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Multi-constellation, High sensitivity, Integrated LEO-PNT

Award Information
Agency: Department of Defense
Branch: Army
Contract: W56KGU-22-C-0016
Agency Tracking Number: A21C-T017-0163
Amount: $172,930.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A21C-T017
Solicitation Number: 21.C
Timeline
Solicitation Year: 2021
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-04-07
Award End Date (Contract End Date): 2022-10-07
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
 yang@qunav.com
Business Contact
 Andrey Soloviev
Phone: (740) 541-1529
Email: soloviev@qunav.com
Research Institution
 University of Colorado
 Melissa Clymer
 
Boulder
Boulder, CO 80309-8030
United States

 (303) 735-1131
 Nonprofit College or University
Abstract

QuNav teams up with University of Colorado Boulder (CU Boulder) and proposes to develop and demonstrate a prototype of Multi-constellation, High sensitivity, Integrated (MHI) LEO-PNT software defined radio (SDR) that can be used as a component in the context of the Army’s PNT Operating System (pntOS) to enable maximum application for dismounted Soldiers and Mounted vehicles. MHI-LEO-PNT will extract timing as well as carrier phase and frequency information from LEO waveforms by exploiting their features in modulations, multi-access schemes, and spread spectrum methods (CSS, DSSS, FHSS). The PNT accuracy will be enabled an integrated mechanization that utilizes a consumer-grade MEMS inertial to enable multipath mitigation (via adaptive residual screening), high-sensitivity processing (via extended signal accumulation), and precise Doppler positioning. Furthermore, MHI-LEO-PNT will take advantage of opportunistic motion constraints such as zero-velocity updates and straight displacement as additional observations for system self-calibration (including refinement of LEO orbit and clock estimation). Finally, the fusion algorithm of MHI-LEO-PNT will support cooperative PNT such that information is shared between units with two-way ranging via a tactical data link. As a group, more satellites from different constellations become visible, and a disadvantaged unit can benefit from networked units as anchors.

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

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