EMD-Based Intermittent and Ground Clutter Removal in Radar Windprofilers
An empirical mode decomposition (EMD)-based intermittent and ground clutter removal algorithm for radar windprofilers is proposed. Intrinsic mode functions (IMFs) affected with intermittent clutter are identified and are separated into amplitude-modulated (AM) and frequency-modulated (FM) parts. The...
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| Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2022, Vol.60, p.1-8 |
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| container_title | IEEE transactions on geoscience and remote sensing |
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| creator | Neethu Mohan, M. C. Paul, Binu Rakesh, V. Rebello, Rejoy Mohanan, P. Abhilash, S. |
| description | An empirical mode decomposition (EMD)-based intermittent and ground clutter removal algorithm for radar windprofilers is proposed. Intrinsic mode functions (IMFs) affected with intermittent clutter are identified and are separated into amplitude-modulated (AM) and frequency-modulated (FM) parts. The FM part is multiplied with the envelope of the nonamplitude-modulated signal derived from the original amplitude-modulated IMF to nullify the effect of intermittent clutter. The IMFs corresponding to ground clutter are identified from the maximum entropy spectral analysis (MESA) and are rejected prior to signal reconstruction in ground clutter removal. The proposed algorithm is applied on the radar returns of 205 MHz windprofiler at Advanced Centre for Atmospheric Radar Research (ACARR) of Cochin University of Science and Technology (CUSAT), Kochi, Kerala, India ( 10.04^{\circ} \text{N} , 76.33^{\circ} \text{E} ). The windprofiler signals corrupted with flight and helicopter echoes are retrieved and the ground clutter signatures which were not removed with existing ground clutter removal methods are removed with the proposed algorithm. |
| doi_str_mv | 10.1109/TGRS.2022.3223386 |
| format | Article |
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C. ; Paul, Binu ; Rakesh, V. ; Rebello, Rejoy ; Mohanan, P. ; Abhilash, S.</creator><creatorcontrib>Neethu Mohan, M. C. ; Paul, Binu ; Rakesh, V. ; Rebello, Rejoy ; Mohanan, P. ; Abhilash, S.</creatorcontrib><description><![CDATA[An empirical mode decomposition (EMD)-based intermittent and ground clutter removal algorithm for radar windprofilers is proposed. Intrinsic mode functions (IMFs) affected with intermittent clutter are identified and are separated into amplitude-modulated (AM) and frequency-modulated (FM) parts. The FM part is multiplied with the envelope of the nonamplitude-modulated signal derived from the original amplitude-modulated IMF to nullify the effect of intermittent clutter. The IMFs corresponding to ground clutter are identified from the maximum entropy spectral analysis (MESA) and are rejected prior to signal reconstruction in ground clutter removal. The proposed algorithm is applied on the radar returns of 205 MHz windprofiler at Advanced Centre for Atmospheric Radar Research (ACARR) of Cochin University of Science and Technology (CUSAT), Kochi, Kerala, India (<inline-formula> <tex-math notation="LaTeX">10.04^{\circ} \text{N} </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">76.33^{\circ} \text{E} </tex-math></inline-formula>). The windprofiler signals corrupted with flight and helicopter echoes are retrieved and the ground clutter signatures which were not removed with existing ground clutter removal methods are removed with the proposed algorithm.]]></description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/TGRS.2022.3223386</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; Amplitude ; Amplitudes ; Auto regressive (AR) process ; Clutter ; Doppler effect ; Echoes ; Empirical analysis ; Empirical mode decomposition ; empirical mode decomposition (EMD) ; Entropy ; Frequency dependence ; Frequency modulation ; Helicopters ; Identification ; Indexes ; Maximum entropy ; Maximum entropy spectral analysis ; maximum entropy spectral analysis (MESA) ; Radar ; Radar clutter ; Removal ; Signal reconstruction ; Spectral analysis ; Spectrum analysis ; wavelet thresholding ; windprofiler</subject><ispartof>IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-8</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c245t-434b7e2391fa7e4544e802d7a14e50b02efa505edef92e31bf7440389cfbc6f53</cites><orcidid>0000-0002-3431-6033 ; 0000-0003-3573-2036 ; 0000-0002-3834-8737 ; 0000-0003-2079-6184</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9955577$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,4024,27923,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9955577$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Neethu Mohan, M. C.