Chen Ning, J. Tian, Shanling Zheng, Biao Zhang, W. Cui
{"title":"跨界目标鲁棒自适应脉冲压缩算法","authors":"Chen Ning, J. Tian, Shanling Zheng, Biao Zhang, W. Cui","doi":"10.1109/RadarConf2351548.2023.10149683","DOIUrl":null,"url":null,"abstract":"The existing iterative adaptive filtering algorithms based on the minimum mean square error (MMSE) criterion can effectively suppress range-Doppler sidelobes of targets and unveil targets in multi-target scenarios. However, these iterative adaptive filtering algorithms suffer from deteriorated performance in the presence of targets with range-Doppler-straddling when using linear frequency modulation (LFM) waveforms. To suppress sidelobes when straddling occurs, this paper presents a robust adaptive pulse compression algorithm based on straddling- robust self-calibration iterative adaptive filtering (SR-SCIAF). The received signal model considering range-Doppler-straddling effects are firstly established and then the SR-SCIAF algorithm is introduced based on the MMSE criterion. During the iterative processing, SR-SCIAF can reduce the modelling mismatch by estimating straddling offsets and compensating the corresponding phase mismatch. Simulation results demonstrate that SR- SCIAF provides good robustness against straddling effects and can effectively suppress range-Doppler sidelobes of targets with straddling in multi-target scenarios.","PeriodicalId":168311,"journal":{"name":"2023 IEEE Radar Conference (RadarConf23)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robust Adaptive Pulse Compression Algorithm for Targets with Straddling\",\"authors\":\"Chen Ning, J. Tian, Shanling Zheng, Biao Zhang, W. Cui\",\"doi\":\"10.1109/RadarConf2351548.2023.10149683\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The existing iterative adaptive filtering algorithms based on the minimum mean square error (MMSE) criterion can effectively suppress range-Doppler sidelobes of targets and unveil targets in multi-target scenarios. However, these iterative adaptive filtering algorithms suffer from deteriorated performance in the presence of targets with range-Doppler-straddling when using linear frequency modulation (LFM) waveforms. To suppress sidelobes when straddling occurs, this paper presents a robust adaptive pulse compression algorithm based on straddling- robust self-calibration iterative adaptive filtering (SR-SCIAF). The received signal model considering range-Doppler-straddling effects are firstly established and then the SR-SCIAF algorithm is introduced based on the MMSE criterion. During the iterative processing, SR-SCIAF can reduce the modelling mismatch by estimating straddling offsets and compensating the corresponding phase mismatch. Simulation results demonstrate that SR- SCIAF provides good robustness against straddling effects and can effectively suppress range-Doppler sidelobes of targets with straddling in multi-target scenarios.\",\"PeriodicalId\":168311,\"journal\":{\"name\":\"2023 IEEE Radar Conference (RadarConf23)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE Radar Conference (RadarConf23)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RadarConf2351548.2023.10149683\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Radar Conference (RadarConf23)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RadarConf2351548.2023.10149683","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robust Adaptive Pulse Compression Algorithm for Targets with Straddling
The existing iterative adaptive filtering algorithms based on the minimum mean square error (MMSE) criterion can effectively suppress range-Doppler sidelobes of targets and unveil targets in multi-target scenarios. However, these iterative adaptive filtering algorithms suffer from deteriorated performance in the presence of targets with range-Doppler-straddling when using linear frequency modulation (LFM) waveforms. To suppress sidelobes when straddling occurs, this paper presents a robust adaptive pulse compression algorithm based on straddling- robust self-calibration iterative adaptive filtering (SR-SCIAF). The received signal model considering range-Doppler-straddling effects are firstly established and then the SR-SCIAF algorithm is introduced based on the MMSE criterion. During the iterative processing, SR-SCIAF can reduce the modelling mismatch by estimating straddling offsets and compensating the corresponding phase mismatch. Simulation results demonstrate that SR- SCIAF provides good robustness against straddling effects and can effectively suppress range-Doppler sidelobes of targets with straddling in multi-target scenarios.
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