Optimisation of radar search patterns in localised clutter and terrain masking under direction‐specific scan update rates constraints

Abstract

Cognitive radars are systems capable of optimizing emission and processing by exploiting knowledge about environment and operational scenario. Those improvements are achieved by controlling new degrees of freedom offered by modern radar technology. In particular, active phased-array radars can perform bidimensional beam-steering and beam-forming. Those new capabilities allow adaptation of radar search patterns to localized constraints. We present an improvement from our previous set cover approximation for radar search pattern time-budget minimization, accounting for localized constraints of terrain masking and direction-specific scan update rates. The addition of those constraints however does not modify the underlying mathematical structure of the problem, which can be solved using integer programming methods.

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“…Naval multi-function radars need to conduct multiple functions, among which surveillance, tracking, fire control and various other functions [4,3,10]. In order to achieve its goal, the radar relies on a Radar Resource Management (RRM) technique.…”

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“…This necessitates the development of adaptive RRM techniques, which vary with the target and interference environment that the vessel is encountering at any given time. RRM techniques have the potential to enhance radar performance compared to non-adaptive techniques, but further study of performance, complexity and robustness needs to be carried out [21,2,12,1,4,3,23].…”