</creatorcontrib><creatorcontrib>Paul, Binu</creatorcontrib><creatorcontrib>Rakesh, V.</creatorcontrib><creatorcontrib>Rebello, Rejoy</creatorcontrib><creatorcontrib>Mohanan, P.</creatorcontrib><creatorcontrib>Abhilash, S.</creatorcontrib><title>EMD-Based Intermittent and Ground Clutter Removal in Radar Windprofilers</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description><![CDATA[An empirical mode decomposition (EMD)-based intermittent and ground clutter removal algorithm for radar windprofilers is proposed. Intrinsic mode functions (IMFs) affected with intermittent clutter are identified and are separated into amplitude-modulated (AM) and frequency-modulated (FM) parts. The FM part is multiplied with the envelope of the nonamplitude-modulated signal derived from the original amplitude-modulated IMF to nullify the effect of intermittent clutter. The IMFs corresponding to ground clutter are identified from the maximum entropy spectral analysis (MESA) and are rejected prior to signal reconstruction in ground clutter removal. The proposed algorithm is applied on the radar returns of 205 MHz windprofiler at Advanced Centre for Atmospheric Radar Research (ACARR) of Cochin University of Science and Technology (CUSAT), Kochi, Kerala, India (<inline-formula> <tex-math notation="LaTeX">10.04^{\circ} \text{N} </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">76.33^{\circ} \text{E} </tex-math></inline-formula>). The windprofiler signals corrupted with flight and helicopter echoes are retrieved and the ground clutter signatures which were not removed with existing ground clutter removal methods are removed with the proposed algorithm.]]></description><subject>Algorithms</subject><subject>Amplitude</subject><subject>Amplitudes</subject><subject>Auto regressive (AR) process</subject><subject>Clutter</subject><subject>Doppler effect</subject><subject>Echoes</subject><subject>Empirical analysis</subject><subject>Empirical mode decomposition</subject><subject>empirical mode decomposition (EMD)</subject><subject>Entropy</subject><subject>Frequency dependence</subject><subject>Frequency modulation</subject><subject>Helicopters</subject><subject>Identification</subject><subject>Indexes</subject><subject>Maximum entropy</subject><subject>Maximum entropy spectral analysis</subject><subject>maximum entropy spectral analysis (MESA)</subject><subject>Radar</subject><subject>Radar clutter</subject><subject>Removal</subject><subject>Signal reconstruction</subject><subject>Spectral analysis</subject><subject>Spectrum analysis</subject><subject>wavelet thresholding</subject><subject>windprofiler</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1Lw0AURQdRsFZ_gLgZcJ365iuTWWqtbaEi1IrLYZK8gZQ0qTOJ0H9vSourC49z34VDyD2DCWNgnjbz9eeEA-cTwbkQWXpBRkypLIFUyksyAmbShGeGX5ObGLcATCqmR2Qxe39NXlzEki6bDsOu6jpsOuqaks5D2w8xrfvhFugad-2vq2nV0LUrXaDfVVPuQ-urGkO8JVfe1RHvzjkmX2-zzXSRrD7my-nzKim4VF0ihcw1cmGYdxqlkhIz4KV2TKKCHDh6p0Bhid5wFCz3WkoQmSl8XqReiTF5PP0dln96jJ3dtn1ohknLtcxUmmYcBoqdqCK0MQb0dh-qnQsHy8AehdmjMHsUZs_Chs7DqVMh4j9vjFJKa_EHy-5mTg</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Neethu Mohan, M. C.</creator><creator>Paul, Binu</creator><creator>Rakesh, V.</creator><creator>Rebello, Rejoy</creator><creator>Mohanan, P.</creator><creator>Abhilash, S.