{"title":"大功率差连续目标的高分辨率DOA估计","authors":"Murtiza Ali, K. Nathwani","doi":"10.1109/SSPD54131.2022.9896193","DOIUrl":null,"url":null,"abstract":"The Direction of arrival (DOA) for contiguous targets with a significant power difference, with fewer sensors and snapshots, is a challenging task. Our earlier work based on Modified Group delay-ℓ1-SVD [1] can correctly resolve contiguous targets with fewer sensors. The weights in Modified Group delay ℓ1-SVD were computed using the Hadamard product of MUSIC and Group delay (GD) weights. However, a significant power difference between the targets results in degraded performance. This is due to the incorrect MUSIC weights, which result in poor spatial resolution for contiguous targets with a significant power difference. Re-weighting the ℓ1-SVD with Capon-MUSIC and Capon-MUSIC GD weights helps estimate DOAs with a high spatial resolution at fewer sensors. Average-Root-Mean-Square-Error (ARMSE) and Resolution Probability are used to evaluate the performance of the proposed methods.","PeriodicalId":439007,"journal":{"name":"2022 Sensor Signal Processing for Defence Conference (SSPD)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"High Resolution DOA Estimation for Contiguous Target with Large Power Difference\",\"authors\":\"Murtiza Ali, K. Nathwani\",\"doi\":\"10.1109/SSPD54131.2022.9896193\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Direction of arrival (DOA) for contiguous targets with a significant power difference, with fewer sensors and snapshots, is a challenging task. Our earlier work based on Modified Group delay-ℓ1-SVD [1] can correctly resolve contiguous targets with fewer sensors. The weights in Modified Group delay ℓ1-SVD were computed using the Hadamard product of MUSIC and Group delay (GD) weights. However, a significant power difference between the targets results in degraded performance. This is due to the incorrect MUSIC weights, which result in poor spatial resolution for contiguous targets with a significant power difference. Re-weighting the ℓ1-SVD with Capon-MUSIC and Capon-MUSIC GD weights helps estimate DOAs with a high spatial resolution at fewer sensors. Average-Root-Mean-Square-Error (ARMSE) and Resolution Probability are used to evaluate the performance of the proposed methods.\",\"PeriodicalId\":439007,\"journal\":{\"name\":\"2022 Sensor Signal Processing for Defence Conference (SSPD)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Sensor Signal Processing for Defence Conference (SSPD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSPD54131.2022.9896193\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Sensor Signal Processing for Defence Conference (SSPD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSPD54131.2022.9896193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High Resolution DOA Estimation for Contiguous Target with Large Power Difference
The Direction of arrival (DOA) for contiguous targets with a significant power difference, with fewer sensors and snapshots, is a challenging task. Our earlier work based on Modified Group delay-ℓ1-SVD [1] can correctly resolve contiguous targets with fewer sensors. The weights in Modified Group delay ℓ1-SVD were computed using the Hadamard product of MUSIC and Group delay (GD) weights. However, a significant power difference between the targets results in degraded performance. This is due to the incorrect MUSIC weights, which result in poor spatial resolution for contiguous targets with a significant power difference. Re-weighting the ℓ1-SVD with Capon-MUSIC and Capon-MUSIC GD weights helps estimate DOAs with a high spatial resolution at fewer sensors. Average-Root-Mean-Square-Error (ARMSE) and Resolution Probability are used to evaluate the performance of the proposed methods.