Fusing Measurements from Wi-Fi Emission-Based and Passive Radar Sensors for Short-Range Surveillance
In this work, we consider the joint use of different passive sensors for the localization and tracking of human targets and small drones at short ranges, based on the parasitic exploitation of Wi-Fi signals. Two different sensors are considered in this paper: (i) Passive Bistatic Radar (PBR) that ex...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/18/3556 |
| _version_ | 1797517323172577280 |
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| author | Ileana Milani Carlo Bongioanni Fabiola Colone Pierfrancesco Lombardo |
| author_facet | Ileana Milani Carlo Bongioanni Fabiola Colone Pierfrancesco Lombardo |
| author_sort | Ileana Milani |
| collection | DOAJ |
| description | In this work, we consider the joint use of different passive sensors for the localization and tracking of human targets and small drones at short ranges, based on the parasitic exploitation of Wi-Fi signals. Two different sensors are considered in this paper: (i) Passive Bistatic Radar (PBR) that exploits the Wi-Fi Access Point (AP) as an illuminator of opportunity to perform uncooperative target detection and localization and (ii) Passive Source Location (PSL) that uses radio frequency (RF) transmissions from the target to passively localize it, assuming that it is equipped with Wi-Fi devices. First, we show that these techniques have complementary characteristics with respect to the considered surveillance applications that typically include targets with highly variable motion parameters. Therefore, an appropriate sensor fusion strategy is proposed, based on a modified version of the Interacting Multiple Model (IMM) tracking algorithm, in order to benefit from the information diversity provided by the two sensors. The performance of the proposed strategy is evaluated against both simulated and experimental data and compared to the performance of the single sensors. The results confirm that the joint exploitation of the considered sensors based on the proposed strategy largely improves the positioning accuracy, target motion recognition capability and continuity in target tracking. |
| first_indexed | 2024-03-10T07:15:04Z |
| format | Article |
| id | doaj.art-0b9d8d2cd10147dfa7185171133087d3 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T07:15:04Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-0b9d8d2cd10147dfa7185171133087d32023-11-22T15:04:48ZengMDPI AGRemote Sensing2072-42922021-09-011318355610.3390/rs13183556Fusing Measurements from Wi-Fi Emission-Based and Passive Radar Sensors for Short-Range SurveillanceIleana Milani0Carlo Bongioanni1Fabiola Colone2Pierfrancesco Lombardo3Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, ItalyDepartment of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, ItalyDepartment of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, ItalyDepartment of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, ItalyIn this work, we consider the joint use of different passive sensors for the localization and tracking of human targets and small drones at short ranges, based on the parasitic exploitation of Wi-Fi signals. Two different sensors are considered in this paper: (i) Passive Bistatic Radar (PBR) that exploits the Wi-Fi Access Point (AP) as an illuminator of opportunity to perform uncooperative target detection and localization and (ii) Passive Source Location (PSL) that uses radio frequency (RF) transmissions from the target to passively localize it, assuming that it is equipped with Wi-Fi devices. First, we show that these techniques have complementary characteristics with respect to the considered surveillance applications that typically include targets with highly variable motion parameters. Therefore, an appropriate sensor fusion strategy is proposed, based on a modified version of the Interacting Multiple Model (IMM) tracking algorithm, in order to benefit from the information diversity provided by the two sensors. The performance of the proposed strategy is evaluated against both simulated and experimental data and compared to the performance of the single sensors. The results confirm that the joint exploitation of the considered sensors based on the proposed strategy largely improves the positioning accuracy, target motion recognition capability and continuity in target tracking.https://www.mdpi.com/2072-4292/13/18/3556Wi-Fisensor fusionpassive bistatic radarpassive source locationpassive sensorsUAV surveillance |
| spellingShingle | Ileana Milani Carlo Bongioanni Fabiola Colone Pierfrancesco Lombardo Fusing Measurements from Wi-Fi Emission-Based and Passive Radar Sensors for Short-Range Surveillance Remote Sensing Wi-Fi sensor fusion passive bistatic radar passive source location passive sensors UAV surveillance |
| title | Fusing Measurements from Wi-Fi Emission-Based and Passive Radar Sensors for Short-Range Surveillance |
| title_full | Fusing Measurements from Wi-Fi Emission-Based and Passive Radar Sensors for Short-Range Surveillance |
| title_fullStr | Fusing Measurements from Wi-Fi Emission-Based and Passive Radar Sensors for Short-Range Surveillance |
| title_full_unstemmed | Fusing Measurements from Wi-Fi Emission-Based and Passive Radar Sensors for Short-Range Surveillance |
| title_short | Fusing Measurements from Wi-Fi Emission-Based and Passive Radar Sensors for Short-Range Surveillance |
| title_sort | fusing measurements from wi fi emission based and passive radar sensors for short range surveillance |
| topic | Wi-Fi sensor fusion passive bistatic radar passive source location passive sensors UAV surveillance |
| url | https://www.mdpi.com/2072-4292/13/18/3556 |
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