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Low complexity classification from a single unattended ground sensor node

Patent image
CCDC ARL

Disclosed are a system and method of multi-modality sensor data classification and fusion comprising partitioning data stored in a read only memory unit on a sensor node using a low query complexity boundary-decision classifier, applying an iterative two-dimensional nearest neighbor classifier to the partitioned data, forming a low query complexity classifier from a combination of the low query complexity boundary-decision classifier and the iterative two-dimensional nearest neighbor classifier, using the low query complexity classifier to identify classification parameters of the sensor node, and monitoring a network of spatially distributed sensor nodes based on the classification parameters of the sensor node. The boundary-decision classifier comprises a single low neuron count hidden layer and a single binary-decision output sensor node, or alternatively, the boundary-decision classifier comprises a linear classifier. Moreover, the network is a wireless unattended ground sensor network, and the data comprises signals transmitted by the sensor node.

Inventors: 
Flippen Jr., Luther D.
Patent Number: 
Technical domain: 
IT and Software
FIle Date: 
2004-09-23
Grant Date: 
2008-03-11
Grant time: 
1,265 days
Grant time percentile rank: 
23
Claim count percentile rank: 
7
Citations percentile rank: 
2
'Cited by' percentile rank: 
1
Assignee: 
US ARMY