A Genetic Algorithm-Based Optimization of Multi-Station Cooperative Localization Deployment

To solve the nonlinearity issue in TDOA FDOA passive positioning, a multi-station cooperative positioning optimization approach based on GA is suggested. Using GA, the algorithm iteratively looks for the best deployment plan inside a given region. Its optimal deployment is based on the guiding idea of minimizing the GDOP value of the localized target space. It greatly improves the Multi-UAVs Passive Localization Dynamic Rapid Deployment Capability and dramatically lowers the positioning error of regional targets as compared to traditional positioning with a fixed number of UAVs.