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-3431-6033</orcidid><orcidid>https://orcid.org/0000-0003-3573-2036</orcidid><orcidid>https://orcid.org/0000-0002-3834-8737</orcidid><orcidid>https://orcid.org/0000-0003-2079-6184</orcidid></search><sort><creationdate>2022</creationdate><title>EMD-Based Intermittent and Ground Clutter Removal in Radar Windprofilers</title><author>Neethu Mohan, M. C. ; Paul, Binu ; Rakesh, V. ; Rebello, Rejoy ; Mohanan, P. ; Abhilash, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c245t-434b7e2391fa7e4544e802d7a14e50b02efa505edef92e31bf7440389cfbc6f53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Amplitude</topic><topic>Amplitudes</topic><topic>Auto regressive (AR) process</topic><topic>Clutter</topic><topic>Doppler effect</topic><topic>Echoes</topic><topic>Empirical analysis</topic><topic>Empirical mode decomposition</topic><topic>empirical mode decomposition (EMD)</topic><topic>Entropy</topic><topic>Frequency dependence</topic><topic>Frequency modulation</topic><topic>Helicopters</topic><topic>Identification</topic><topic>Indexes</topic><topic>Maximum entropy</topic><topic>Maximum entropy spectral analysis</topic><topic>maximum entropy spectral analysis (MESA)</topic><topic>Radar</topic><topic>Radar clutter</topic><topic>Removal</topic><topic>Signal reconstruction</topic><topic>Spectral analysis</topic><topic>Spectrum analysis</topic><topic>wavelet thresholding</topic><topic>windprofiler</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Neethu Mohan, M. C.</creatorcontrib><creatorcontrib>Paul, Binu</creatorcontrib><creatorcontrib>Rakesh, V.</creatorcontrib><creatorcontrib>Rebello, Rejoy</creatorcontrib><creatorcontrib>Mohanan, P.</creatorcontrib><creatorcontrib>Abhilash, S.</creatorcontrib><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>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on geoscience and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Neethu Mohan, M. C.</au><au>Paul, Binu</au><au>Rakesh, V.</au><au>Rebello, Rejoy</au><au>Mohanan, P.</au><au>Abhilash, S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>EMD-Based Intermittent and Ground Clutter Removal in Radar Windprofilers</atitle><jtitle>IEEE transactions on geoscience and remote sensing</jtitle><stitle>TGRS</stitle><date>2022</date><risdate>2022</risdate><volume>60</volume><spage>1</spage><epage>8</epage><pages>1-8</pages><issn>0196-2892</issn><eissn>1558-0644</eissn><coden>IGRSD2</coden><abstract><![CDATA[An empirical mode decomposition (EMD)-based intermittent and ground clutter removal algorithm for radar windprofilers is proposed. Intrinsic mode functions (IMFs) affected with intermittent clutter are identified and are separated into amplitude-modulated (AM) and frequency-modulated (FM) parts. The FM part is multiplied with the envelope of the nonamplitude-modulated signal derived from the original amplitude-modulated IMF to nullify the effect of intermittent clutter. The IMFs corresponding to ground clutter are identified from the maximum entropy spectral analysis (MESA) and are rejected prior to signal reconstruction in ground clutter removal. The proposed algorithm is applied on the radar returns of 205 MHz windprofiler at Advanced Centre for Atmospheric Radar Research (ACARR) of Cochin University of Science and Technology (CUSAT), Kochi, Kerala, India (<inline-formula> <tex-math notation="LaTeX">10.04^{\circ} \text{N} </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">76.33^{\circ} \text{E} </tex-math></inline-formula>). The windprofiler signals corrupted with flight and helicopter echoes are retrieved and the ground clutter signatures which were not removed with existing ground clutter removal methods are removed with the proposed algorithm.]]></abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TGRS.2022.3223386</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-3431-6033</orcidid><orcidid>https://orcid.org/0000-0003-3573-2036</orcidid><orcidid>https://orcid.org/0000-0002-3834-8737</orcidid><orcidid>https://orcid.org/0000-0003-2079-6184</orcidid></addata></record> |
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| subjects | Algorithms Amplitude Amplitudes Auto regressive (AR) process Clutter Doppler effect Echoes Empirical analysis Empirical mode decomposition empirical mode decomposition (EMD) Entropy Frequency dependence Frequency modulation Helicopters Identification Indexes Maximum entropy Maximum entropy spectral analysis maximum entropy spectral analysis (MESA) Radar Radar clutter Removal Signal reconstruction Spectral analysis Spectrum analysis wavelet thresholding windprofiler |
| title | EMD-Based Intermittent and Ground Clutter Removal in Radar Windprofilers |
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