Performance evaluation of direction of arrival estimation using MUSIC and ESPRIT algorithms for mobile communication systems
Source direction of arrival (DOA) estimation is one of the challenging problems in many applications. Such applications can be seen in wireless communications, radar, radio astronomy, sonar and navigation. The resolution of a source direction of arrival estimation can be enhanced by an array antenna...
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| creator | Abdalla, M. M. Abuitbel, M. B. Hassan, M. A. |
| description | Source direction of arrival (DOA) estimation is one of the challenging problems in many applications. Such applications can be seen in wireless communications, radar, radio astronomy, sonar and navigation. The resolution of a source direction of arrival estimation can be enhanced by an array antenna system with innovative signal processing. Super resolution techniques take the advantage of array antenna structures to better process the incoming waves. These techniques also have the capability to identify the direction of multiple targets. This paper investigates performance of the DOA estimation algorithms namely; MUSIC and ESPRIT on the uniform linear array (ULA) in the presence of white noise. The performance of these DOA algorithms for a set of input parameters such as number of snapshots, number of array elements, signal-to-noise ratio are investigated. The simulation results showed that the resolution of the DOA techniques MUSIC and ESPRIT improves as number of snapshots, number of array elements, signal-to-noise ratio and separation angle between the two sources are increased. |
| doi_str_mv | 10.1109/WMNC.2013.6549043 |
| format | Conference Proceeding |
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The performance of these DOA algorithms for a set of input parameters such as number of snapshots, number of array elements, signal-to-noise ratio are investigated. 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M.</creatorcontrib><creatorcontrib>Abuitbel, M. B.</creatorcontrib><creatorcontrib>Hassan, M. A.</creatorcontrib><title>Performance evaluation of direction of arrival estimation using MUSIC and ESPRIT algorithms for mobile communication systems</title><title>6th Joint IFIP Wireless and Mobile Networking Conference (WMNC)</title><addtitle>WMNC</addtitle><description>Source direction of arrival (DOA) estimation is one of the challenging problems in many applications. Such applications can be seen in wireless communications, radar, radio astronomy, sonar and navigation. The resolution of a source direction of arrival estimation can be enhanced by an array antenna system with innovative signal processing. Super resolution techniques take the advantage of array antenna structures to better process the incoming waves. These techniques also have the capability to identify the direction of multiple targets. This paper investigates performance of the DOA estimation algorithms namely; MUSIC and ESPRIT on the uniform linear array (ULA) in the presence of white noise. The performance of these DOA algorithms for a set of input parameters such as number of snapshots, number of array elements, signal-to-noise ratio are investigated. The simulation results showed that the resolution of the DOA techniques MUSIC and ESPRIT improves as number of snapshots, number of array elements, signal-to-noise ratio and separation angle between the two sources are increased.</description><subject>Array Signal Processing</subject><subject>Arrays</subject><subject>Covariance matrices</subject><subject>Direction of Arrival (DOA)</subject><subject>Direction-of-arrival estimation</subject><subject>Estimation</subject><subject>Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT)</subject><subject>Multiple signal classification</subject><subject>Multiple Signal Classification (MUSIC) algorithm</subject><subject>Signal to noise ratio</subject><subject>ULA</subject><isbn>9781467356152</isbn><isbn>1467356158</isbn><isbn>9781467356145</isbn><isbn>9781467356169</isbn><isbn>146735614X</isbn><isbn>1467356166</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVUN1KwzAYjYigzD6AeJMX6EyaNG0upUwtbDpcxcuRNl9mpGklaYWBD2-h88Krw-H8wDkI3VCypJTIu_fNc7FMCGVLkXJJODtDkcxyykXGUkF5ev6Pp8klikL4JIRM8YxIeYV-tuBN753qGsDwrdpRDbbvcG-wth6aP6K8t5OKIQzWzZYx2O6AN2-7ssCq03i1276WFVbtofd2-HABT8XY9bVtATe9c2NnmzkajmEAF67RhVFtgOiEC1Q9rKriKV6_PJbF_Tq2NEuH2ECekFxmhCtaa6YNKCNykTApeKZpXQNPFBUUSC2ZSjk3RHHNc6pNrhPDFuh2rrUAsP_y0wB_3J8uY7--nmGQ</recordid><startdate>201304</startdate><enddate>201304</enddate><creator>Abdalla, M. M.</creator><creator>Abuitbel, M. B.</creator><creator>Hassan, M. A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201304</creationdate><title>Performance evaluation of direction of arrival estimation using MUSIC and ESPRIT algorithms for mobile communication systems</title><author>Abdalla, M. M. ; Abuitbel, M. B. ; Hassan, M. A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-fe82089704a1bd3dfeaf686239647d1bbe42a161e0b93a544f0a4d481df8d2f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Array Signal Processing</topic><topic>Arrays</topic><topic>Covariance matrices</topic><topic>Direction of Arrival (DOA)</topic><topic>Direction-of-arrival estimation</topic><topic>Estimation</topic><topic>Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT)</topic><topic>Multiple signal classification</topic><topic>Multiple Signal Classification (MUSIC) algorithm</topic><topic>Signal to noise ratio</topic><topic>ULA</topic><toplevel>online_resources</toplevel><creatorcontrib>Abdalla, M. M.</creatorcontrib><creatorcontrib>Abuitbel, M. B.</creatorcontrib><creatorcontrib>Hassan, M. A.</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>Abdalla, M. M.</au><au>Abuitbel, M. B.</au><au>Hassan, M. A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Performance evaluation of direction of arrival estimation using MUSIC and ESPRIT algorithms for mobile communication systems</atitle><btitle>6th Joint IFIP Wireless and Mobile Networking Conference (WMNC)</btitle><stitle>WMNC</stitle><date>2013-04</date><risdate>2013</risdate><spage>1</spage><epage>7</epage><pages>1-7</pages><isbn>9781467356152</isbn><isbn>1467356158</isbn><eisbn>9781467356145</eisbn><eisbn>9781467356169</eisbn><eisbn>146735614X</eisbn><eisbn>1467356166</eisbn><abstract>Source direction of arrival (DOA) estimation is one of the challenging problems in many applications. Such applications can be seen in wireless communications, radar, radio astronomy, sonar and navigation. The resolution of a source direction of arrival estimation can be enhanced by an array antenna system with innovative signal processing. Super resolution techniques take the advantage of array antenna structures to better process the incoming waves. These techniques also have the capability to identify the direction of multiple targets. This paper investigates performance of the DOA estimation algorithms namely; MUSIC and ESPRIT on the uniform linear array (ULA) in the presence of white noise. The performance of these DOA algorithms for a set of input parameters such as number of snapshots, number of array elements, signal-to-noise ratio are investigated. The simulation results showed that the resolution of the DOA techniques MUSIC and ESPRIT improves as number of snapshots, number of array elements, signal-to-noise ratio and separation angle between the two sources are increased.</abstract><pub>IEEE</pub><doi>10.1109/WMNC.2013.6549043</doi><tpages>7</tpages></addata></record> |
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| subjects | Array Signal Processing Arrays Covariance matrices Direction of Arrival (DOA) Direction-of-arrival estimation Estimation Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) Multiple signal classification Multiple Signal Classification (MUSIC) algorithm Signal to noise ratio ULA |
| title | Performance evaluation of direction of arrival estimation using MUSIC and ESPRIT algorithms for mobile communication systems |
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