Multi-platform Multi-target GMTI Tracking with Out-of-sequence Measurements

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,000.00
Award Year:
2001
Program:
SBIR
Phase:
Phase I
Contract:
F33615-01-M-1919
Award Id:
52485
Agency Tracking Number:
011SN-0637
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
50 Mall Road, Burlington, MA, 01803
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
094841665
Principal Investigator:
Mahendra Mallick
Principal Engineer
(781) 273-3388
mahendra.mallick@alphatech.com
Business Contact:
Andrew Mullin
Gen Counsel & Dir of Cont
(781) 273-3388
andy.mullin@alphatech.com
Research Institution:
n/a
Abstract
Sensor platforms transmit data to a central tracker using communication networks in a multi-platform network-centric tracking system. Measurements can arrive out-of-sequence (OOS) at the central tracker due to varying data preprocessing times at theplatforms, delays in transmission initiation, and communication network execution. The central tracker can also receive data out-of-sequence from a single sensor, if the sensor operates in multiple modes such as wide area surveillance and sector searchmodes. Previous researchers have addressed the OOS measurement (OOSM) filtering problem for a single target with one kinematic model, when the OOSM lies between the last two measurements (one-lag problem). We have developed and tested a new algorithm forthe OOSM filtering problem, which handles multiple-lags using a single kinematic model. We propose to develop additional algorithms to handle multiple lags and multiple kinematic models. Previous efforts have used data reprocessing and buffering formulti-target multi-sensor tracking problems. These approaches are undesirable due to the high storage and CPU requirements. No algorithm exists at present that addresses the multi-target multi-sensor OOSM problem. We propose to develop new algorithmsfor data association and likelihood computations for OOSM multi-target multi-sensor tracking using our multiple-lag and multiple-model OOSM filtering algorithms.This research will benefit surveillance of the battlespace where out-of-sequence measurementscan occur due to the use of multiple platforms to obtain a coherent and integrated picture of the battlespace. This effort will directly benefit a number of government funded programs such as MPTE, AMSTE, CAESAR, and DDB where real data collection andresearch include out-of-sequence GMTI sensor measurements. Commercial applications of the research include air traffic surveillance, border surveillance by the Drug Enforcement Agency and the Immigration and Naturalization Service.

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government