Collision avoidance is one of the high‐level safety objectives and requires a complete and reliable description of maritime traffic situation. A combined use of data provided by independent data sources is an approach to improve the accuracy and integrity of traffic situation related information. In this paper we study the usage of radar images for automatic identification system (AIS) ...

Distributed array radar can improve radar detection capability and measurement accuracy. However, it will suffer cyclic ambiguity in its angle estimates according to the spatial Nyquist sampling theorem since the large sparse array is undersampling. Consequently, the state estimation accuracy and track validity probability degrades when the ambiguous angles are directly used for target tracking...

Target tracking algorithms in radar systems have to operate in an environment of measurement uncertainty. A condition for good target tracking in a radar system is that a target position can be estimated and the measurement accuracy can be determined. The main problem is that clutter cannot be well defined by a stationary stochastic process and there is no known general model that works in diff...

A track before detect method based on data fusion of infrared and radar is proposed to increase the probability of correct track initiation and shorten initiation time. Track before detect is a new technique for dim target detection and tracking which is useful when the signal-tonoise ratio of target is low. Particle filter and dynamic programming for track before detect are currently proposed ...

Maritime Domain Awareness is an initiative started to help each sea-bordering country improve its understanding of its Exclusive Economic Zone. A country that improves its Maritime Domain Awareness ensures that activities such as piracy and Illegal, Unreported and Unregulated fishing are identified more quickly and the appropriate actions for each are taken. For instance, having better awarenes...

A key component of cognitive radar is the ability to generalize , or achieve consistent performance across a range sensing environments, since aspects physical scene may vary over time. This presents challenge for learning-based waveform selection approaches, transmission policies which are eff...