j.issn.1004-4132.2010.03.005</identifier><language>eng</language><publisher>College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P. R. China</publisher><subject>Accuracy ; Algorithms ; Blinds ; Carrier frequencies ; Complexity ; Computation ; Computer simulation ; Criteria ; Estimates ; Estimators ; Exact solutions ; Haar小波变换 ; Keying ; Mathematical analysis ; Optimization ; Signal to noise ratio ; Spectra ; Symbols ; Wavelet ; Wavelet transforms ; 信号噪声比 ; 多进制相移键控 ; 实验室模拟 ; 盲估计 ; 调制信号 ; 载波频率</subject><ispartof>Journal of systems engineering and electronics, 2010-06, Vol.21 (3), p.375-381</ispartof><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c417t-c527d5ca27d47e5cb21498bb4c05627fa4b4bff42a0c7d437a0ae0b297077e393</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/85918X/85918X.jpg</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Deng, Zhenmiao</creatorcontrib><creatorcontrib>Liu, Yu</creatorcontrib><title>Phase-domain blind estimation of symbol duration based on Haar wavelet transform</title><title>Journal of systems engineering and electronics</title><addtitle>Journal of Systems Engineering and Electronics</addtitle><description>A phase-domain blind estimator of symbol duration based on Haar wavelet transform（HWT） is proposed.It can estimate the symbol duration of phase modulated signals,such as M-ary phase-shift keying（MPSK） signals and polyphase coded signals.The closed form of the spectrum of HWT is derived.Theoretical analysis shows the frequency of the first spectral peak is equal to the symbol rate,which is the reciprocal of symbol duration.Thus the symbol duration can be extracted from the spectrum.Subsequently,the optimum wavelet scale is determined according to the maximum output signal to noise ratio（OSNR） criterion.MAT-LAB simulations show that this algorithm can blindly estimate the symbol duration without any prior knowledge.This estimator need not estimate the carrier frequency and has the characteristics of low computation complexity and high accuracy.</description><subject>Accuracy</subject><subject>Algorithms</subject><subject>Blinds</subject><subject>Carrier frequencies</subject><subject>Complexity</subject><subject>Computation</subject><subject>Computer simulation</subject><subject>Criteria</subject><subject>Estimates</subject><subject>Estimators</subject><subject>Exact solutions</subject><subject>Haar小波变换</subject><subject>Keying</subject><subject>Mathematical analysis</subject><subject>Optimization</subject><subject>Signal to noise ratio</subject><subject>Spectra</subject><subject>Symbols</subject><subject>Wavelet</subject><subject>Wavelet transforms</subject><subject>信号噪声比</subject><subject>多进制相移键控</subject><subject>实验室模拟</subject><subject>盲估计</subject><subject>调制信号</subject><subject>载波频率</subject><issn>1004-4132</issn><issn>1004-4132</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNpNkM1OxCAURhujiUZ9h8aYuLH1FugwTdwY418yiS50TS4UxtYWZqCjjk8vTSdGFnBzOfDBSZLzAnJazaqrNm9CsHkBwDJWUJITiFtAc4ByLzn66-__qw-T0xBaGAcHQuAoeXl5x6Cz2vXY2FR2ja1THYamx6FxNnUmDdteui6tN35qycjXaSweEX36hZ-600M6eLTBON-fJAcGu6BPd-tx8nZ_93r7mC2eH55ubxaZYgUfMlUSXpcK48y4LpUkBavmUjIF5Yxwg0wyaQwjCCoilCOgBkkqDpxrWtHj5HK69wutQbsUrdt4GxPF97BU2_qnDUKPSoBGIRG_mPCVd-tN_KHom6B016HVbhMEL-lsXpA5ieT1RCrvQvDaiJWPOvxWFCBG86IVo3kxWhWjVTHGCKBiCjrbHX93drlu4sskqg_TdFpQRlkxg4r-Age-hIs</recordid><startdate>20100601</startdate><enddate>20100601</enddate><creator>Deng, Zhenmiao</creator><creator>Liu, Yu</creator><general>College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P. R. China</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20100601</creationdate><title>Phase-domain blind estimation of symbol duration based on Haar wavelet transform</title><author>Deng, Zhenmiao ; Liu, Yu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c417t-c527d5ca27d47e5cb21498bb4c05627fa4b4bff42a0c7d437a0ae0b297077e393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Accuracy</topic><topic>Algorithms</topic><topic>Blinds</topic><topic>Carrier