  In this paper, we consider the moving target sensing problem for integrated
sensing and communication (ISAC) systems in clutter environment. Scatterers
produce strong clutter, deteriorating the performance of ISAC systems in
practice. Given that scatterers are typically stationary and the targets of
interest are usually moving, we here focus on sensing the moving targets.
Specifically, we adopt a scanning beam to search for moving target candidates.
For the received signal in each scan, we employ high-pass filtering in the
Doppler domain to suppress the clutter within the echo, thereby identifying
candidate moving targets according to the power of filtered signal. Then, we
adopt root-MUSIC-based algorithms to estimate the angle, range, and radial
velocity of these candidate moving targets. Subsequently, we propose a target
detection algorithm to reject false targets. Simulation results validate the
effectiveness of these proposed methods.
