Comparing Illuminator Selection Algorithms for Mobile Communication Based Passive Radar

The spatial arrangement of receiver and transmitter sites defining the layout of a passive radar system has crucial influence on the system's performance in achievable estimation accuracy. Several approximation algorithms have been proposed for determining an optimal illuminator layout with respect to multiple receiver sites. Previously, we considered an Evolutionary Algorithm (EA) to determine an optimal layout with regard to target state estimation, where we utilized the Cramér-Rao Lower Bound (CRLB) as performance metric. In this work, we present a Branch and Bound (B&B) algorithm to find an optimal illuminator selection and compare the performance of different alternative optimization algorithms. There, the goal is to balance the trade-off between reliably finding good solutions and computation time.