  Millimeter-wave (mmWave) signals provide attractive opportunities for sensing
due to their inherent geometrical connections to physical propagation channels.
Two common modalities used in mmWave sensing are monostatic and bistatic
sensing, which are usually considered separately. By integrating these two
modalities, information can be shared between them, leading to improved sensing
performance. In this paper, we investigate the integration of monostatic and
bistatic sensing in a 5G mmWave scenario, implement the extended Kalman-Poisson
multi-Bernoulli sequential filters to solve the sensing problems, and propose a
method to periodically fuse user states and maps from two sensing modalities.
