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Lightweight Infrared Search and Track Systems

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-16-M-1780
Agency Tracking Number: F161-135-1937
Amount: $148,732.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF161-135
Solicitation Number: 2016.1
Timeline
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-06-03
Award End Date (Contract End Date): 2017-03-03
Small Business Information
5385 Hollister Ave
Goleta, CA, CA 93111
United States
DUNS: 167202097
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 John Caulfield
 (805) 453-0582
 john@cyan-systems.com
Business Contact
 sarah Kreik
Phone: (805) 805-0582
Email: sarah@cyan-systems.com
Research Institution
N/A
Abstract

ABSTRACT: Cyan has developed a concept to develop a revolutionary improvement in HD IRST by utilizing the new generation of Small Pixel FPAs to reduces the optics while still maintaining sub 100 uRad class resolution for stand off detection of dim objects such as LO missiles and drones. Cyan Systems proposes a compact high definition IRST with small pixels to make possible advanced tracking error on both passive and active type sensing modalities. Cyans small pixel technology makes it possible to reduce the size of the optics dramatically while still providing dramatic resolution at longer ranges that existing larger pixel IRST technologies. Cyans key innovations allow a much smaller HD format array which results in a reduction in the size of the optic (IFOV = dpix/fl) so that the resolution improves with smaller pixels. At the same time the smaller sensor uses less detector materials and results in a size reduction in the sensor package as well as the optics.; BENEFIT: 1. High Definition, high resolution Digital IR Sensors for compact and lightweight WFOV IRST with better performance than current generation IRSTs.2. Increased NEP from small pixels, leading to increased detection range, reduced false alarms and better stand off ID and recognition range.3. Advanced real-time multi-target tracking with symbology and ability to track target deeper in clutter with small pixel pooling/correlation tracking.4. Improved circular error probability on fine tracking such as plume hard body aimpoint and related complex tracking of dim fast moving objects.Spatial and temporal oversampling to insure good well capacity and frame rates at the same time.5. Refined image processing algorithms that are both effective at detecting low observables suitable for implementation in compact FPGA and GPU processing modules6. Specification for both a prototype compact WFOV/Panoramic lens and compact optics.

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

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