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Company Information:

Company Name: Qunav LLC
City: Fort Walton Beach
State: FL
Zip+4: -
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Website URL: N/A
Phone: N/A

Award Totals:

Program/Phase Award Amount ($) Number of Awards
SBIR Phase I $629,797.00 5
SBIR Phase II $1,475,022.00 2

Award List:

Multi-Platform Signal Processing and Trajectory Estimation for Navigation in Difficult GPS Environments

Award Year / Program / Phase: 2011 / SBIR / Phase I
Agency: DOD
Principal Investigator: Andrey Soloviev, President – (740) 541-1529
Award Amount: $99,994.00
Abstract:
A common feature of existing methods for improving the GPS performance is the attempt to enhance signal processing and navigation estimation parts of a single receiver. At the same time, potential that is inherent to the integration of data from multiple receivers remains completely underutilized.… More

Multi-Element Anti-Jam Reconfigurable GPS Navigation Technology

Award Year / Program / Phase: 2012 / SBIR / Phase I
Agency: DOD
Principal Investigator: Andrey Soloviev, President – (740) 541-1529
Award Amount: $149,945.00
Abstract:
ABSTRACT: Qunav proposes to develop a Multi-element Anti-jam reconfigurable GPS Navigation Technology (MAGNT) that will enable state-of-the-art electronic protection (EP) by integrating space-time adaptive processing (STAP) into a signal processing part of a reconfigurable GPS receiver. MAGNT will… More

Integration of GPS, Inertial and SAR Data for GPS-Degraded Navigation

Award Year / Program / Phase: 2012 / SBIR / Phase I
Agency: DOD
Principal Investigator: Andrey Soloviev, President – (740) 541-1529
Award Amount: $149,962.00
Abstract:
ABSTRACT: Qunav proposes the development of GPS/INS/FeaTure-based SAR (GIFTS) integrated navigation architecture. The architecture exploits INS as a core sensor and applies GPS (when available) and SAR data to mitigate drift in inertial navigation outputs. Fusion of SAR and inertial data is… More

Multi-Platform Signal Processing and Trajectory Estimation for Navigation in Difficult GPS Environments

Award Year / Program / Phase: 2012 / SBIR / Phase II
Agency: DOD
Principal Investigator: Andrey Soloviev, President – (740) 541-1529
Award Amount: $749,897.00
Abstract:
ABSTRACT: The proposed Phase II effort will develop algorithms and methods of the multi-platform receiver technology and will demonstrate their performance in a real-time brassboard prototype. The MUlti-platform Signal and Trajectory Estimation Receiver (MUSTER) has been developed to enable: 1)… More

Integration of GPS, Inertial and SAR Data for GPS-Degraded Navigation

Award Year / Program / Phase: 2013 / SBIR / Phase II
Agency: DOD
Principal Investigator: Andrey Soloviev, President – (740) 541-1529
Award Amount: $725,125.00
Abstract:
ABSTRACT: Qunav proposes the development of GPS/INS/FeaTure-based SAR (GIFTS) navigation architecture in order to enable accurate navigation in GPS-challenged and GPS-denied environments. The architecture exploits INS as a core sensor and applies SAR measurements to mitigate inertial drift. Fusion… More

Assured Vision Geo-location with Precise Characterization of Errors

Award Year / Program / Phase: 2013 / SBIR / Phase I
Agency / Branch: DOD / USAF
Principal Investigator: Andrey Soloviev, President – (740) 541-1529
Award Amount: $149,931.00
Abstract:
ABSTRACT: Qunav proposes the development of an assured vision geo-location (AVG) framework that supports accurate geo-registration and navigation while precisely characterizing their uncertainties. The framework adopts a multi-pose constrained estimation (MPCE) approach that ensures correct… More

Deeply Integrated GPS/INS Navigation System

Award Year / Program / Phase: 2014 / SBIR / Phase I
Agency / Branch: DOD / NAVY
Principal Investigator: Andrey Soloviev, President – (740) 541-1529
Award Amount: $79,965.00
Abstract:
Qunav and its subcontractor, Northrop Grumman Electronic Systems (NGES), propose to prototype and transition a deeply integrated GPS/INS navigation (DIGINAV) system in support of the Navy Warfighter. DIGINAV is based on three technological innovations: (i) deep integration with mutual GPS/INS… More