NDLI: Toward aerial simultaneous target localization and obstacle estimation using RSSI observations

Content Provider	IEEE Xplore Digital Library
Author	Dehghan, S.M.M. Haidari, S. Mordi, H.
Copyright Year	2015
Description	Author affiliation: School of ECE, Control & Intell. Process. Center of Excellence, Univ. of Tehran, Tehran, Iran (Mordi, H.) \|\| Control & Intell. Process. Center of Excellence, Univ. of Tehran Malek Ashtar Univ. of Technol., Tehran, Iran (Dehghan, S.M.M.) \|\| Advaced Robotic & Intell. Syst. Lab., Univ. of Tehran, Tehran, Iran (Haidari, S.)
Abstract	This paper represents simultaneous estimation of an RF source location and the location and height of an obstacle between the RF source and a UAV using RSSI observations. The aim is to improve the localization of the RF source by estimating the location and height of the obstacle. The effect of the obstacle on signal strength attenuation, i.e. the diffraction loss, is the most important reason that affects the performance of distance estimation based on general or empirical path loss model. Consequently, by estimating the effect of obstacle on attenuation, it will be possible to improve the accuracy of distance estimation according to path loss models. The simultaneous estimation of radio source location and the specification of an existing obstacle are implemented using particle filter, due to the complexity and nonlinear nature of the equations related to the calculation of diffraction loss. The simulation results show an improved performance of suggested filter, compared to the basic case of not estimating the obstacle.
Starting Page	517
Ending Page	522
File Size	326447
Page Count	6
File Format	PDF
e-ISBN	9781467372343
DOI	10.1109/ICRoM.2015.7367837
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-07
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Estimation NLOS Receivers UAV Obstacle mapping Shadow mapping Radio frequency RF source Diffraction Signal diffraction Attenuation Localization Nonlinear optics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Aerial obstacle estimation using RSSI observations based on OHLOSS diffraction model

A geometrical approach for aerial cooperative obstacle mapping using RSSI observations

A new approach for Simultaneous Localization of UAV and RF Sources (SLUS)

A RF source localization and tracking system

mmWaves RSSI indoor network localization

Aerial localization of an RF source in NLOS condition

Fall detection using RF sensor networks

A Localization Algorithm for WSN Based on Characteristics of Power Attenuation

RF source localization using obstacles map and reflections

Toward aerial simultaneous target localization and obstacle estimation using RSSI observations

Similar Documents

Aerial obstacle estimation using RSSI observations based on OHLOSS diffraction model

A geometrical approach for aerial cooperative obstacle mapping using RSSI observations

A new approach for Simultaneous Localization of UAV and RF Sources (SLUS)

A RF source localization and tracking system

mmWaves RSSI indoor network localization

Aerial localization of an RF source in NLOS condition

Fall detection using RF sensor networks

A Localization Algorithm for WSN Based on Characteristics of Power Attenuation

RF source localization using obstacles map and reflections

Toward aerial simultaneous target localization and obstacle estimation using RSSI observations