Bayesian sequential state estimation for MIMO-OFDM systems
For the estimation of MIMO frequency selective channel, to mitigate the curse of dimensionality, a novel particle filtering scheme combined with time delay domain processing is proposed. In order to extract the time delay domain channel impulse response from the observed signal, the least-squares （L...
Gespeichert in:
| Veröffentlicht in: | Journal of systems engineering and electronics 2010-02, Vol.21 (1), p.148-153 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 153 |
|---|---|
| container_issue | 1 |
| container_start_page | 148 |
| container_title | Journal of systems engineering and electronics |
| container_volume | 21 |
| creator | Xu, Maoge Song, Yaoliang |
| description | For the estimation of MIMO frequency selective channel, to mitigate the curse of dimensionality, a novel particle filtering scheme combined with time delay domain processing is proposed. In order to extract the time delay domain channel impulse response from the observed signal, the least-squares （LS） and minimum mean squared error （MMSE） criteria are discussed and the comparable performance of LS with MMSE for sample- spaced channel is revealed. Incorporated the dynamical channel model, gradient particle filtering is further introduced to improve the estimation performance. The robustness of the channel estimator for underestimated Doppler frequency and the effectiveness of the new estimation scheme are illustrated through simulation at last. |
| doi_str_mv | 10.3969/j.issn.1004-4132.2010.01.024 |
| format | Article |
| fullrecord | <record><control><sourceid>wanfang_jour_proqu</sourceid><recordid>TN_cdi_wanfang_journals_xtgcydzjs_e201001024</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cqvip_id>33111197</cqvip_id><wanfj_id>xtgcydzjs_e201001024</wanfj_id><sourcerecordid>xtgcydzjs_e201001024</sourcerecordid><originalsourceid>FETCH-LOGICAL-c358t-3c93accd5bf42ea7b7dc2e0cfef8bff33b894b543da2aa649bfbbd30f9e446db3</originalsourceid><addsrcrecordid>eNpNUN9LwzAQDqLgmPsfigi-2JpfW1fxRafTwcZe9DkkaTJTu3TrZWj9623pEMNBjrvv7rvvQ-iK4IRlk-y2SByATwjGPOaE0YTitoVJgik_QYO_-um__ByNAArcvRRTigfo7lE2Bpz0EZj9wfjgZBlBkMFEBoLbyuAqH9mqjlaL1Tpez59WETQQzBYu0JmVJZjR8R-i9_nz2-w1Xq5fFrOHZazZeBpipjMmtc7HynJqZKrSXFODtTV2qqxlTE0zrsac5ZJKOeGZskrlDNvMcD7JFRuim37vl_RW-o0oqkPtW0bxHTa6yX8KEKYT3wblLfy6h-_qqlUEQWwdaFOW0pvqACLljBCCU9Yi73ukriuA2lixq1vFdSMIFp3HohCdx6LzT3T-iY5GYCJ6osvj-EflN3vXXqak_rSuNIJ1HCRL2S8RK32b</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>743111073</pqid></control><display><type>article</type><title>Bayesian sequential state estimation for MIMO-OFDM systems</title><source>IEEE Power & Energy Library</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Xu, Maoge ; Song, Yaoliang</creator><creatorcontrib>Xu, Maoge ; Song, Yaoliang</creatorcontrib><description>For the estimation of MIMO frequency selective channel, to mitigate the curse of dimensionality, a novel particle filtering scheme combined with time delay domain processing is proposed. In order to extract the time delay domain channel impulse response from the observed signal, the least-squares （LS） and minimum mean squared error （MMSE） criteria are discussed and the comparable performance of LS with MMSE for sample- spaced channel is revealed. Incorporated the dynamical channel model, gradient particle filtering is further introduced to improve the estimation performance. The robustness of the channel estimator for underestimated Doppler frequency and the effectiveness of the new estimation scheme are illustrated through simulation at last.</description><identifier>ISSN: 1004-4132</identifier><identifier>EISSN: 1004-4132</identifier><identifier>DOI: 10.3969/j.issn.1004-4132.2010.01.024</identifier><language>eng</language><publisher>Southwest Electronic Technology Research Institute, Chengdu 610036, P. R. China%School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology,Nanjing 210094, E R. China</publisher><subject>MIMO ; OFDM系统 ; 信道估计 ; 信道冲激响应 ; 最小均方误差 ; 状态估计 ; 粒子滤波算法 ; 贝叶斯</subject><ispartof>Journal of systems engineering and electronics, 2010-02, Vol.21 (1), p.148-153</ispartof><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/85918X/85918X.jpg</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Xu, Maoge</creatorcontrib><creatorcontrib>Song, Yaoliang</creatorcontrib><title>Bayesian sequential state estimation for MIMO-OFDM systems</title><title>Journal of systems engineering and electronics</title><addtitle>Journal of Systems Engineering and Electronics</addtitle><description>For the estimation of MIMO frequency selective channel, to mitigate the curse of dimensionality, a novel particle filtering scheme combined with time delay domain processing is proposed. In order to extract the time delay domain channel impulse response from the observed signal, the least-squares （LS） and minimum mean squared error （MMSE） criteria are discussed and the comparable performance of LS with MMSE for sample- spaced channel is revealed. Incorporated the dynamical channel model, gradient particle filtering is further introduced to improve the estimation performance. The robustness of the channel estimator for underestimated Doppler frequency and the effectiveness of the new estimation scheme are illustrated through simulation at last.