Robust Digital Non-Linear Self-Interference Cancellation in Full Duplex Radios with Maximum Correntropy Criterion
Full duplex radio increases the frequency efficiency but its performance is limited by the self-interference （SI）. We first analyze the multiple noises in the full duplex radio system and model such noises as an α - stable distribution. Then we formulate a novel non-Gaussian SI problem. Under the ma...
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| Veröffentlicht in: | China communications 2016-09, Vol.13 (9), p.53-59 |
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| container_title | China communications |
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| creator | Luan, Zhirong Qu, Hua Zhao, Jihong Chen, Badong |
| description | Full duplex radio increases the frequency efficiency but its performance is limited by the self-interference （SI）. We first analyze the multiple noises in the full duplex radio system and model such noises as an α - stable distribution. Then we formulate a novel non-Gaussian SI problem. Under the maximum correntropy criterion （MCC）, a robust digital non-linear self-interference cancellation algorithm is proposed for the SI channel estimation. A gradient descent based algorithm is derived to search the optimal solution. Simulation results show that the proposed algorithm can achieve a smaller estimation error and a higher pseudo signal to interference plus noise ratio （PSINR） than the well-known least mean square （LMS） algorithm and least square （LS） algorithm. |
| doi_str_mv | 10.1109/CC.2016.7582296 |
| format | Article |
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We first analyze the multiple noises in the full duplex radio system and model such noises as an α - stable distribution. Then we formulate a novel non-Gaussian SI problem. Under the maximum correntropy criterion （MCC）, a robust digital non-linear self-interference cancellation algorithm is proposed for the SI channel estimation. A gradient descent based algorithm is derived to search the optimal solution. Simulation results show that the proposed algorithm can achieve a smaller estimation error and a higher pseudo signal to interference plus noise ratio （PSINR） than the well-known least mean square （LMS） algorithm and least square （LS） algorithm.</description><identifier>ISSN: 1673-5447</identifier><identifier>DOI: 10.1109/CC.2016.7582296</identifier><identifier>CODEN: CCHOBE</identifier><language>eng</language><publisher>China Institute of Communications</publisher><subject>Channel estimation ; correntropy ; Cost function ; digital non-linear self-interference cancellation ; full duplex radio ; Interference cancellation ; Kernel ; Receivers ; robust estimation ; Robustness ; α-stable noise ; 信号干扰噪声比 ; 全双工 ; 干扰消除 ; 数字非线性 ; 无线电频率 ; 标准 ; 消除算法 ; 鲁棒</subject><ispartof>China communications, 2016-09, Vol.13 (9), p.53-59</ispartof><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c318t-5cbc447c3c4f90c41fc29600290139519dac8074752877a3c4c1fac5519f1ea33</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/89450X/89450X.jpg</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7582296$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7582296$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Luan, Zhirong</creatorcontrib><creatorcontrib>Qu, Hua</creatorcontrib><creatorcontrib>Zhao, Jihong</creatorcontrib><creatorcontrib>Chen, Badong</creatorcontrib><title>Robust Digital Non-Linear Self-Interference Cancellation in Full Duplex Radios with Maximum Correntropy Criterion</title><title>China communications</title><addtitle>ChinaComm</addtitle><addtitle>China Communications</addtitle><description>Full duplex radio increases the frequency efficiency but its performance is limited by the self-interference （SI）. We first analyze the multiple noises in the full duplex radio system and model such noises as an α - stable distribution. Then we formulate a novel non-Gaussian SI problem. Under the maximum correntropy criterion （MCC）, a robust digital non-linear self-interference cancellation algorithm is proposed for the SI channel estimation. A gradient descent based algorithm is derived to search the optimal solution. Simulation results show that the proposed algorithm can achieve a smaller estimation error and a higher pseudo signal to interference plus noise ratio （PSINR） than the well-known least mean square （LMS） algorithm and least square （LS） algorithm.