Cooperative UAV missions by the network of low cost sensors and intelligent path planning can improve the performance and reduce the total cost of mission.

Using modified Monte-Carlo filtering to fuse sensors measurement and evolve the prior target probability distribution, has shown promise for target track before detect method.

Cooperative searching guidance of UAVs, joint with optimal guidance points can significantly enhance the information content of captured signals.

Unobservability of searching for multi-targets has been handled by restricting Monte-Carlo samples.