Chad A. Stelzig,Grant Lipelt General Dynamics C4 Systems (United States) Sharon Minor Army Night Vision and Electronic Sensors Directorate (United States)
Effective management of sensor collaboration is crucial to the success of any distributed unattended ground sensor
(UGS) system. A successful management scheme must allow nodes to share enough information to form and maintain
tracks while minimizing unnecessary or excessive collaboration. Systems developed with the traditional unidirectional
or request/response models are typically susceptible to excessive collaboration in the presence of a persistent loud sound
source. The work presented in this paper addresses the challenge of suppressing excessive sensor collaboration in the
presence of loud targets. The Loud Target Suppression (LTS) algorithm utilizes Voronoi tessellation as a means to
allow sensor nodes to autonomously determine alert regions that support track formation with neighboring nodes. By
replying only with sensor measurements that fall within the alert regions, the LTS algorithm is able to significantly
reduce message quantities without impacting track accuracy. This paper will demonstrate that an alert-based sensor
collaboration scheme, employed by Distributed Cluster Management (DCM), greatly reduces sensor collaboration in the
presence of loud targets which results in a more scalable system.
Chad A. Stelzig,
Grant Lipelt,
Sharon Minor,
"Loud target suppression: an innovative approach to reduce excessive
sensor collaboration in distributed UGS systems", Proc. SPIE 6562, Unattended Ground, Sea, and Air Sensor Technologies and Applications IX, 65620M (11 May 2007); doi: 10.1117/12.719277; https://doi.org/10.1117/12.719277
Chad A. Stelzig, Grant Lipelt, Sharon Minor, "Loud target suppression: an innovative approach to reduce excessive
sensor collaboration in distributed UGS systems," Proc. SPIE 6562, Unattended Ground, Sea, and Air Sensor Technologies and Applications IX, 65620M (11 May 2007);