**Sonar Mapping
and Tracking
**

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?

**Placement**

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**

**Tracking**

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**