A Genetic Algorithm-Based Optimization of Multi-Station Cooperative Localization Deployment
Year: 2024
Type: conference-paper
Abstract: 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.
Authors: Jie Yang, Lei Cao, Jiale Wang, Yunfeng Gao, Shijie Liang
Institution: Xi’an University of Posts and Telecommunications
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4411730144