Particle Filter for Information Management in an Autonomously Operating Activated Distributed Sensor Network

The performance of a multistatic particle filter is evaluated with the help of a test data set for several activation/receiver scenarios, signal to noise levels, signal fluctuation settings and target paths. The likelihood functions used include aspect dependency for a cylindrical object. The results of the performance evaluation are used to propose a procedure for the management of source activation and information exchange between the receivers.