Optimization of a multi-band, multi-mission phased array radar network using a genetic algorithm

Numerous studies have proposed a next-generation Multi-Mission Phased Array Radar (MPAR) network in the USA, however most of these have focused on either the S-band or the X-band exclusively. With a high importance being placed on the multi-mission aspect of the MPAR project, a single-band network would be problematic in providing a replacement for the four main radar networks in the USA (WSR-88D, Terminal Doppler Weather Radar, Airport Surveillance Radar, and the Air Route Surveillance Radar). A multi-band network would provide a sufficient range of frequencies to manage the multiple radar missions while still offering a cohesive, joint-effort MPAR network with similar designs, centralized maintenance and support, and significantly increased low-level coverage and performance. A series of multi-band network optimizations are presented, taking into account factors such as population density, beam blockage, and various climatological datasets. Using our optimization framework, a full cost-benefit field has been generated which can be applied to network design based on user needs and financial constraints.