Sensitivity analysis of DOA estimation algorithms to sensor errors
A unified statistical performance analysis using subspace perturbation expansions is applied to subspace-based algorithms for direction-of-arrival (DOA) estimation in the presence of sensor errors. In particular, the multiple signal classification (MUSIC), min-norm, state-space realization (TAM and...
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| Veröffentlicht in: | IEEE transactions on aerospace and electronic systems 1992-07, Vol.28 (3), p.708-717 |
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| container_end_page | 717 |
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| container_title | IEEE transactions on aerospace and electronic systems |
| container_volume | 28 |
| creator | Li, F. Vaccaro, R.J. |
| description | A unified statistical performance analysis using subspace perturbation expansions is applied to subspace-based algorithms for direction-of-arrival (DOA) estimation in the presence of sensor errors. In particular, the multiple signal classification (MUSIC), min-norm, state-space realization (TAM and DDA) and estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithms are analyzed. This analysis assumes that only a finite amount of data is available. An analytical expression for the mean-squared error of the DOA estimates is developed for theoretical comparison in a simple and self-contained fashion. The tractable formulas provide insight into the algorithms. Simulation results verify the analysis.< > |
| doi_str_mv | 10.1109/7.256292 |
| format | Article |
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In particular, the multiple signal classification (MUSIC), min-norm, state-space realization (TAM and DDA) and estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithms are analyzed. This analysis assumes that only a finite amount of data is available. An analytical expression for the mean-squared error of the DOA estimates is developed for theoretical comparison in a simple and self-contained fashion. The tractable formulas provide insight into the algorithms. 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Simulation results verify the analysis.< ></description><subject>Algorithm design and analysis</subject><subject>Analytical models</subject><subject>Applied sciences</subject><subject>Direction of arrival estimation</subject><subject>Exact sciences and technology</subject><subject>Multiple signal classification</subject><subject>Parameter estimation</subject><subject>Performance analysis</subject><subject>Radiolocalization and radionavigation</subject><subject>Sensitivity analysis</subject><subject>Signal analysis</subject><subject>State estimation</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><issn>0018-9251</issn><issn>1557-9603</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1992</creationdate><recordtype>article</recordtype><recordid>eNqF0EtLAzEUBeAgCtYquHaVhYibqUkmz2WtTyh0oa6HdOZGI9NJTaZC_72RKd12dQn3y-FyELqkZEIpMXdqwoRkhh2hERVCFUaS8hiNCKG6MEzQU3SW0nd-cs3LEbp_gy753v_6fottZ9tt8gkHhx8WUwyp9yvb-9Bh236G6PuvVcJ9wCl_ChFDjCGmc3TibJvgYjfH6OPp8X32UswXz6-z6byoSyn7ojFLxUrOAExNacM4OEMb2yxJ6fKRsmG05EoxDU7XglJotFOgJVgtQGlZjtHNkLuO4WeTb6tWPtXQtraDsEkVM4QzZvRhqCWnUpeHodCKG8EzvB1gHUNKEVy1jrmZuK0oqf5rr1Q11J7p9S7Tptq2Ltqu9mnvhRBUS5PZ1cA8AOy3u4w_A7uJCA</recordid><startdate>19920701</startdate><enddate>19920701</enddate><creator>Li, F.</creator><creator>Vaccaro, R.J.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>7SP</scope><scope>7TB</scope><scope>FR3</scope></search><sort><creationdate>19920701</creationdate><title>Sensitivity analysis of DOA estimation algorithms to sensor errors</title><author>Li, F. ; Vaccaro, R.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c366t-d9b72342ee9c11d24ef91dadb03f9606d21347728ef8c511ed8f7e86ea85e7863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1992</creationdate><topic>Algorithm design and analysis</topic><topic>Analytical models</topic><topic>Applied sciences</topic><topic>Direction of arrival estimation</topic><topic>Exact sciences and technology</topic><topic>Multiple signal classification</topic><topic>Parameter estimation</topic><topic>Performance analysis</topic><topic>Radiolocalization and radionavigation</topic><topic>Sensitivity analysis</topic><topic>Signal analysis</topic><topic>State estimation</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, F.</creatorcontrib><creatorcontrib>Vaccaro, R.J.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on aerospace and electronic systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Li, F.</au><au>Vaccaro, R.J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sensitivity analysis of DOA estimation algorithms to sensor errors</atitle><jtitle>IEEE transactions on aerospace and electronic systems</jtitle><stitle>T-AES</stitle><date>1992-07-01</date><risdate>1992</risdate><volume>28</volume><issue>3</issue><spage>708</spage><epage>717</epage><pages>708-717</pages><issn>0018-9251</issn><eissn>1557-9603</eissn><coden>IEARAX</coden><abstract>A unified statistical performance analysis using subspace perturbation expansions is applied to subspace-based algorithms for direction-of-arrival (DOA) estimation in the presence of sensor errors. 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| source | IEEE Electronic Library (IEL) |
| subjects | Algorithm design and analysis Analytical models Applied sciences Direction of arrival estimation Exact sciences and technology Multiple signal classification Parameter estimation Performance analysis Radiolocalization and radionavigation Sensitivity analysis Signal analysis State estimation Telecommunications Telecommunications and information theory |
| title | Sensitivity analysis of DOA estimation algorithms to sensor errors |
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