frequencies</topic><topic>Complexity</topic><topic>Computation</topic><topic>Computer simulation</topic><topic>Criteria</topic><topic>Estimates</topic><topic>Estimators</topic><topic>Exact solutions</topic><topic>Haar小波变换</topic><topic>Keying</topic><topic>Mathematical analysis</topic><topic>Optimization</topic><topic>Signal to noise ratio</topic><topic>Spectra</topic><topic>Symbols</topic><topic>Wavelet</topic><topic>Wavelet transforms</topic><topic>信号噪声比</topic><topic>多进制相移键控</topic><topic>实验室模拟</topic><topic>盲估计</topic><topic>调制信号</topic><topic>载波频率</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Deng, Zhenmiao</creatorcontrib><creatorcontrib>Liu, Yu</creatorcontrib><collection>维普_期刊</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>维普中文期刊数据库</collection><collection>中文科技期刊数据库-工程技术</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Journal of systems engineering and electronics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Deng, Zhenmiao</au><au>Liu, Yu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Phase-domain blind estimation of symbol duration based on Haar wavelet transform</atitle><jtitle>Journal of systems engineering and electronics</jtitle><addtitle>Journal of Systems Engineering and Electronics</addtitle><date>2010-06-01</date><risdate>2010</risdate><volume>21</volume><issue>3</issue><spage>375</spage><epage>381</epage><pages>375-381</pages><issn>1004-4132</issn><eissn>1004-4132</eissn><abstract>A phase-domain blind estimator of symbol duration based on Haar wavelet transform（HWT） is proposed.It can estimate the symbol duration of phase modulated signals,such as M-ary phase-shift keying（MPSK） signals and polyphase coded signals.The closed form of the spectrum of HWT is derived.Theoretical analysis shows the frequency of the first spectral peak is equal to the symbol rate,which is the reciprocal of symbol duration.Thus the symbol duration can be extracted from the spectrum.Subsequently,the optimum wavelet scale is determined according to the maximum output signal to noise ratio（OSNR） criterion.MAT-LAB simulations show that this algorithm can blindly estimate the symbol duration without any prior knowledge.This estimator need not estimate the carrier frequency and has the characteristics of low computation complexity and high accuracy.</abstract><pub>College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P. R. China</pub><doi>10.3969/j.issn.1004-4132.2010.03.005</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1004-4132
ispartof Journal of systems engineering and electronics, 2010-06, Vol.21 (3), p.375-381
issn 1004-4132
1004-4132
language eng
recordid cdi_wanfang_journals_xtgcydzjs_e201003005
source IEEE Xplore All Journals
subjects Accuracy
Algorithms
Blinds
Carrier frequencies
Complexity
Computation
Computer simulation
Criteria
Estimates
Estimators
Exact solutions
Haar小波变换
Keying
Mathematical analysis
Optimization
Signal to noise ratio
Spectra
Symbols
Wavelet
Wavelet transforms
信号噪声比
多进制相移键控
实验室模拟
盲估计
调制信号
载波频率
title Phase-domain blind estimation of symbol duration based on Haar wavelet transform
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T18%3A12%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wanfang_jour_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Phase-domain%20blind%20estimation%20of%20symbol%20duration%20based%20on%20Haar%20wavelet%20transform&rft.jtitle=Journal%20of%20systems%20engineering%20and%20electronics&rft.au=Deng,%20Zhenmiao&rft.date=2010-06-01&rft.volume=21&rft.issue=3&rft.spage=375&rft.epage=381&rft.pages=375-381&rft.issn=1004-4132&rft.eissn=1004-4132&rft_id=info:doi/10.3969/j.issn.1004-4132.2010.03.005&rft_dat=%3Cwanfang_jour_proqu%3Extgcydzjs_e201003005%3C/wanfang_jour_proqu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c417t-c527d5ca27d47e5cb21498bb4c05627fa4b4bff42a0c7d437a0ae0b297077e393%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=753681282&rft_id=info:pmid/&rft_cqvip_id=34341609&rft_wanfj_id=xtgcydzjs_e201003005&rfr_iscdi=true