Least squares frequency estimation in frequency-selective channels and its application to transmissions with antenna diversity
A new data-aided frequency estimator for frequency-selective fading channels is introduced. The proposed estimator is developed based on a least squares (LS) error criterion and can estimate frequency offsets without the need for channel information. Statistical analysis indicates that the resulting...
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Veröffentlicht in: | IEEE journal on selected areas in communications 2001-12, Vol.19 (12), p.2369-2380 |
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creator | Eui-Rim Jeong Sung-Kwon Jo Lee, Y.H. |
description | A new data-aided frequency estimator for frequency-selective fading channels is introduced. The proposed estimator is developed based on a least squares (LS) error criterion and can estimate frequency offsets without the need for channel information. Statistical analysis indicates that the resulting estimate is unbiased and tends to approach the Cramer-Rao lower bound (CRLB). Simulation shows that the proposed LS method is preferable to existing techniques in mobile communications. The application of the LS estimator to systems with transmitter antenna diversity is also considered. In particular, it is demonstrated that the LS method can be successfully applied to third-generation wireless communication systems. |
doi_str_mv | 10.1109/49.974603 |
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The proposed estimator is developed based on a least squares (LS) error criterion and can estimate frequency offsets without the need for channel information. Statistical analysis indicates that the resulting estimate is unbiased and tends to approach the Cramer-Rao lower bound (CRLB). Simulation shows that the proposed LS method is preferable to existing techniques in mobile communications. The application of the LS estimator to systems with transmitter antenna diversity is also considered. In particular, it is demonstrated that the LS method can be successfully applied to third-generation wireless communication systems.</description><identifier>ISSN: 0733-8716</identifier><identifier>EISSN: 1558-0008</identifier><identifier>DOI: 10.1109/49.974603</identifier><identifier>CODEN: ISACEM</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Antennas ; AWGN ; Channels ; Criteria ; Degradation ; Estimates ; Estimators ; Frequency diversity ; Frequency estimation ; Frequency-selective fading channels ; Least squares approximation ; Least squares method ; Maximum likelihood estimation ; Simulation ; Transmitters ; Transmitting antennas ; Wireless communication ; Wireless communication systems</subject><ispartof>IEEE journal on selected areas in communications, 2001-12, Vol.19 (12), p.2369-2380</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2001</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c336t-54c53271018edf97b15cde4728a55d1834c3e368f31e3a45bd065cd6afce8f5f3</citedby><cites>FETCH-LOGICAL-c336t-54c53271018edf97b15cde4728a55d1834c3e368f31e3a45bd065cd6afce8f5f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/974603$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/974603$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Eui-Rim Jeong</creatorcontrib><creatorcontrib>Sung-Kwon Jo</creatorcontrib><creatorcontrib>Lee, Y.H.</creatorcontrib><title>Least squares frequency estimation in frequency-selective channels and its application to transmissions with antenna diversity</title><title>IEEE journal on selected areas in communications</title><addtitle>J-SAC</addtitle><description>A new data-aided frequency estimator for frequency-selective fading channels is introduced. The proposed estimator is developed based on a least squares (LS) error criterion and can estimate frequency offsets without the need for channel information. Statistical analysis indicates that the resulting estimate is unbiased and tends to approach the Cramer-Rao lower bound (CRLB). Simulation shows that the proposed LS method is preferable to existing techniques in mobile communications. The application of the LS estimator to systems with transmitter antenna diversity is also considered. In particular, it is demonstrated that the LS method can be successfully applied to third-generation wireless communication systems.</description><subject>Antennas</subject><subject>AWGN</subject><subject>Channels</subject><subject>Criteria</subject><subject>Degradation</subject><subject>Estimates</subject><subject>Estimators</subject><subject>Frequency diversity</subject><subject>Frequency estimation</subject><subject>Frequency-selective fading channels</subject><subject>Least squares approximation</subject><subject>Least squares method</subject><subject>Maximum likelihood estimation</subject><subject>Simulation</subject><subject>Transmitters</subject><subject>Transmitting antennas</subject><subject>Wireless communication</subject><subject>Wireless communication systems</subject><issn>0733-8716</issn><issn>1558-0008</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp90TtLBDEQAOAgCp6nha1VsFAsVpPNY7OlHL7gwEbrJWZnMbKXvcvklGv87Ub2ULCwGib5JmRmCDnm7JJzVl_J-rKupGZih0y4UqZgjJldMmGVEIWpuN4nB4hvjHEpTTkhn3OwmCiu1jYC0i7Cag3BbShg8gub_BCoD7_nBUIPLvl3oO7VhgA9Uhta6lOOy2Xv3ViTBpqiDbjwiDlH-uHTa5YJQrC0zfURfdockr3O9ghH2zglz7c3T7P7Yv549zC7nhdOCJ0KJZ0SZcUZN9B2dfXClWtBVqWxSrXcCOkECG06wUFYqV5aprPQtnNgOtWJKTkf313GITeCqckfc9D3NsCwxqbmUmsllcry7F9ZGqGlrlmGp3_g27COIXfRGJOFKXmZ0cWIXBwQI3TNMuaxxk3DWfO9sEbWzbiwbE9G6wHgx20vvwDeLJMt</recordid><startdate>20011201</startdate><enddate>20011201</enddate><creator>Eui-Rim Jeong</creator><creator>Sung-Kwon Jo</creator><creator>Lee, Y.H.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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The proposed estimator is developed based on a least squares (LS) error criterion and can estimate frequency offsets without the need for channel information. Statistical analysis indicates that the resulting estimate is unbiased and tends to approach the Cramer-Rao lower bound (CRLB). Simulation shows that the proposed LS method is preferable to existing techniques in mobile communications. The application of the LS estimator to systems with transmitter antenna diversity is also considered. In particular, it is demonstrated that the LS method can be successfully applied to third-generation wireless communication systems.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/49.974603</doi><tpages>12</tpages></addata></record> |
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subjects | Antennas AWGN Channels Criteria Degradation Estimates Estimators Frequency diversity Frequency estimation Frequency-selective fading channels Least squares approximation Least squares method Maximum likelihood estimation Simulation Transmitters Transmitting antennas Wireless communication Wireless communication systems |
title | Least squares frequency estimation in frequency-selective channels and its application to transmissions with antenna diversity |
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