Low‐slow‐small target detection using stepped‐frequency signals in a strong folded clutter environment
Abstract The popularisation of unmanned aerial vehicles (UAVs) and the security threats that follow have made the detection of low‐slow‐small (LSS) targets a hotspot in the radar field. For ground‐based surveillance radars (GSR), the folded‐clutter is an important factor affecting LSS target detecti...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-09-01
|
| Series: | IET Radar, Sonar & Navigation |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/rsn2.12095 |
| _version_ | 1811273511987052544 |
|---|---|
| author | Jinpeng Guo Shaoqiang Chang Fawei Yang Jinjian Cai Quanhua Liu Teng Long |
| author_facet | Jinpeng Guo Shaoqiang Chang Fawei Yang Jinjian Cai Quanhua Liu Teng Long |
| author_sort | Jinpeng Guo |
| collection | DOAJ |
| description | Abstract The popularisation of unmanned aerial vehicles (UAVs) and the security threats that follow have made the detection of low‐slow‐small (LSS) targets a hotspot in the radar field. For ground‐based surveillance radars (GSR), the folded‐clutter is an important factor affecting LSS target detection performance. Herein, the stepped‐frequency (SF) signal is used to improve the performance of the folded‐clutter suppression and the LSS target detection for the GSR. Furthermore, an optimisation method for the SF signal parameter design is proposed to maximise the folded‐clutter improvement factor. Specifically, signal parameters including the frequency step number and the step sequence are optimised based on the clutter cognition results. To verify the effectiveness of the well‐designed SF signals in the LSS target detection, simulation experiments and field tests using an L‐band SF‐GSR and a DJI M600‐Pro UAV are conducted. Compared to the results achieved by a simple chirp signal, the detection probabilities of the LSS target with different velocities are significantly increased when the SF signals are used in a typical strong folded‐clutter background. |
| first_indexed | 2024-04-12T23:00:35Z |
| format | Article |
| id | doaj.art-c97facae11fd4459a2825e545661b294 |
| institution | Directory Open Access Journal |
| issn | 1751-8784 1751-8792 |
| language | English |
| last_indexed | 2024-04-12T23:00:35Z |
| publishDate | 2021-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Radar, Sonar & Navigation |
| spelling | doaj.art-c97facae11fd4459a2825e545661b2942022-12-22T03:13:04ZengWileyIET Radar, Sonar & Navigation1751-87841751-87922021-09-011591030104410.1049/rsn2.12095Low‐slow‐small target detection using stepped‐frequency signals in a strong folded clutter environmentJinpeng Guo0Shaoqiang Chang1Fawei Yang2Jinjian Cai3Quanhua Liu4Teng Long5Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing ChinaRadar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing ChinaRadar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing ChinaRadar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing ChinaRadar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing ChinaRadar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing ChinaAbstract The popularisation of unmanned aerial vehicles (UAVs) and the security threats that follow have made the detection of low‐slow‐small (LSS) targets a hotspot in the radar field. For ground‐based surveillance radars (GSR), the folded‐clutter is an important factor affecting LSS target detection performance. Herein, the stepped‐frequency (SF) signal is used to improve the performance of the folded‐clutter suppression and the LSS target detection for the GSR. Furthermore, an optimisation method for the SF signal parameter design is proposed to maximise the folded‐clutter improvement factor. Specifically, signal parameters including the frequency step number and the step sequence are optimised based on the clutter cognition results. To verify the effectiveness of the well‐designed SF signals in the LSS target detection, simulation experiments and field tests using an L‐band SF‐GSR and a DJI M600‐Pro UAV are conducted. Compared to the results achieved by a simple chirp signal, the detection probabilities of the LSS target with different velocities are significantly increased when the SF signals are used in a typical strong folded‐clutter background.https://doi.org/10.1049/rsn2.12095mobile robotsobject detectionradar clutterrobot visionautonomous aerial vehicles |
| spellingShingle | Jinpeng Guo Shaoqiang Chang Fawei Yang Jinjian Cai Quanhua Liu Teng Long Low‐slow‐small target detection using stepped‐frequency signals in a strong folded clutter environment IET Radar, Sonar & Navigation mobile robots object detection radar clutter robot vision autonomous aerial vehicles |
| title | Low‐slow‐small target detection using stepped‐frequency signals in a strong folded clutter environment |
| title_full | Low‐slow‐small target detection using stepped‐frequency signals in a strong folded clutter environment |
| title_fullStr | Low‐slow‐small target detection using stepped‐frequency signals in a strong folded clutter environment |
| title_full_unstemmed | Low‐slow‐small target detection using stepped‐frequency signals in a strong folded clutter environment |
| title_short | Low‐slow‐small target detection using stepped‐frequency signals in a strong folded clutter environment |
| title_sort | low slow small target detection using stepped frequency signals in a strong folded clutter environment |
| topic | mobile robots object detection radar clutter robot vision autonomous aerial vehicles |
| url | https://doi.org/10.1049/rsn2.12095 |
| work_keys_str_mv | AT jinpengguo lowslowsmalltargetdetectionusingsteppedfrequencysignalsinastrongfoldedclutterenvironment AT shaoqiangchang lowslowsmalltargetdetectionusingsteppedfrequencysignalsinastrongfoldedclutterenvironment AT faweiyang lowslowsmalltargetdetectionusingsteppedfrequencysignalsinastrongfoldedclutterenvironment AT jinjiancai lowslowsmalltargetdetectionusingsteppedfrequencysignalsinastrongfoldedclutterenvironment AT quanhualiu lowslowsmalltargetdetectionusingsteppedfrequencysignalsinastrongfoldedclutterenvironment AT tenglong lowslowsmalltargetdetectionusingsteppedfrequencysignalsinastrongfoldedclutterenvironment |