High-Quality Radar Pulse Signal Acquisition and Deinterleaving under a Low Signal-to-Noise Ratio with Multi-Layer Particle Swarm Optimization
Acquiring pulse signals of radar source is an essential component in implementing electronic support measures (ESM). The conventional signal detection or deinterleaving method are mainly applied in relatively simple environments. Currently, radar electronic reconnaissance signal processing capabilit...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/3/537 |
| _version_ | 1827354605314375680 |
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| author | Song Wei Yuyuan Fang Chao He Lei Zhang |
| author_facet | Song Wei Yuyuan Fang Chao He Lei Zhang |
| author_sort | Song Wei |
| collection | DOAJ |
| description | Acquiring pulse signals of radar source is an essential component in implementing electronic support measures (ESM). The conventional signal detection or deinterleaving method are mainly applied in relatively simple environments. Currently, radar electronic reconnaissance signal processing capability is severely constrained by poor signal-to-noise ratio (SNR) and the interleaving of signals from various radar sources. This research develops a multi-layer particle swarm optimization (PSO) pulse extraction and deinterleaving technique to improve ESM’s efficacy further. First, coherent accumulation of the received signals is performed using PSO to obtain higher SNR pulse. Second, the signals from this radar source are deinterleaved using the obtained pulse. Ultimately, the aforementioned procedures are combined into a multi-layer PSO architecture to capture radar source signals and deinterleaving them at low SNRs. The suggested algorithm’s efficacy and robustness are confirmed through simulation experiments. |
| first_indexed | 2024-03-08T03:50:08Z |
| format | Article |
| id | doaj.art-ba97e392d87749629244e052abd20fa8 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-08T03:50:08Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-ba97e392d87749629244e052abd20fa82024-02-09T15:21:25ZengMDPI AGRemote Sensing2072-42922024-01-0116353710.3390/rs16030537High-Quality Radar Pulse Signal Acquisition and Deinterleaving under a Low Signal-to-Noise Ratio with Multi-Layer Particle Swarm OptimizationSong Wei0Yuyuan Fang1Chao He2Lei Zhang3School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen Campus, Shenzhen 518107, ChinaSchool of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen Campus, Shenzhen 518107, ChinaSchool of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen Campus, Shenzhen 518107, ChinaSchool of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen Campus, Shenzhen 518107, ChinaAcquiring pulse signals of radar source is an essential component in implementing electronic support measures (ESM). The conventional signal detection or deinterleaving method are mainly applied in relatively simple environments. Currently, radar electronic reconnaissance signal processing capability is severely constrained by poor signal-to-noise ratio (SNR) and the interleaving of signals from various radar sources. This research develops a multi-layer particle swarm optimization (PSO) pulse extraction and deinterleaving technique to improve ESM’s efficacy further. First, coherent accumulation of the received signals is performed using PSO to obtain higher SNR pulse. Second, the signals from this radar source are deinterleaved using the obtained pulse. Ultimately, the aforementioned procedures are combined into a multi-layer PSO architecture to capture radar source signals and deinterleaving them at low SNRs. The suggested algorithm’s efficacy and robustness are confirmed through simulation experiments.https://www.mdpi.com/2072-4292/16/3/537electronic support measures (ESM)radar signal extractiondeinterleavinglow signal-to-noise ratio (SNR)multi-layer particle swarm optimization (PSO) |
| spellingShingle | Song Wei Yuyuan Fang Chao He Lei Zhang High-Quality Radar Pulse Signal Acquisition and Deinterleaving under a Low Signal-to-Noise Ratio with Multi-Layer Particle Swarm Optimization Remote Sensing electronic support measures (ESM) radar signal extraction deinterleaving low signal-to-noise ratio (SNR) multi-layer particle swarm optimization (PSO) |
| title | High-Quality Radar Pulse Signal Acquisition and Deinterleaving under a Low Signal-to-Noise Ratio with Multi-Layer Particle Swarm Optimization |
| title_full | High-Quality Radar Pulse Signal Acquisition and Deinterleaving under a Low Signal-to-Noise Ratio with Multi-Layer Particle Swarm Optimization |
| title_fullStr | High-Quality Radar Pulse Signal Acquisition and Deinterleaving under a Low Signal-to-Noise Ratio with Multi-Layer Particle Swarm Optimization |
| title_full_unstemmed | High-Quality Radar Pulse Signal Acquisition and Deinterleaving under a Low Signal-to-Noise Ratio with Multi-Layer Particle Swarm Optimization |
| title_short | High-Quality Radar Pulse Signal Acquisition and Deinterleaving under a Low Signal-to-Noise Ratio with Multi-Layer Particle Swarm Optimization |
| title_sort | high quality radar pulse signal acquisition and deinterleaving under a low signal to noise ratio with multi layer particle swarm optimization |
| topic | electronic support measures (ESM) radar signal extraction deinterleaving low signal-to-noise ratio (SNR) multi-layer particle swarm optimization (PSO) |
| url | https://www.mdpi.com/2072-4292/16/3/537 |
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