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Designing adaptive time resource management cost function for cognitive radar
Cognitive radars have the capability of adapting the transmitted waveform with the dynamic state of target and environment, to enhance the radar performance. In this study, a cost function is proposed for designing the waveform parameters in cognitive radars, along managing the radar time resources....
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Published in: | IET radar, sonar & navigation sonar & navigation, 2020-10, Vol.14 (10), p.1571-1582 |
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container_end_page | 1582 |
container_issue | 10 |
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container_title | IET radar, sonar & navigation |
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creator | Ghadian, Mohammad Fatemi Mofrad, Reza Abbasi Arand, Bijan |
description | Cognitive radars have the capability of adapting the transmitted waveform with the dynamic state of target and environment, to enhance the radar performance. In this study, a cost function is proposed for designing the waveform parameters in cognitive radars, along managing the radar time resources. The proposed cost function has the capability of adapting to any radar measurement vector. The purpose of the proposed cost function is to design the waveform parameters adaptively, so that a compromise between the different radar measurement errors is made. This compromise between the different radar measurement errors depends on the prior and posterior target state estimations. Both simulated target data and real target data are used for evaluating the proposed cost function. Also the performance of the proposed cost function is compared to the previously presented cost function. Simulation results indicate that by exploiting the proposed cost function, a great saving on time resources is achieved, while tracking error is kept stable. This time resource-saving lies within the range of 10% up to 50% depending on the target manoeuvre scenario. Also, in a non-time resource management case, an improvement in tracking error is achieved. |
doi_str_mv | 10.1049/iet-rsn.2020.0077 |
format | article |
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Also, in a non-time resource management case, an improvement in tracking error is achieved.</description><subject>cognitive radar</subject><subject>designing adaptive time resource management cost function</subject><subject>measurement errors</subject><subject>nontime resource management case</subject><subject>presented cost function</subject><subject>radar measurement errors</subject><subject>radar measurement vector</subject><subject>radar performance</subject><subject>radar time resources</subject><subject>radar tracking</subject><subject>Research Article</subject><subject>state estimation</subject><subject>target tracking</subject><subject>waveform parameters</subject><issn>1751-8784</issn><issn>1751-8792</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqF0N1OwyAYgGFiNHFOL8AzbqATWlrAM51OTaYm_hwTSj8alpUu0Gl291JnPNQjCPkeCC9C55TMKGHywsGQhehnOcnJjBDOD9CE8pJmgsv88Hcv2DE6iXFFSFlWTE7Q4w1E13rnW6wbvRncB-DBdYADxH4bDOBOe91CB37Apo8DtltvBtd7bPuQTpL9RiHxcIqOrF5HOPtZp-h9cfs2v8-Wz3cP86tlZgrORVYyWdDa1hUYZnJaAC2FLpu6yo1saE1tU1pSA2-4FFVRC9kAL7QlBoxk0jTFFNH9vSb0MQawahNcp8NOUaLGHir1UKmHGnuosUcyl3vz6daw-x-ol9en_HpBKGMi4WyPx7FVCuPT9_547AvNlXhh</recordid><startdate>202010</startdate><enddate>202010</enddate><creator>Ghadian, Mohammad</creator><creator>Fatemi Mofrad, Reza</creator><creator>Abbasi Arand, Bijan</creator><general>The Institution of Engineering and Technology</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>202010</creationdate><title>Designing adaptive time resource management cost function for cognitive radar</title><author>Ghadian, Mohammad ; Fatemi Mofrad, Reza ; Abbasi Arand, Bijan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3778-54931bfb6ec4c213e158a5db62c9d1b1fd5f0be7d79863b89de73af0cec949cd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>cognitive radar</topic><topic>designing adaptive time resource management cost function</topic><topic>measurement errors</topic><topic>nontime resource management case</topic><topic>presented cost function</topic><topic>radar measurement errors</topic><topic>radar measurement vector</topic><topic>radar performance</topic><topic>radar time resources</topic><topic>radar tracking</topic><topic>Research Article</topic><topic>state estimation</topic><topic>target tracking</topic><topic>waveform parameters</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ghadian, Mohammad</creatorcontrib><creatorcontrib>Fatemi Mofrad, Reza</creatorcontrib><creatorcontrib>Abbasi Arand, Bijan</creatorcontrib><collection>CrossRef</collection><jtitle>IET radar, sonar & navigation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ghadian, Mohammad</au><au>Fatemi Mofrad, Reza</au><au>Abbasi Arand, Bijan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Designing adaptive time resource management cost function for cognitive radar</atitle><jtitle>IET radar, sonar & navigation</jtitle><date>2020-10</date><risdate>2020</risdate><volume>14</volume><issue>10</issue><spage>1571</spage><epage>1582</epage><pages>1571-1582</pages><issn>1751-8784</issn><eissn>1751-8792</eissn><abstract>Cognitive radars have the capability of adapting the transmitted waveform with the dynamic state of target and environment, to enhance the radar performance. In this study, a cost function is proposed for designing the waveform parameters in cognitive radars, along managing the radar time resources. The proposed cost function has the capability of adapting to any radar measurement vector. The purpose of the proposed cost function is to design the waveform parameters adaptively, so that a compromise between the different radar measurement errors is made. This compromise between the different radar measurement errors depends on the prior and posterior target state estimations. Both simulated target data and real target data are used for evaluating the proposed cost function. Also the performance of the proposed cost function is compared to the previously presented cost function. Simulation results indicate that by exploiting the proposed cost function, a great saving on time resources is achieved, while tracking error is kept stable. This time resource-saving lies within the range of 10% up to 50% depending on the target manoeuvre scenario. 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subjects | cognitive radar designing adaptive time resource management cost function measurement errors nontime resource management case presented cost function radar measurement errors radar measurement vector radar performance radar time resources radar tracking Research Article state estimation target tracking waveform parameters |
title | Designing adaptive time resource management cost function for cognitive radar |
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