AIMP-Based Power Allocation for Radar Network Tracking Under Countermeasures Environment
For radar system tracking, a higher radar echo signal to interference and noise ratio (SINR) implies a higher tracking accuracy. However, in a countermeasures environment, increasing the transmit power of a radar may not lead to a higher SINR due to suppressive jamming. Also, the variation in the ta...
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MDPI AG
2025-05-01
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| Online Access: | https://www.mdpi.com/1424-8220/25/10/3163 |
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| author | Xiaoyou Xing Longxiao Xu Lvwan Nie Xueting Li |
| author_facet | Xiaoyou Xing Longxiao Xu Lvwan Nie Xueting Li |
| author_sort | Xiaoyou Xing |
| collection | DOAJ |
| description | For radar system tracking, a higher radar echo signal to interference and noise ratio (SINR) implies a higher tracking accuracy. However, in a countermeasures environment, increasing the transmit power of a radar may not lead to a higher SINR due to suppressive jamming. Also, the variation in the target radar cross-section (RCS) is an important factor affecting the SINR, since to achieve the same SINR value, a large RCS value needs less transmit power and a small RCS value needs more transmit power. Therefore, to design an efficient power allocation strategy, the influence of the electronic jamming and the target RCS need to be jointly considered. In this paper, we propose an adaptive interacting multiple power (AIMP)-based power allocation algorithm for radar network tracking by jointly considering the electronic jamming and the target RCS, achieving better anti-jamming capability and lower probability of intercept (LPI) while not reducing the tracking accuracy. Firstly, the model of the radar network tracking is established, and the power allocation problem is formulated. Next, the target RCS prediction algorithm is introduced, and the AIMP power allocation method is proposed jointly considering the electronic jamming and the impact of the target RCS. Finally, numerical simulations are performed to verify the validity and effectiveness of the proposals in this paper. |
| format | Article |
| id | doaj-art-d19abced82f2477285bc399707acdf8f |
| institution | OA Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-d19abced82f2477285bc399707acdf8f2025-08-20T02:33:58ZengMDPI AGSensors1424-82202025-05-012510316310.3390/s25103163AIMP-Based Power Allocation for Radar Network Tracking Under Countermeasures EnvironmentXiaoyou Xing0Longxiao Xu1Lvwan Nie2Xueting Li3School of Aeronautics and Astronautics, Sichuan University, Chengdu 610065, ChinaSchool of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Aeronautics and Astronautics, Sichuan University, Chengdu 610065, ChinaFor radar system tracking, a higher radar echo signal to interference and noise ratio (SINR) implies a higher tracking accuracy. However, in a countermeasures environment, increasing the transmit power of a radar may not lead to a higher SINR due to suppressive jamming. Also, the variation in the target radar cross-section (RCS) is an important factor affecting the SINR, since to achieve the same SINR value, a large RCS value needs less transmit power and a small RCS value needs more transmit power. Therefore, to design an efficient power allocation strategy, the influence of the electronic jamming and the target RCS need to be jointly considered. In this paper, we propose an adaptive interacting multiple power (AIMP)-based power allocation algorithm for radar network tracking by jointly considering the electronic jamming and the target RCS, achieving better anti-jamming capability and lower probability of intercept (LPI) while not reducing the tracking accuracy. Firstly, the model of the radar network tracking is established, and the power allocation problem is formulated. Next, the target RCS prediction algorithm is introduced, and the AIMP power allocation method is proposed jointly considering the electronic jamming and the impact of the target RCS. Finally, numerical simulations are performed to verify the validity and effectiveness of the proposals in this paper.https://www.mdpi.com/1424-8220/25/10/3163power allocationtarget RCSpulse interceptsuppressive jamming |
| spellingShingle | Xiaoyou Xing Longxiao Xu Lvwan Nie Xueting Li AIMP-Based Power Allocation for Radar Network Tracking Under Countermeasures Environment Sensors power allocation target RCS pulse intercept suppressive jamming |
| title | AIMP-Based Power Allocation for Radar Network Tracking Under Countermeasures Environment |
| title_full | AIMP-Based Power Allocation for Radar Network Tracking Under Countermeasures Environment |
| title_fullStr | AIMP-Based Power Allocation for Radar Network Tracking Under Countermeasures Environment |
| title_full_unstemmed | AIMP-Based Power Allocation for Radar Network Tracking Under Countermeasures Environment |
| title_short | AIMP-Based Power Allocation for Radar Network Tracking Under Countermeasures Environment |
| title_sort | aimp based power allocation for radar network tracking under countermeasures environment |
| topic | power allocation target RCS pulse intercept suppressive jamming |
| url | https://www.mdpi.com/1424-8220/25/10/3163 |
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