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 paper 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.