PADF RF localization criteria for multimodel scattering environments

Gates, Miguel; Barber, Christopher; Šelmić, Rastko R.; Al_Issa, Huthaifa Ahmad; Ordóñez, Raúl; Mitra, Atindra K.

doi:10.1117/12.879760

Cited by 2 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These initial trends in RF-measurement-based PLE scattering metrics for multi-platform cooperative robotic control with a focus on radar and RF direction finding applications will be investigated in more detail both at an analytical and experimental level in follow-up investigations and respective correspondence. In particular, localization errors associated with this data set are relatively large in comparison to localization errors collected under a analogous geometry with a movable sensor stand [6] instead of the moving Qball. Additional details with regard to potential sources and mitigation techniques for these type of relatively large platform-dependent errors will be reported in future correspondence.…”

Section: Results and Scope For Future Researchmentioning

confidence: 96%

“…In this section, we provide a discussion and analysis results from a sample of set of recent position-adaptive direction finding (PADF) [1] [2] [6] experiments collected with three stationary sensor stands and one moving Qball platform as depicted in Figure 7. As outlined in the previous sections, the flavor of this investigation is towards the development of intelligent cooperative multiplatform position-adaptive (robotics) integrated sensor/platform development via the leveraging of very low-cost technologies.…”

Section: Results and Scope For Future Researchmentioning

confidence: 99%

“…Results obtained from [6], serve as the foundation for the PADF experiment described in this paper. Three static nodes, one mobile node, and one hidden emitter node were used during the experiment.…”

Section: Methodsmentioning

confidence: 98%

See 2 more Smart Citations

PADF RF localization experiments with multi-agent caged-MAV platforms

et al. 2011

Self Cite

View full text Add to dashboard Cite

This paper provides a summary of preliminary RF direction finding results generated within an AFOSR funded testbed facility recently developed at Louisiana Tech University. This facility, denoted as the Louisiana Tech University MicroAerial Vehicle/Wireless Sensor Network (MAVSeN) Laboratory, has recently acquired a number of state-of-the-art MAV platforms that enable us to analyze, design, and test some of our recent results in the area of multiplatform position-adaptive direction finding (PADF) [1] [2] for localization of RF emitters in challenging embedded multipath environments. Discussions within the segmented sections of this paper include a description of the MAVSeN Laboratory and the preliminary results from the implementation of mobile platforms with the PADF algorithm. This novel approach to multi-platform RF direction finding is based on the investigation of iterative path-loss based (i.e. path loss exponent) metrics estimates that are measured across multiple platforms in order to develop a control law that robotically/intelligently positionally adapt (i.e. self-adjust) the location of each distributed/cooperative platform. The body of this paper provides a summary of our recent results on PADF and includes a discussion on state-of-the-art Sensor Mote Technologies as applied towards the development of sensor-integrated caged-MAV platform for PADF applications. Also, a discussion of recent experimental results that incorporate sample approaches to real-time singleplatform data pruning is included as part of a discussion on potential approaches to refining a basic PADF technique in order to integrate and perform distributed self-sensitivity and self-consistency analysis as part of a PADF technique with distributed robotic/intelligent features. These techniques are extracted in analytical form from a parallel study denoted as "PADF RF Localization Criteria for Multi-Model Scattering Environments". The focus here is on developing and reporting specific approaches to self-sensitivity and self-consistency within this experimental PADF framework via the exploitation of specific single-agent caged-MAV trajectories that are unique to this experiment set.

show abstract

Section: Results and Scope For Future Researchmentioning

confidence: 96%

Section: Results and Scope For Future Researchmentioning

confidence: 99%

See 1 more Smart Citation

PADF RF localization experiments with multi-agent caged-MAV platforms

et al. 2011

Self Cite

View full text Add to dashboard Cite

show abstract

“…Figure 11 shows the process of delivering medicines. The robot moves through four DC-motors connected to the h-bridge and the movement is controlled by Blynk application [25].…”

Section: Delivers Medicinesmentioning

confidence: 99%

Internet of things-based robot to take care of the Coronavirus patients and sterilize quarantine rooms

Al_Issa

Trrad²

2022

IJEECS

View full text Add to dashboard Cite

The medical <span>staff is the first part which is affected in the COVID-19 pandemic, then the workers, whether in the hospital or quarantine hotels who are responsible for cleanliness and sterilization. The goal is to reduce the number of injured and preserve human safety. This led us to think deeply to solve this problem and make the life healthier and to reduce the spread of the virus by using internet of things (IoT). The goal of the research is to develop a special robot to sterilize quarantine rooms and hospitals, measure the patient’s temperature and heart rate, in addition to transporting medicines to patients in order to preserve the safety of the medical staff. So, in order to accomplish this purpose, we will create a proof of concept for the robot. Our robot will have a system capable of performing pre-programmed acts, either under direct human control or under the control of computer programs. This paper can be the basic for future research in the same field.</span>

show abstract

PADF RF localization criteria for multimodel scattering environments

Cited by 2 publications

References 15 publications

PADF RF localization experiments with multi-agent caged-MAV platforms

PADF RF localization experiments with multi-agent caged-MAV platforms

Internet of things-based robot to take care of the Coronavirus patients and sterilize quarantine rooms

Contact Info

Product

Resources

About