Effective allocation of multifunction radar resources

Abstract: The effective allocation of radar resources is essential if MFR is to realize its full potential. The MFR, aided by algorithms in electronically steered phased array technology, is capable of performing numerous, differing and potentially conflicting tasks. However, the full potential of the radar system is only realised through the ability of its scheduler to automatically manage and configure the finite resource it has available. The main purpose of this dissertation is to realize the RRM techniques for a MFR and it further investigates the efficiency of several resource management algorithms techniques by empirically comparing their effectiveness and performance. In this dissertation the measures and methods which can be used to allocate radar resource are explored; this choice of objective function is crucial as it determines which attribute is allocated resources and consequently constitutes a description of the problem to be solved. A variety of task specific and information theoretic measures are studied and compared. It is shown that by utilising as wide a variety of measures and methods as possible the radar’s multifunction capability is enhanced. The research investigates the impact of using different algorithms, by studying and observing simulations done by other researchers and finding the best performer algorithm in the uncertain and ever changing environment where MFR normally operates, and using the best possible algorithm for experimental purposes for this research, the mathematical modelling using Matlab Fuzzy logic tool box was done to observe the behaviour of the MFR under different fuzzy rules. It is discovered that fuzzy logic algorithms improves the efficiency in allocation of resources. Fuzzy logic algorithm has proved to produce noteworthy improvements in task performance, resource management and allocation. Thus fuzzy logic algorithms can be declared as the base line on which other algorithms can be compared to and the ideal algorithm to handle uncertainty and adaption to a dynamic environment, where most MFRs normally operate.M.Ing