Untitled Document
Not a member yet? Register for full benefits!

Username
Password
 Network turns soldiers' helmets into sniper location system

This story is from the category Sensors
Printer Friendly Version
Email to a Friend (currently Down)

 

 

Date posted: 24/03/2009

Engineers at Vanderbilt University's Institute for Software Integrated Systems (ISIS) have developed a system that can give soldiers just such an edge by turning their combat helmets into "smart nodes" in a wireless sensor network.

ISIS developed this novel technology with the support of the Defense Advanced Research Project Agency and the university has patented two of the system's key elements.

Like several other shooter location systems developed in recent years, the ISIS system relies on the sound waves produced when a high-powered rifle is fired. These acoustic signals have distinctive characteristics that allow the systems to pick them out from other loud noises and track them back to their source. Current systems, however, rely on centralized or stand-alone sensor arrays. This limits their accuracy and restricts them to identifying shooters at line-of-sight locations.

By contrast, the ISIS system combines information from a number of nodes to triangulate on shooter positions and improve the accuracy of its location identification process. It also uses a patented technique to filter out the echoes that can throw off other acoustic detection systems, explains Akos Ledeczi, the senior research scientist at ISIS who heads up the development effort.

"When DARPA gave us the assignment of creating a shooter location system using nodes with very limited capabilities, they didn't think we could solve the technical problems," Ledeczi admits. "At first, I didn't think we could do it either, but we figured out how to make it work!"

See the full Story via external site: www.physorg.com



Most recent stories in this category (Sensors):

28/02/2017: DJI drones use plane avoidance tech

19/02/2017: Ford developing pothole alert system for drivers

08/02/2017: Pioneering chip extends sensors’ battery life

04/02/2017: Sensor Networks for Rangeland Animals

04/02/2017: Cardiff Uni bid to create osteoarthritis 'smart patch'

31/01/2017: Efficient time synchronization of sensor networks by means of time series analysis

12/01/2017: Uber to share data to help ease city congestion

23/12/2016: Electronic 'hairy skin' could give robots a more human sense of touch