Joint Target and Transmitter Localization With AOA and DTD Using Passive Sensors
Zhi Mao, Hongtao Su, Jiangke Song, Kexin Han · IEEE Signal Processing Letters · 2024
This paper investigates the joint localization of a target and transmitter in 3-D space using passive sensors when the transmitter position is unattainable. We propose a novel twostep joint localization algorithm based on the differential time delay (DTD) between the line-of-sight signal from the transmitter and the target-scattered signal, as well as their angles of arrival (AOA). The algorithm provides closed-form solutions, only requiring two passive sensors at the minimum and without the need for raw signal passing between different sensors. Simulation results demonstrate that the proposed solutions can achieve the Cramer-Rao Lower Bound under the Gaussian noise model ´ over the small noise region. Moreover, the proposed algorithm provides superior target localization performance compared to the existing algorithm