</description><subject>Channel estimation</subject><subject>correntropy</subject><subject>Cost function</subject><subject>digital non-linear self-interference cancellation</subject><subject>full duplex radio</subject><subject>Interference cancellation</subject><subject>Kernel</subject><subject>Receivers</subject><subject>robust estimation</subject><subject>Robustness</subject><subject>α-stable noise</subject><subject>信号干扰噪声比</subject><subject>全双工</subject><subject>干扰消除</subject><subject>数字非线性</subject><subject>无线电频率</subject><subject>标准</subject><subject>消除算法</subject><subject>鲁棒</subject><issn>1673-5447</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpFkM1PAjEQxfegiQQ5e_DSmHhcaLe7292jKX6QoCao56aUdikpLXS7AfzrLQG1h-lhfu_NzEuSGwSHCMF6ROkwg6gckqLKsrq8SHqoJDgt8pxcJYO2XcH4qrLEZdZLtjM379oAxrrRgRvw5mw61VZyDz6kUenEBumV9NIKCSiP1RgetLNAW_DUGQPG3cbIPZjxhXYt2OmwBK98r9fdGlDnozB4tzkA6nV0isLr5FJx08rB-e8nX0-Pn_Qlnb4_T-jDNBUYVSEtxFzEjQUWuaqhyJES8RgIsxoiXBeoXnBRQZKTIqsI4RETSHFRxI5CkmPcT-5PvjtuFbcNW7nO2ziRfTdhf0wI1hCWkRudOOFd23qp2MbrNfcHhiA7BsooZUecnQONituTQksp_-j_7t3Zb-lss9Vx8i9SEogqkucY_wBX737c</recordid><startdate>20160901</startdate><enddate>20160901</enddate><creator>Luan, Zhirong</creator><creator>Qu, Hua</creator><creator>Zhao, Jihong</creator><creator>Chen, Badong</creator><general>China Institute of Communications</general><general>School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an 710061, China</general><general>School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China%School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20160901</creationdate><title>Robust Digital Non-Linear Self-Interference Cancellation in Full Duplex Radios with Maximum Correntropy Criterion</title><author>Luan, Zhirong ; Qu, Hua ; Zhao, Jihong ; Chen, Badong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c318t-5cbc447c3c4f90c41fc29600290139519dac8074752877a3c4c1fac5519f1ea33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Channel estimation</topic><topic>correntropy</topic><topic>Cost function</topic><topic>digital non-linear self-interference cancellation</topic><topic>full duplex radio</topic><topic>Interference cancellation</topic><topic>Kernel</topic><topic>Receivers</topic><topic>robust estimation</topic><topic>Robustness</topic><topic>α-stable noise</topic><topic>信号干扰噪声比</topic><topic>全双工</topic><topic>干扰消除</topic><topic>数字非线性</topic><topic>无线电频率</topic><topic>标准</topic><topic>消除算法</topic><topic>鲁棒</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Luan, Zhirong</creatorcontrib><creatorcontrib>Qu, Hua</creatorcontrib><creatorcontrib>Zhao, Jihong</creatorcontrib><creatorcontrib>Chen, Badong</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>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</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>China communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Luan, Zhirong</au><au>Qu, Hua</au><au>Zhao, Jihong</au><au>Chen, Badong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robust Digital Non-Linear Self-Interference Cancellation in Full Duplex Radios with Maximum Correntropy Criterion</atitle><jtitle>China communications</jtitle><stitle>ChinaComm</stitle><addtitle>China Communications</addtitle><date>2016-09-01</date><risdate>2016</risdate><volume>13</volume><issue>9</issue><spage>53</spage><epage>59</epage><pages>53-59</pages><issn>1673-5447</issn><coden>CCHOBE</coden><abstract>Full duplex radio increases the frequency efficiency but its performance is limited by the self-interference （SI）. We first analyze the multiple noises in the full duplex radio system and model such noises as an α - stable distribution. Then we formulate a novel non-Gaussian SI problem. Under the maximum correntropy criterion （MCC）, a robust digital non-linear self-interference cancellation algorithm is proposed for the SI channel estimation. A gradient descent based algorithm is derived to search the optimal solution. Simulation results show that the proposed algorithm can achieve a smaller estimation error and a higher pseudo signal to interference plus noise ratio （PSINR） than the well-known least mean square （LMS） algorithm and least square （LS） algorithm.</abstract><pub>China Institute of Communications</pub><doi>10.1109/CC.2016.7582296</doi><tpages>7</tpages></addata></record> |
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| ispartof | China communications, 2016-09, Vol.13 (9), p.53-59 |
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| subjects | Channel estimation correntropy Cost function digital non-linear self-interference cancellation full duplex radio Interference cancellation Kernel Receivers robust estimation Robustness α-stable noise 信号干扰噪声比 全双工 干扰消除 数字非线性 无线电频率 标准 消除算法 鲁棒 |
| title | Robust Digital Non-Linear Self-Interference Cancellation in Full Duplex Radios with Maximum Correntropy Criterion |
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