Search Optimization for Multiple Airborne and Air-Deployed Sensors using the Adaptive Simulated Annealing (ASA) Algorithm

Award Information
Agency:
Department of Defense
Amount:
$69,986.00
Program:
SBIR
Contract:
N68335-04-C-0143
Solitcitation Year:
2004
Solicitation Number:
2004.1
Branch:
Navy
Award Year:
2004
Phase:
Phase I
Agency Tracking Number:
N041-022-0564
Solicitation Topic Code:
N04-022
Small Business Information
PLANNING SYSTEMS, INC.
12030 Sunrise Valley Dr, Suite 400, Reston Plaza I, Reston, VA, 20191
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
072651391
Principal Investigator
 Peter Neumann
 Principal Staff Member
 (540) 552-5102
 pneumann@plansys.com
Business Contact
 Marc Chazan
Title: Director of Contracts
Phone: (703) 788-7759
Email: mchazan@plansys.com
Research Institution
N/A
Abstract
The challenge presented in this SBIR topic is to create a tool that allows an operator to create near-optimal search plans for a given environment, suite of sensors and threat types. Sensor performance, often expressed in terms of a probability of detection, for each sensor type is predicted using the sensor's own tactical decision aid (TDA). This SBIR proposal does not recommend building additional TDAs for various sensors. The primary goals of the proposed work plan are the development of a technique to accurately sum the probabilities of detection from a heterogeneous set of sensors and the application of Adaptive Simulated Annealing (ASA) algorithm to solve the problem of determining near optimal search plans using a user selectable measure of effectiveness. A key strength of this approach is that it can be applied to both over-water and over-land searches. The approach uses the predictions of each sensor's TDA and therefore can be applied to both acoustic sensors and non-acoustic sensors (electromagnetic, electro-optic/infrared, radar and magnetic anomaly detection). The resulting product will generate near-optimal search plans to the mission planner for the predicted distribution of threats, the operating environment, suite of sensors available and user selected measure of effectiveness.

* information listed above is at the time of submission.

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