M. Saadat, Sanjib Sur, Srihari Nelakuditi, P. Ramanathan
{"title":"MilliCam:手持毫米波成像","authors":"M. Saadat, Sanjib Sur, Srihari Nelakuditi, P. Ramanathan","doi":"10.1109/ICCCN49398.2020.9209710","DOIUrl":null,"url":null,"abstract":"We present MilliCam, a system that captures the shape of small metallic objects, such as a gun, through obstructions, like clothing. MilliCam builds on the millimeter-wave (mmWave) imaging systems, which are widely used today in airport security checkpoints. Existing systems achieve high-resolution using a Synthetic Aperture Radar (SAR) principle, but require bulky motion controllers to position the mmWave device precisely. In contrast, MilliCam emulates the SAR principle by pure hand-swiping. However, alias-free, high-resolution imaging requires a linear, error-free hand-swiping motion. Furthermore, image focusing on an object of interest requires steering perfectly-shaped beam over the target-scene; but it is unavailable in off-the-shelf devices. We design a set of algorithms to enable high-quality handheld imaging: compensating for the errors in hand-swipe motion; and focusing the target-scene digitally without beam-steer. We have prototyped MilliCam on a 60 GHz testbed. Our experiments demonstrate that MilliCam can effectively combat motion errors and focus on the object in target-scene.","PeriodicalId":137835,"journal":{"name":"2020 29th International Conference on Computer Communications and Networks (ICCCN)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"MilliCam: Hand-held Millimeter-Wave Imaging\",\"authors\":\"M. Saadat, Sanjib Sur, Srihari Nelakuditi, P. Ramanathan\",\"doi\":\"10.1109/ICCCN49398.2020.9209710\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present MilliCam, a system that captures the shape of small metallic objects, such as a gun, through obstructions, like clothing. MilliCam builds on the millimeter-wave (mmWave) imaging systems, which are widely used today in airport security checkpoints. Existing systems achieve high-resolution using a Synthetic Aperture Radar (SAR) principle, but require bulky motion controllers to position the mmWave device precisely. In contrast, MilliCam emulates the SAR principle by pure hand-swiping. However, alias-free, high-resolution imaging requires a linear, error-free hand-swiping motion. Furthermore, image focusing on an object of interest requires steering perfectly-shaped beam over the target-scene; but it is unavailable in off-the-shelf devices. We design a set of algorithms to enable high-quality handheld imaging: compensating for the errors in hand-swipe motion; and focusing the target-scene digitally without beam-steer. We have prototyped MilliCam on a 60 GHz testbed. Our experiments demonstrate that MilliCam can effectively combat motion errors and focus on the object in target-scene.\",\"PeriodicalId\":137835,\"journal\":{\"name\":\"2020 29th International Conference on Computer Communications and Networks (ICCCN)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 29th International Conference on Computer Communications and Networks (ICCCN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCN49398.2020.9209710\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 29th International Conference on Computer Communications and Networks (ICCCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCN49398.2020.9209710","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present MilliCam, a system that captures the shape of small metallic objects, such as a gun, through obstructions, like clothing. MilliCam builds on the millimeter-wave (mmWave) imaging systems, which are widely used today in airport security checkpoints. Existing systems achieve high-resolution using a Synthetic Aperture Radar (SAR) principle, but require bulky motion controllers to position the mmWave device precisely. In contrast, MilliCam emulates the SAR principle by pure hand-swiping. However, alias-free, high-resolution imaging requires a linear, error-free hand-swiping motion. Furthermore, image focusing on an object of interest requires steering perfectly-shaped beam over the target-scene; but it is unavailable in off-the-shelf devices. We design a set of algorithms to enable high-quality handheld imaging: compensating for the errors in hand-swipe motion; and focusing the target-scene digitally without beam-steer. We have prototyped MilliCam on a 60 GHz testbed. Our experiments demonstrate that MilliCam can effectively combat motion errors and focus on the object in target-scene.