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Signal Processing for a Southern Border Surveillance System

Award Information
Agency: Department of Homeland Security
Branch: N/A
Contract: NBCH060118
Agency Tracking Number: 611113
Amount: $99,950.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2006
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
10070 Barnes Canyon Road
San Diego, CA 92121
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 David Kirk
 Principal Engineer
 (703) 448-1116
 drk@isl-inc.com
Business Contact
 Tom Teters
Title: Director of Business Development
Phone: (850) 373-2724
Email: dkirk@islinc.com
Research Institution
N/A
Abstract

There is a vital need to secure the long southern border of the United States, much of its length passing through rural and desolate areas. This can be achieved using a fixed land-based sensor network to detect people and vehicles crossing the border. ISL and DMT have identified a system architecture which makes a southern border security system achievable at an affordable price. A surveillance system based on a ground-moving target indicator (GMTI) radar system designed to detect slow-moving, low radar cross section (RCS) targets and an electro-optical (EO)/infra-red (IR) camera can provide the coverage, update time, all weather performance, and cost effectiveness to make a border surveillance system practical. The key to making the surveillance system effective, and the focus of this effort, is to develop signal processing algorithms to achieve a high probability of detection on small, slow moving targets, such as walking people, in a high clutter environment while maintaining a very low false alarm rate. During Phase I, ISL and DMT will investigate an innovative approach to incorporate the knowledge of the surrounding terrain, wind-blown clutter, sensor fusion, and target tracking to achieve a high detection probability and minimize the false alarm rate.

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

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