A Single-Dataset-Based Pre-Processing Joint Domain Localized Algorithm for Clutter-Suppression in Shipborne High-Frequency Surface-Wave Radar
Due to the motion of the platform, the spectrum of first-order sea clutter will widen and mask low-velocity targets such as ships in shipborne high-frequency surface-wave radar (HFSWR). Limited by the quantity of qualified training samples, the performance of the generally used clutter-suppression m...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-07-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/13/3773 |
| _version_ | 1797563211897110528 |
|---|---|
| author | Liang Guo Xin Zhang Di Yao Qiang Yang Yang Bai Weibo Deng |
| author_facet | Liang Guo Xin Zhang Di Yao Qiang Yang Yang Bai Weibo Deng |
| author_sort | Liang Guo |
| collection | DOAJ |
| description | Due to the motion of the platform, the spectrum of first-order sea clutter will widen and mask low-velocity targets such as ships in shipborne high-frequency surface-wave radar (HFSWR). Limited by the quantity of qualified training samples, the performance of the generally used clutter-suppression method, space–time adaptive processing (STAP) degrades in shipborne HFSWR. To deal with this problem, an innovative training sample acquisition method is proposed, in the area of joint domain localized (JDL) reduced-rank STAP. In this clutter-suppression method, based on a single range of cell data, the unscented transformation is introduced as a preprocessing step to obtain adequate homogeneous secondary data and roughly estimated clutter covariance matrix (CCM). The accurate CCM is calculated by integrating the approximate CCM of different range of cells. Compared with existing clutter-suppression algorithms for shipborne HFSWR, the proposed approach has a better signal-to-clutter-plus-noise ratio (SCNR) improvement tested by real data. |
| first_indexed | 2024-03-10T18:40:23Z |
| format | Article |
| id | doaj.art-39e8791de0b9401299b663628e73a29e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T18:40:23Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-39e8791de0b9401299b663628e73a29e2023-11-20T05:54:29ZengMDPI AGSensors1424-82202020-07-012013377310.3390/s20133773A Single-Dataset-Based Pre-Processing Joint Domain Localized Algorithm for Clutter-Suppression in Shipborne High-Frequency Surface-Wave RadarLiang Guo0Xin Zhang1Di Yao2Qiang Yang3Yang Bai4Weibo Deng5School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, ChinaKey Laboratory of Marine Environmental Monitoring and Information Processing, Ministry of Industry and Information Technology, Harbin 150001, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, ChinaDue to the motion of the platform, the spectrum of first-order sea clutter will widen and mask low-velocity targets such as ships in shipborne high-frequency surface-wave radar (HFSWR). Limited by the quantity of qualified training samples, the performance of the generally used clutter-suppression method, space–time adaptive processing (STAP) degrades in shipborne HFSWR. To deal with this problem, an innovative training sample acquisition method is proposed, in the area of joint domain localized (JDL) reduced-rank STAP. In this clutter-suppression method, based on a single range of cell data, the unscented transformation is introduced as a preprocessing step to obtain adequate homogeneous secondary data and roughly estimated clutter covariance matrix (CCM). The accurate CCM is calculated by integrating the approximate CCM of different range of cells. Compared with existing clutter-suppression algorithms for shipborne HFSWR, the proposed approach has a better signal-to-clutter-plus-noise ratio (SCNR) improvement tested by real data.https://www.mdpi.com/1424-8220/20/13/3773signal processingspace time adaptive processingclutter-suppression |
| spellingShingle | Liang Guo Xin Zhang Di Yao Qiang Yang Yang Bai Weibo Deng A Single-Dataset-Based Pre-Processing Joint Domain Localized Algorithm for Clutter-Suppression in Shipborne High-Frequency Surface-Wave Radar Sensors signal processing space time adaptive processing clutter-suppression |
| title | A Single-Dataset-Based Pre-Processing Joint Domain Localized Algorithm for Clutter-Suppression in Shipborne High-Frequency Surface-Wave Radar |
| title_full | A Single-Dataset-Based Pre-Processing Joint Domain Localized Algorithm for Clutter-Suppression in Shipborne High-Frequency Surface-Wave Radar |
| title_fullStr | A Single-Dataset-Based Pre-Processing Joint Domain Localized Algorithm for Clutter-Suppression in Shipborne High-Frequency Surface-Wave Radar |
| title_full_unstemmed | A Single-Dataset-Based Pre-Processing Joint Domain Localized Algorithm for Clutter-Suppression in Shipborne High-Frequency Surface-Wave Radar |
| title_short | A Single-Dataset-Based Pre-Processing Joint Domain Localized Algorithm for Clutter-Suppression in Shipborne High-Frequency Surface-Wave Radar |
| title_sort | single dataset based pre processing joint domain localized algorithm for clutter suppression in shipborne high frequency surface wave radar |
| topic | signal processing space time adaptive processing clutter-suppression |
| url | https://www.mdpi.com/1424-8220/20/13/3773 |
| work_keys_str_mv | AT liangguo asingledatasetbasedpreprocessingjointdomainlocalizedalgorithmforcluttersuppressioninshipbornehighfrequencysurfacewaveradar AT xinzhang asingledatasetbasedpreprocessingjointdomainlocalizedalgorithmforcluttersuppressioninshipbornehighfrequencysurfacewaveradar AT diyao asingledatasetbasedpreprocessingjointdomainlocalizedalgorithmforcluttersuppressioninshipbornehighfrequencysurfacewaveradar AT qiangyang asingledatasetbasedpreprocessingjointdomainlocalizedalgorithmforcluttersuppressioninshipbornehighfrequencysurfacewaveradar AT yangbai asingledatasetbasedpreprocessingjointdomainlocalizedalgorithmforcluttersuppressioninshipbornehighfrequencysurfacewaveradar AT weibodeng asingledatasetbasedpreprocessingjointdomainlocalizedalgorithmforcluttersuppressioninshipbornehighfrequencysurfacewaveradar AT liangguo singledatasetbasedpreprocessingjointdomainlocalizedalgorithmforcluttersuppressioninshipbornehighfrequencysurfacewaveradar AT xinzhang singledatasetbasedpreprocessingjointdomainlocalizedalgorithmforcluttersuppressioninshipbornehighfrequencysurfacewaveradar AT diyao singledatasetbasedpreprocessingjointdomainlocalizedalgorithmforcluttersuppressioninshipbornehighfrequencysurfacewaveradar AT qiangyang singledatasetbasedpreprocessingjointdomainlocalizedalgorithmforcluttersuppressioninshipbornehighfrequencysurfacewaveradar AT yangbai singledatasetbasedpreprocessingjointdomainlocalizedalgorithmforcluttersuppressioninshipbornehighfrequencysurfacewaveradar AT weibodeng singledatasetbasedpreprocessingjointdomainlocalizedalgorithmforcluttersuppressioninshipbornehighfrequencysurfacewaveradar |