On the use of genetic algorithms for optimization of a multi-band, Multi-Mission radar network

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 due to terrain, various climatological datasets, and attenuation at high frequencies due to convective precipitation. 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.