An Improved Detecting Algorithm of Moving Targets for Airborne Maritime Surveillance Radar
The traditional method is capable of detecting and tracking stationary and slow-moving targets in a sea surface environment. However, the signal focusing capability of such a method could be greatly reduced especially for those variable-speed targets. To solve this problem, a novel tracking algorith...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/2/560 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832587514462863360 |
|---|---|
| author | Zhefeng Wu Gang Zhang Xinchun Wang Peng Sun Yanchao Lin |
| author_facet | Zhefeng Wu Gang Zhang Xinchun Wang Peng Sun Yanchao Lin |
| author_sort | Zhefeng Wu |
| collection | DOAJ |
| description | The traditional method is capable of detecting and tracking stationary and slow-moving targets in a sea surface environment. However, the signal focusing capability of such a method could be greatly reduced especially for those variable-speed targets. To solve this problem, a novel tracking algorithm combining range envelope alignment and azimuth phase filtering is proposed. In this method, the motion of the airborne maritime surveillance radar platform is firstly compensated for target echoes. Secondly, range envelope alignment is performed to correct the unpredictable range migration of the target after pulse compression. The higher-order phase difference between the adjacent pulses is estimated and compensated. Ultimately, such pulse series are accumulated through azimuth Fourier transform. Traditional methods compensate only for platform motion, limiting their ability to handle variable-speed targets. The proposed algorithm addresses this limitation by compensating for both platform and target motion, significantly improving signal focusing and tracking accuracy. A detailed analysis shows that our algorithm can significantly increase the signal accumulating gain and improve the focusing effect. The simulation results are provided to demonstrate the effectiveness of the proposed algorithm. |
| format | Article |
| id | doaj-art-9d50927b6ceb4ca1bc757ef0860cec06 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-9d50927b6ceb4ca1bc757ef0860cec062025-01-24T13:49:20ZengMDPI AGSensors1424-82202025-01-0125256010.3390/s25020560An Improved Detecting Algorithm of Moving Targets for Airborne Maritime Surveillance RadarZhefeng Wu0Gang Zhang1Xinchun Wang2Peng Sun3Yanchao Lin4Beijing Aerospace Automatic Control Institute, Beijing 100854, ChinaBeijing Aerospace Automatic Control Institute, Beijing 100854, ChinaBeijing Aerospace Automatic Control Institute, Beijing 100854, ChinaBeijing Aerospace Automatic Control Institute, Beijing 100854, ChinaBeijing Aerospace Automatic Control Institute, Beijing 100854, ChinaThe traditional method is capable of detecting and tracking stationary and slow-moving targets in a sea surface environment. However, the signal focusing capability of such a method could be greatly reduced especially for those variable-speed targets. To solve this problem, a novel tracking algorithm combining range envelope alignment and azimuth phase filtering is proposed. In this method, the motion of the airborne maritime surveillance radar platform is firstly compensated for target echoes. Secondly, range envelope alignment is performed to correct the unpredictable range migration of the target after pulse compression. The higher-order phase difference between the adjacent pulses is estimated and compensated. Ultimately, such pulse series are accumulated through azimuth Fourier transform. Traditional methods compensate only for platform motion, limiting their ability to handle variable-speed targets. The proposed algorithm addresses this limitation by compensating for both platform and target motion, significantly improving signal focusing and tracking accuracy. A detailed analysis shows that our algorithm can significantly increase the signal accumulating gain and improve the focusing effect. The simulation results are provided to demonstrate the effectiveness of the proposed algorithm.https://www.mdpi.com/1424-8220/25/2/560target trackingenvelope alignmentphase filteringmaritime surveillance radar |
| spellingShingle | Zhefeng Wu Gang Zhang Xinchun Wang Peng Sun Yanchao Lin An Improved Detecting Algorithm of Moving Targets for Airborne Maritime Surveillance Radar Sensors target tracking envelope alignment phase filtering maritime surveillance radar |
| title | An Improved Detecting Algorithm of Moving Targets for Airborne Maritime Surveillance Radar |
| title_full | An Improved Detecting Algorithm of Moving Targets for Airborne Maritime Surveillance Radar |
| title_fullStr | An Improved Detecting Algorithm of Moving Targets for Airborne Maritime Surveillance Radar |
| title_full_unstemmed | An Improved Detecting Algorithm of Moving Targets for Airborne Maritime Surveillance Radar |
| title_short | An Improved Detecting Algorithm of Moving Targets for Airborne Maritime Surveillance Radar |
| title_sort | improved detecting algorithm of moving targets for airborne maritime surveillance radar |
| topic | target tracking envelope alignment phase filtering maritime surveillance radar |
| url | https://www.mdpi.com/1424-8220/25/2/560 |
| work_keys_str_mv | AT zhefengwu animproveddetectingalgorithmofmovingtargetsforairbornemaritimesurveillanceradar AT gangzhang animproveddetectingalgorithmofmovingtargetsforairbornemaritimesurveillanceradar AT xinchunwang animproveddetectingalgorithmofmovingtargetsforairbornemaritimesurveillanceradar AT pengsun animproveddetectingalgorithmofmovingtargetsforairbornemaritimesurveillanceradar AT yanchaolin animproveddetectingalgorithmofmovingtargetsforairbornemaritimesurveillanceradar AT zhefengwu improveddetectingalgorithmofmovingtargetsforairbornemaritimesurveillanceradar AT gangzhang improveddetectingalgorithmofmovingtargetsforairbornemaritimesurveillanceradar AT xinchunwang improveddetectingalgorithmofmovingtargetsforairbornemaritimesurveillanceradar AT pengsun improveddetectingalgorithmofmovingtargetsforairbornemaritimesurveillanceradar AT yanchaolin improveddetectingalgorithmofmovingtargetsforairbornemaritimesurveillanceradar |