Moving Source Localization in Passive Sensor Network With Location Uncertainty
Zhi Mao, Hongtao Su, He Bin, Xinchen Jing
Abstract
This letter focuses on the passive localization of a moving source in the presence of random sensor location errors. We propose a modified two-stage closed-form method that takes the sensor location errors into account, utilizing time difference of arrival and frequency difference of arrival measurements. This method utilizes the weighted spherical interpolation approach to obtain an initial estimation in the first stage. The initial estimation is substituted into the original criterion to get a final estimation in the second stage. Theoretical analysis shows the proposed method can reach the Cramer-Rao lower bound under the small Gaussian noise assumption. Numerical simulation results show high noise tolerances of the method.