On Radar Privacy in Shared Spectrum Scenarios

To satisfy the increasing consumer demand for mobile data, regulatory bodies have set forward to allow commercial wireless systems to operate on spectrum bands that until recently were reserved for military radar. Such co-existence would require mechanisms for controlling the interference. One such mechanism is to assign a precoder to the communication system, designed to meet certain interference related objectives. This talk looks into whether the implicit radar information contained in such precoder can be exploited by an adversary to infer the radar's location. For two specific precoder schemes, we simulate a machine learning based location inference attack. We show that the information leaked from the precoder can indeed pose various degrees of risk to the radar's privacy, and further confirm this by computing the mutual information between the respective precoder and radar location.