Anti-Localization Uplink Communications in Satellite-Terrestrial Systems
Researchers propose cooperative jamming so a ground transmitter can reach a satellite while degrading adversarial TDOA localization.
The paper studies uplink communication from a ground transmitter to a legitimate satellite while cooperative adversarial satellites try to localize the transmitter using time difference of arrival. The transmitter uses superposition coding and power allocation to send both the message and jamming that confuses detection and TDOA measurement, while the legitimate receiver uses a combining vector to strengthen the signal and suppress jamming. The authors define a localization error probability metric, model it, and jointly optimize jamming coding and power under reliability and transmit-power constraints with sample average approximation. Numerical results are used to show the tradeoff between anti-localization and communication reliability.
- Cooperative adversarial satellites attempt TDOA localization of the uplink transmitter.
- Superposition coding sends information and jamming under a power budget.
- Localization error probability captures detection and TDOA measurement failures.
- Sample average approximation optimizes jamming code and power allocation.
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This paper investigates the anti-localization uplink communication in a satellite-terrestrial system, where a ground transmitter Alice communicates with a legitimate satellite receiver Bob in the presence of multiple cooperative adversarial satellites attempting to localize Alice with the time difference of arrival (TDOA) technique. Specifically, we propose a cooperative jamming-based scheme for such anti-localization communication,in which Alice exploits the superposition coding with power allocation to simultaneously transmit information/jamming signals for communication with Bob and for confusing signal detection/TDOA measurement at adversarial satellites, while Bob employs the combining vector technique to enhance the desired information signal and also suppress the jamming. We define a localization error probability (LEP) metric to jointly depict both the impacts of signal detection and TDOA measurement on localization performance, and then develop a theoretical framework for the LEP modeling under the proposed scheme. We further explore the joint optimal design of jamming coding and power for LEP maximization, subject to the constraints of AliceBob communication reliability and Alice's transmit power. An effective sample average approximation method is also provided to tackle this non-convex optimization problem. Finally, extensive numerical results are illustrated to validate our theoretical models and demonstrate how the cooperative jamming helps to provide an anti-localization guarantee while ensuring communication reliability
Text extracted automatically; images, tables and formatting may be missing. Original: https://arxiv.org/abs/2609.27258