An Improved Dominant Mode Rejection Adaptive Beamforming Algorithm
Dominant mode rejection (DMR) algorithm, applied to low SNR signal circumstance, is a typical eigenspace-based algorithm which has small computational load and fast convergence speed. But for a real adaptive array which applies DMR algorithm, it is important to maintain the robust performance of the...
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| creator | Ning Li Jun Tang Yingning Peng Xiutan Wang |
| description | Dominant mode rejection (DMR) algorithm, applied to low SNR signal circumstance, is a typical eigenspace-based algorithm which has small computational load and fast convergence speed. But for a real adaptive array which applies DMR algorithm, it is important to maintain the robust performance of the adaptive array in different SNR signal circumstances, because it's hard to obtain prior-knowledge of the strength of the signal. Through analyzing the algorithm structure, this paper proposes an improved DMR algorithm, which rejects the signal components more weakly. Compared with conventional DMR algorithm, the improved DMR algorithm is more robust against signal mismatch, such as DOA mismatch. It has larger array gain' in high SNR case and maintains satisfying performance in low SNR case as well. Simulation results verify the conclusions |
| doi_str_mv | 10.1109/ICR.2006.343294 |
| format | Conference Proceeding |
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But for a real adaptive array which applies DMR algorithm, it is important to maintain the robust performance of the adaptive array in different SNR signal circumstances, because it's hard to obtain prior-knowledge of the strength of the signal. Through analyzing the algorithm structure, this paper proposes an improved DMR algorithm, which rejects the signal components more weakly. Compared with conventional DMR algorithm, the improved DMR algorithm is more robust against signal mismatch, such as DOA mismatch. It has larger array gain' in high SNR case and maintains satisfying performance in low SNR case as well. Simulation results verify the conclusions</description><identifier>ISBN: 0780395824</identifier><identifier>ISBN: 9780780395824</identifier><identifier>EISBN: 0780395832</identifier><identifier>EISBN: 9780780395831</identifier><identifier>DOI: 10.1109/ICR.2006.343294</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptive arrays ; Adaptive Beamforming ; Array signal processing ; Convergence ; Direction of arrival estimation ; Dominant Mode Rejection ; Eigendecomposition ; Eigenvalues and eigenfunctions ; Interference ; Robustness ; Signal processing ; Signal processing algorithms ; Signal to noise ratio</subject><ispartof>2006 CIE International Conference on Radar, 2006, p.1-4</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4148400$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4148400$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ning Li</creatorcontrib><creatorcontrib>Jun Tang</creatorcontrib><creatorcontrib>Yingning Peng</creatorcontrib><creatorcontrib>Xiutan Wang</creatorcontrib><title>An Improved Dominant Mode Rejection Adaptive Beamforming Algorithm</title><title>2006 CIE International Conference on Radar</title><addtitle>ICR</addtitle><description>Dominant mode rejection (DMR) algorithm, applied to low SNR signal circumstance, is a typical eigenspace-based algorithm which has small computational load and fast convergence speed. 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Simulation results verify the conclusions</description><subject>Adaptive arrays</subject><subject>Adaptive Beamforming</subject><subject>Array signal processing</subject><subject>Convergence</subject><subject>Direction of arrival estimation</subject><subject>Dominant Mode Rejection</subject><subject>Eigendecomposition</subject><subject>Eigenvalues and eigenfunctions</subject><subject>Interference</subject><subject>Robustness</subject><subject>Signal processing</subject><subject>Signal processing algorithms</subject><subject>Signal to noise ratio</subject><isbn>0780395824</isbn><isbn>9780780395824</isbn><isbn>0780395832</isbn><isbn>9780780395831</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFT19LwzAcjIigzj374Eu-QOcv-eVP-9hVp4WJMPY-0iaZGWtT2jLw2xtQ8F6Og7vjjpBHBivGoHiuq92KA6gVCuSFuCL3oHPAQubIr_8FF7dkOU0nSMBCAcM7si57WnfDGC_O0pfYhd70M_2I1tGdO7l2DrGnpTXDHC6Orp3pfByT60jL8zGOYf7qHsiNN-fJLf94Qfab1331nm0_3-qq3GahgDnjqDlIaxwgatt6jaxN-6QCrXVjvG68RGx02-pG-cQcc54SwkrLlVS4IE-_tcE5dxjG0Jnx-yCYyEW68wOMZkjG</recordid><startdate>200610</startdate><enddate>200610</enddate><creator>Ning Li</creator><creator>Jun Tang</creator><creator>Yingning Peng</creator><creator>Xiutan Wang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200610</creationdate><title>An Improved Dominant Mode Rejection Adaptive Beamforming Algorithm</title><author>Ning Li ; Jun Tang ; Yingning Peng ; Xiutan Wang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-237205dae0337dcf731c583560777baf7bf533b7cc7b6fb7c23822054d5d26563</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Adaptive arrays</topic><topic>Adaptive Beamforming</topic><topic>Array signal processing</topic><topic>Convergence</topic><topic>Direction of arrival estimation</topic><topic>Dominant Mode Rejection</topic><topic>Eigendecomposition</topic><topic>Eigenvalues and eigenfunctions</topic><topic>Interference</topic><topic>Robustness</topic><topic>Signal processing</topic><topic>Signal processing algorithms</topic><topic>Signal to noise ratio</topic><toplevel>online_resources</toplevel><creatorcontrib>Ning Li</creatorcontrib><creatorcontrib>Jun Tang</creatorcontrib><creatorcontrib>Yingning Peng</creatorcontrib><creatorcontrib>Xiutan Wang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ning Li</au><au>Jun Tang</au><au>Yingning Peng</au><au>Xiutan Wang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An Improved Dominant Mode Rejection Adaptive Beamforming Algorithm</atitle><btitle>2006 CIE International Conference on Radar</btitle><stitle>ICR</stitle><date>2006-10</date><risdate>2006</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><isbn>0780395824</isbn><isbn>9780780395824</isbn><eisbn>0780395832</eisbn><eisbn>9780780395831</eisbn><abstract>Dominant mode rejection (DMR) algorithm, applied to low SNR signal circumstance, is a typical eigenspace-based algorithm which has small computational load and fast convergence speed. But for a real adaptive array which applies DMR algorithm, it is important to maintain the robust performance of the adaptive array in different SNR signal circumstances, because it's hard to obtain prior-knowledge of the strength of the signal. Through analyzing the algorithm structure, this paper proposes an improved DMR algorithm, which rejects the signal components more weakly. Compared with conventional DMR algorithm, the improved DMR algorithm is more robust against signal mismatch, such as DOA mismatch. It has larger array gain' in high SNR case and maintains satisfying performance in low SNR case as well. Simulation results verify the conclusions</abstract><pub>IEEE</pub><doi>10.1109/ICR.2006.343294</doi><tpages>4</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adaptive arrays Adaptive Beamforming Array signal processing Convergence Direction of arrival estimation Dominant Mode Rejection Eigendecomposition Eigenvalues and eigenfunctions Interference Robustness Signal processing Signal processing algorithms Signal to noise ratio |
| title | An Improved Dominant Mode Rejection Adaptive Beamforming Algorithm |
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