Moving dilated arrays (MDAs) can increase the uniform degrees of freedom (uDOFs) while alleviating mutual coupling, but their performance is susceptible to unknown gain and phase errors (GPEs). To deal with this problem, we investigate self-calibration direction-of-arrival (DOA) estimation for MDAs with unknown GPEs. F...
Kai-Yuan Fang, Cheng-Zhi Ye, Ruo-Yu Zhang et al.· 0 citations
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
Integrated sensing and communication (ISAC) is regarded as a key enabling technique in future 6th-generation (6G) mobile communication systems. However, existing multi-input multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) ISAC designs generally rely on the fixed-position antennas and fixed allocat...
Cheng-Zhi Ye, Ruo-Yu Zhang, Lei Yao et al.· 4 citations
This paper investigates the angle-of-arrival (AoA) estimation problem for wireless sensing systems equipped with movable antennas and proposes a successive convex approximation-based position optimization algorithm that achieves superior AoA estimation performance.
Chengzhi Ye, Ruo-Yu Zhang, Shichao Wei et al.· 1 citation
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