http://10.10.120.238:8080/xmlui/handle/123456789/108
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ali M. | en_US |
dc.contributor.author | Nathwani K. | en_US |
dc.date.accessioned | 2023-11-30T07:31:15Z | - |
dc.date.available | 2023-11-30T07:31:15Z | - |
dc.date.issued | 2022 | - |
dc.identifier.isbn | 978-1665483483 | - |
dc.identifier.other | EID(2-s2.0-85139591386) | - |
dc.identifier.uri | https://dx.doi.org/10.1109/SSPD54131.2022.9896193 | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/108 | - |
dc.description.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. © 2022 IEEE. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.source | 2022 Sensor Signal Processing for Defence Conference, SSPD 2022 - Proceedings | en_US |
dc.subject | Capon-MUSIC | en_US |
dc.subject | high resolution | en_US |
dc.subject | power difference | en_US |
dc.subject | ℓ 1-SVD | en_US |
dc.title | High Resolution DOA Estimation for Contiguous Target with Large Power Difference | en_US |
dc.type | Conference Paper | en_US |
Appears in Collections: | Conference Paper |
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