Using Neural Networks for Extended Detection

Extended Detection (ED) has become required especially when protecting high valued assets. Physical Protection Systems (PPS) usually integrate Detection, Delay, and Response (DDR) elements in a manner to assess threats at well defined perimeters. Situational Awareness (SA) beyond PPS perimeters requires the use of longer range sensors systems such as Radars or Unattended Ground Sensors which cover relatively large areas. Gathering such sensor data, especially in high noise environments poses a serious challenge to building reliable ED systems. The use of Neural Networks to merge sensor data and identify potential threats can make SA systems available for broader use.