How do you arrange distributed active sensors so as to maximize the coverage in a given space with the minimum number of sensors? Given the arrangement, how do you efficiently track multiple targets in this sensor field?
This project attempts to solve these problems using computational intelligence techniques. Multistatic sonar buoys (transmitters and receivers) are to be optimally placed in a littoral environment for which a computationally underwater acoustic model has been developed. The multi-objective placement problem can be solved using evolutionary computation, however, for real-time planning, it is critical to develop efficient algorithms.
Placement Optimization Simulation
In order to effectively and efficiently track objects using the optimized field, a tracking algorithm must be developed. It is the goal of this research to design such an algorithm and solve the sensor management problems that arise in using a large field of sensors.
Target Tracking Simulation