Abstract
A robust and secured Network Centric Warfare (NCW) environment can be sustained by real-time tracking of multiple objects in air, water and land, to identify them as friend or enemy. The accurate identification can help the commander to take timely appropriate decisions. The identification of objects has to be supported by Data Association (DA) process. In DA process multiple tracks received for multiple targets from a set of sensors are processed to correlate tracks/measurements to targets. In cluttered environment DA process becomes more challenging and needs appropriate algorithm to produce exact picture to the commander to perform combat control operations in time. The existing DA algorithms are compared and an advanced Multiple Hypothesis Tracking algorithm is implemented and tested. This algorithm contributes towards achievement of a secure and robust network centric Warfare environment.
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