</description><subject>MIMO</subject><subject>OFDM系统</subject><subject>信道估计</subject><subject>信道冲激响应</subject><subject>最小均方误差</subject><subject>状态估计</subject><subject>粒子滤波算法</subject><subject>贝叶斯</subject><issn>1004-4132</issn><issn>1004-4132</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNpNUN9LwzAQDqLgmPsfigi-2JpfW1fxRafTwcZe9DkkaTJTu3TrZWj9623pEMNBjrvv7rvvQ-iK4IRlk-y2SByATwjGPOaE0YTitoVJgik_QYO_-um__ByNAArcvRRTigfo7lE2Bpz0EZj9wfjgZBlBkMFEBoLbyuAqH9mqjlaL1Tpez59WETQQzBYu0JmVJZjR8R-i9_nz2-w1Xq5fFrOHZazZeBpipjMmtc7HynJqZKrSXFODtTV2qqxlTE0zrsac5ZJKOeGZskrlDNvMcD7JFRuim37vl_RW-o0oqkPtW0bxHTa6yX8KEKYT3wblLfy6h-_qqlUEQWwdaFOW0pvqACLljBCCU9Yi73ukriuA2lixq1vFdSMIFp3HohCdx6LzT3T-iY5GYCJ6osvj-EflN3vXXqak_rSuNIJ1HCRL2S8RK32b</recordid><startdate>20100201</startdate><enddate>20100201</enddate><creator>Xu, Maoge</creator><creator>Song, Yaoliang</creator><general>Southwest Electronic Technology Research Institute, Chengdu 610036, P. R. China%School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology,Nanjing 210094, E 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>20100201</creationdate><title>Bayesian sequential state estimation for MIMO-OFDM systems</title><author>Xu, Maoge ; Song, Yaoliang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-3c93accd5bf42ea7b7dc2e0cfef8bff33b894b543da2aa649bfbbd30f9e446db3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>MIMO</topic><topic>OFDM系统</topic><topic>信道估计</topic><topic>信道冲激响应</topic><topic>最小均方误差</topic><topic>状态估计</topic><topic>粒子滤波算法</topic><topic>贝叶斯</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Maoge</creatorcontrib><creatorcontrib>Song, Yaoliang</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</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 & 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>Xu, Maoge</au><au>Song, Yaoliang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bayesian sequential state estimation for MIMO-OFDM systems</atitle><jtitle>Journal of systems engineering and electronics</jtitle><addtitle>Journal of Systems Engineering and Electronics</addtitle><date>2010-02-01</date><risdate>2010</risdate><volume>21</volume><issue>1</issue><spage>148</spage><epage>153</epage><pages>148-153</pages><issn>1004-4132</issn><eissn>1004-4132</eissn><abstract>For the estimation of MIMO frequency selective channel, to mitigate the curse of dimensionality, a novel particle filtering scheme combined with time delay domain processing is proposed. In order to extract the time delay domain channel impulse response from the observed signal, the least-squares （LS） and minimum mean squared error （MMSE） criteria are discussed and the comparable performance of LS with MMSE for sample- spaced channel is revealed. Incorporated the dynamical channel model, gradient particle filtering is further introduced to improve the estimation performance. The robustness of the channel estimator for underestimated Doppler frequency and the effectiveness of the new estimation scheme are illustrated through simulation at last.</abstract><pub>Southwest Electronic Technology Research Institute, Chengdu 610036, P. R. China%School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology,Nanjing 210094, E R. China</pub><doi>10.3969/j.issn.1004-4132.2010.01.024</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1004-4132 |
| ispartof | Journal of systems engineering and electronics, 2010-02, Vol.21 (1), p.148-153 |
| issn | 1004-4132 1004-4132 |
| language | eng |
| recordid | cdi_wanfang_journals_xtgcydzjs_e201001024 |
| source | IEEE Power & Energy Library; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | MIMO OFDM系统 信道估计 信道冲激响应 最小均方误差 状态估计 粒子滤波算法 贝叶斯 |
| title | Bayesian sequential state estimation for MIMO-OFDM systems |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T18%3A37%3A31IST&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=Bayesian%20sequential%20state%20estimation%20for%20MIMO-OFDM%20systems&rft.jtitle=Journal%20of%20systems%20engineering%20and%20electronics&rft.au=Xu,%20Maoge&rft.date=2010-02-01&rft.volume=21&rft.issue=1&rft.spage=148&rft.epage=153&rft.pages=148-153&rft.issn=1004-4132&rft.eissn=1004-4132&rft_id=info:doi/10.3969/j.issn.1004-4132.2010.01.024&rft_dat=%3Cwanfang_jour_proqu%3Extgcydzjs_e201001024%3C/wanfang_jour_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=743111073&rft_id=info:pmid/&rft_cqvip_id=33111197&rft_wanfj_id=xtgcydzjs_e201001024&rfr_iscdi=true |