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Electronic phased-array radars offer new possibilities for radar searchpattern optimization by using bi-dimensional beam-forming and beam-steering.Radar search pattern optimization can be approximated as a set cover problemand solved using integer programming, while accounting for localized clutterand terrain masks in detection constraints. We present a set cover problemapproximation for time-budget minimization of radar search patterns, underconstraints of range, detection probability and direction-specific scan updaterates. Branch\&Bound is a classical optimization procedure for solvingcombinatorial problems. It is known mainly as an exact algorithm, but featuresinteresting characteristics, making it particularly fit for solvingoptimization problems in real-time applications and producing just-in-timesolutions.

Branch-and-Bound Method for Just-in-Time Optimization of Radar Search Patterns