Difference between revisions of "Radio Frequency Counter UAS System"

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(Created page with "Roadmap Creators: [https://www.linkedin.com/in/allisontsay/| Allison Tsay], [https://www.linkedin.com/in/conor-briggi/| Conor Briggi], [https://www.linkedin.com/in/johannesgalatsanosdueck/| Johannes Galatsanos] Time Stamp: 10 October 2024 =Radio Frequency Counter UAS System= ==Roadmap Overview== ==DSM Allocation== This would be related to the following existing roadmaps: ==Roadmap Model using OPM== ==Figures of Merit (FOM)== ===Battery Energy Density FO...")
 
 
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Roadmap Creators: [https://www.linkedin.com/in/allisontsay/| Allison Tsay], [https://www.linkedin.com/in/conor-briggi/| Conor Briggi], [https://www.linkedin.com/in/johannesgalatsanosdueck/| Johannes Galatsanos]  
Roadmap Creators:  
 
[https://www.linkedin.com/in/samyoungdale Sam Youngdale]
[https://www.linkedin.com/in/emerson-c Chris Emerson]
* [https://www.linkedin.com/in/jumpei-sakamoto-8a1b90294 Jumpei Sakamoto]


Time Stamp: 10 October 2024
Time Stamp: 10 October 2024
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==Roadmap Overview==
==Roadmap Overview==


Counter-Unmanned Aircraft Systems (C-UAS) are technologies developed to detect, track, and neutralize unmanned aerial vehicles (UAVs) in situations where they pose security threats. With the proliferation of drones around the world, C-UAS is essential to the future airspace security landscape. C-UAS are modular and interoperable with numerous platforms. Demonstrated technologies include radar, electro-optical/infrared, acoustic, and radio frequency sensors for drone detection, as well as communication signals jamming, cyber takeover, and directed energy applications (laser and electromagnetic) for drone mitigation. Due to the variety of C-UAS configurations, our roadmap focuses on radar detection and radio frequency (RF) jamming.


[[File:Detection_overview.jpg|frameless|600px]]
<br>
https://www.caci.com/cuas




==DSM Allocation==


This would be related to the following existing roadmaps:
==Roadmap Model using OPM==


==DSM Allocation==




==Figures of Merit (FOM)==
[[File:DSM_2RFC.png|frameless|1000px]]




The above 2RFC tree shows the relationship between some systems related to the Counter UAS system that uses radio frequency as for detection and defeat. This tree says that the Counter UAS system consists of the detection system (3RFD), defeat system (3RFJ), classification & tracking system (3CTS), and command and control system (3CCS). In addition, these subsystems require several components such as an RF antenna (4RFA), RF jammer (4RFJ), a processor for classification and tracking (4CTP), command center (4CMC), and so on. As this DSM shows, The DSM indicates that each component is coupled to function as an RF counter UAS system.


===Battery Energy Density FOM===


==Roadmap Model using OPM==


[[File:OPD_2RFC.jpg|frameless|800px]]


===Detection/Defeat Range FOMs===


[[File:OPL_2RFC.png|frameless|500px]]




==Alignment with Company Strategic Drivers==
==Figures of Merit (FOM)==
 
[[File:FOM Table_2RFC.PNG|frameless|1000px]]
 
 
===Focus Areas===
 
This technology has
 
===Strategic Drivers===
 
 
 
==Positioning of Company vs. Competition==
 
 
 
==Technical Model: Morphological Matrix and Tradespace==
 
 
==Financial Model==
 
 
 
'''Inputs & Assumptions:'''
 
 
'''Key Drivers for Costs / Revenues'''
 
 
'''NPV Scenario Analysis'''
 
 
==List of R&D Projects (incl. demonstrators)==
 
1.
 
 
==Key Publications and Patents==
 
===Patents:===
 
1.
 
===Papers:===
 
1.  
 
 
==Technology Strategy Statement (incl. Swoosh Chart)==


The table above summarizes a number of different Figures of Merit (FOM) for the C-UAS System. The complete system that detects and defeats will have similar FOMs on either side of the chain, and we've selected to focus on Detect as the key FOM. Detect ranges are one of the more widely publicly available data metrics for such systems. However, each entity may not utilize the same metrics for comparison. This study makes the assumption that detection range metrics from different suppliers are one-to-one.


[[File:FOM_table_2RFC.png|frameless|600px]]


Charting a range of C-UAS RF Systems from worldwide suppliers shows an increasing detection range versus time with a wide data spread.


==References==
[[File:FOM_graph_2RFC.png|frameless|500px]] 


1.
[[File:State_2RFC.png|frameless|500px]]

Latest revision as of 04:01, 10 October 2024

Roadmap Creators:

Time Stamp: 10 October 2024

Radio Frequency Counter UAS System

Roadmap Overview

Counter-Unmanned Aircraft Systems (C-UAS) are technologies developed to detect, track, and neutralize unmanned aerial vehicles (UAVs) in situations where they pose security threats. With the proliferation of drones around the world, C-UAS is essential to the future airspace security landscape. C-UAS are modular and interoperable with numerous platforms. Demonstrated technologies include radar, electro-optical/infrared, acoustic, and radio frequency sensors for drone detection, as well as communication signals jamming, cyber takeover, and directed energy applications (laser and electromagnetic) for drone mitigation. Due to the variety of C-UAS configurations, our roadmap focuses on radar detection and radio frequency (RF) jamming.

Detection overview.jpg
https://www.caci.com/cuas



DSM Allocation

DSM 2RFC.png


The above 2RFC tree shows the relationship between some systems related to the Counter UAS system that uses radio frequency as for detection and defeat. This tree says that the Counter UAS system consists of the detection system (3RFD), defeat system (3RFJ), classification & tracking system (3CTS), and command and control system (3CCS). In addition, these subsystems require several components such as an RF antenna (4RFA), RF jammer (4RFJ), a processor for classification and tracking (4CTP), command center (4CMC), and so on. As this DSM shows, The DSM indicates that each component is coupled to function as an RF counter UAS system.


Roadmap Model using OPM

OPD 2RFC.jpg


OPL 2RFC.png


Figures of Merit (FOM)

FOM Table 2RFC.PNG

The table above summarizes a number of different Figures of Merit (FOM) for the C-UAS System. The complete system that detects and defeats will have similar FOMs on either side of the chain, and we've selected to focus on Detect as the key FOM. Detect ranges are one of the more widely publicly available data metrics for such systems. However, each entity may not utilize the same metrics for comparison. This study makes the assumption that detection range metrics from different suppliers are one-to-one.

FOM table 2RFC.png

Charting a range of C-UAS RF Systems from worldwide suppliers shows an increasing detection range versus time with a wide data spread.

FOM graph 2RFC.png

State 2RFC.png