Space-Based Integrated Multi-Sensor System for CSO Discrimination and Identification (SBIMSS for CSODI)

Award Information
Department of Defense
Air Force
Award Year:
Phase II
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Advanced Systems & Technologies, Inc
23 Mauchly #109, Irvine, CA, -
Hubzone Owned:
Socially and Economically Disadvantaged:
Woman Owned:
Principal Investigator:
Vladimir Markov
President/Sr. Scientist
(949) 733-3355
Business Contact:
Debra Hadley
Dir. of Admin.&Finance
(949) 231-9404
Research Institution:

ABSTRACT: This proposal identifies the key system requirements for an integrated space-based multi-sensor space surveillance system capable of mission critical target-tracking, discrimination and identification (TDI) against closely spaced objects (CSO). In the proposed concept, a set of visible and IR spectrum sensors track CSOs and provide a prioritized location map for an active laser-tracking unit, which is then used to interrogate the CSO and extract information for discrimination and threat cloud detection (threat/non-threat). Multi-mode/modality images and CSO data can be presented at various signal levels to simulate a typical engagement timeline. Active detection technology will enable the system to operate in both day and night and for"dark pass"tracking of satellites through the Earth"s shadow, adding means for optical signal gating which can greatly enhance the signal-to-noise ratio for acquiring data. During Phase I we designed and integrated the proof of concept test bed to demonstrate TDI feasibility on targets that imitate CSO. Phase II activities will include extending the performance capabilities of the system, designing and building a brass board for verifying and optimizing predicted system performance, demonstrating and refining laboratory operation, and estimating the working envelope. BENEFIT: An important benefit of the proposed concept is the ability to leverage the capability of existing and advanced sensors by integrating their produced data to significantly improve the image information far beyond that produced by any single one. The most immediate application is for surveillance systems that employ multiple sensors. The technologies developed under this effort can be applied to various air and space surveillance systems against fast moving, closely-spaced airplanes, and missiles and space objects. In the commercial sector, this technology can be applied to air security and air-traffic control including proximity warning systems, collision avoidance, navigation systems and other areas where concurrent detection and discrimination of multiple objects is essential. Likewise, this novel approach should be extendable to commercial inspection systems that employ multiple sensors.

* information listed above is at the time of submission.

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