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Integrated Multi-Sensor Life Detection System (IMLDS)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8649-21-P-0201
Agency Tracking Number: FX20D-TCSO1-0197
Amount: $149,813.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AFX20D-TCSO1
Solicitation Number: X20.D
Timeline
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2020-11-18
Award End Date (Contract End Date): 2021-05-18
Small Business Information
360 Herndon Parkway Suite 1400
Herndon, VA 20170-4865
United States
DUNS: 621477819
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Hossein Ghaffari Nik
 (706) 368-9036
 hnik@rheintech.com
Business Contact
 Kathy Grzovic
Title: kathygrzovic
Phone: (703) 230-2741
Email: kgrzovic@rheintech.com
Research Institution
 George Mason University
 Nathalia Peixoto
 
4400 University Drive
Fairfax, VA 22030-4422
United States

 (703) 993-1567
 Nonprofit college or university
Abstract

In Search and Rescue (SAR) operations, mere seconds can mean the difference between victim rescue and recovery. Our Integrated Multi-Sensor Life Detection System (IMLDS) for implementation on eVTOL/UAM significantly advances detection and assessment, accuracy and field of use, exceeding other available SAR technology.  It could lead the emerging eVTOL/UAM market for disaster response, humanitarian aid, and logistical missions. IMLDS combines a unique Radar sensor with a single pair of rotating transmitting and receiving antennas, with an advanced multi-sensor integration algorithm of active and passive sensors that utilizes changing antenna polarities with spatial antenna displacement. It detects and assesses victims and multi-targets through 3D localization, and no-contact Pulse and Respiration Rate Measurement (PRRM) through walls, rubble, and other obstacles.  Its autonomous deployment via eVTOL/UAM provides all-terrain coverage. This opportunity will facilitate Rhein Tech Laboratories' continued R&D to improve our understanding of: Radar mode selection and combination Antenna polarity effects on detection Phase and frequency shifts due to micro movements Sensor integration for improved accuracy Appropriate signal processing and algorithm optimization

* Information listed above is at the time of submission. *

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