Aug 2026· 2026 IEEE/CIC International Conference on Communications in China (ICCC)· pp. 818-823· 0 citations· 16 references
Abstract
In this paper, we present a new wireless sensing system utilizing a movable antenna (MA) that continuously moves and receives sensing signals to enhance sensing performance over the conventional fixed-position antenna (FPA) sensing. We show that the angle estimation performance is fundamentally determined by the MA trajectory, and derive the Cramér-Rao bound (CRB) of the mean square error (MSE) for angle-ofarrival (AoA) estimation as a function of the trajectory for two-dimensional (2D) antenna movement. We aim to achieve the minimum of maximum (min-max) CRBs of estimation MSE for the two AoAs with respect to the horizontal and vertical axes. To this end, we design an efficient alternating optimization algorithm that iteratively updates the MA's horizontal or vertical coordinates with the other being fixed, yielding a locally optimal trajectory. Numerical results show that the proposed 2D MAbased sensing schemes significantly reduce both the CRB and actual AoA estimation MSE compared to conventional FPA-based sensing with uniform planar arrays (UPAs) as well as various benchmark MA trajectories.
Functional analysis of the SPEB's moment structure proves that the optimal antenna distributions can be realized by a centro-symmetric structure, and shows that the worst-case target is located at the array broadside on the Rayleigh boundary.
Movable antenna (MA) has emerged as a promising technology to unlock spatial degrees of freedom for wireless sensing systems. However, optimizing MA positions for multi-target sensing remains challenging due to the complicated coupling between the array geometry and unknown target directions, as well as severe sidelobe...
Cheng-Zhi Ye, Ruo-Yu Zhang, Li-Peng Zhu et al.· 0 citations
This paper investigates robust beamforming and antenna position design for movable antenna (MA)-enabled integrated sensing and communication (ISAC) systems under antenna position errors. In particular, deviations between the actual and nominal antenna positions in practical MA arrays are inevitable due to limited mecha...
Ze-Yuan Zhang, Ning Wei, Ahmad Bazzi et al.· 0 citations
Integrated sensing, communication, and computing (ISCC) is a promising paradigm for future sixth-generation (6G) networks. However, existing ISCC systems rely on fixed-antenna architectures, which limit spatial degrees-of-freedom (DoFs) and adaptability in dynamic wireless environments. In this paper, we investigate a...
Qi-Yao Wang, Bei-Xiong Zheng, Xue Xiong et al.· IEEE International Symposium...· 0 citations
Movable antennas (MAs) can reshape the propagation environment by continuously adjusting their spatial positions compared with fixed-position antennas (FPAs). Leveraging this advantage, we develop an alternating optimization framework for covert integrated sensing and communication (ISAC) systems. This framework jointl...
Dan Deng, Xing-Wang Li, Shu-Ping Dang et al.· IEEE Transactions on Informa...· 0 citations
Movable antennas (MAs) boost sensing capabilities by exploiting the extra degrees of freedom (DoFs) through flexible positioning. The design of MA arrays is typically challenged by directional uncertainty, where the target’s precise angle is unknown. To address this, we propose a region-oriented design framework focusi...
Yang Xia, Chen Sun, Xi-Qi Gao· IEEE Transactions on Communi...· 0 citations
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