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Search Optimization for Multiple Airborne and Air-Deployed Sensors using the…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
69953
Program Year/Program:
2004 / SBIR
Agency Tracking Number:
N041-022-0564
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
PLANNING SYSTEMS, INC.
12030 Sunrise Valley Drive Suite 400, Reston Plaza Reston, VA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2004
Title: Search Optimization for Multiple Airborne and Air-Deployed Sensors using the Adaptive Simulated Annealing (ASA) Algorithm
Agency / Branch: DOD / NAVY
Contract: N68335-04-C-0143
Award Amount: $69,986.00
 

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.

Principal Investigator:

Peter D. Neumann
Principal Staff Member
5405525102
pneumann@plansys.com

Business Contact:

Marc Chazan
Director of Contracts
7037887759
mchazan@plansys.com
Small Business Information at Submission:

PLANNING SYSTEMS, INC.
12030 Sunrise Valley Dr, Suite 400, Reston Plaza I Reston, VA 20191

EIN/Tax ID: 520959900
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No