  This paper investigates a fluid antenna (FA) enhanced integrated sensing and
communication (ISAC) system consisting of a base station (BS), multiple
single-antenna communication users, and one point target, where the BS is
equipped with FAs to enhance both the communication and sensing performance.
First, we formulate a problem that maximizes the radar signal-to-noise ratio
(SNR) by jointly optimizing the FAs' positions and transmit beamforming matrix.
Then, to tackle this highly non-convex problem, we present efficient algorithms
by using alternating optimization (AO), successive convex approximation (SCA),
and semi-definite relaxation (SDR). Numerical results demonstrate the
convergence behavior and effectiveness of the proposed algorithm.
