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GPS interference direction finding sensor for GIDI-UP

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-23-C-0202
Agency Tracking Number: N224-130-0013
Amount: $239,920.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N224-130
Solicitation Number: 22.4
Solicitation Year: 2022
Award Year: 2023
Award Start Date (Proposal Award Date): 2023-01-30
Award End Date (Contract End Date): 2024-02-20
Small Business Information
2 Park Circle SE, Unit B
Fort Walton Beach, FL 32548-1111
United States
DUNS: 013181424
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Chun Yang
 (650) 430-6267
Business Contact
 Andrey Soloviev
Phone: (740) 541-1529
Research Institution

QuNav proposes the development of a prototype of GPS interference direction finding sensor for surface and subsurface vessels to provide situational awareness of jamming and/or spoofing attacks in GPS Interference Direction of Arrival (DOA) Initiative for User Purposes (GIDI-UP). The hardware prototype will consist of five subsystems, namely, (i) an array configuration, (ii) a multi-channel SDR receiver based on USRP, (iii) an external clock and clock distribution system, (iv) a PC-based multi-channel data acquisition, storage, and processing system, and (v) a power supply system. The software prototype will adopt a cascaded pre/post-correlation signal-processing architecture to enable precise DOA estimation capability under coordinated jamming and spoofing attacks. The pre-correlation jamming detection, estimation, and suppression module performs jamming suppression by projecting the array output onto the jamming nullspace with jamming DOA estimation while preserving the spatial information. The post-correlation spoofing detection, estimation, and tracking module adopts a master-slave configuration for phase coherency with cross-nullspace projection to reduce the effect of correlation between spoofing and authentic signals. An innovative spatial-combining scheme can significantly improve the DOA estimation performance, while maintaining GPS acquisition and tracking under jamming and spoofing conditions. The system design approach addresses shipboard multipath, which can be detrimental to both positioning and angular estimation. It further incorporates a self-calibration procedure for the antenna array. Experimental data will be used in Phase I to develop enabling techniques and validate computational algorithms for Phase II embedded prototyping and demonstration.

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

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