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FDA-MIMO-Based Integrated Multi-Target Sensing and Communication System with Complex Coefficients Information Embedding by Jian, Jiangwei; Huang, Bang; Jia, Wenkai; Fu, Mingcheng; Wang, Wen-Qin; Huang, Qimao is a scholarly article available to read on EtoBox.

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The echo signals of frequency diverse array multiple-input multiple-output (FDA-MIMO) feature angle-range coupling, enabling simultaneous discrimination and estimation of multiple targets at different locations. In light of this, based on FDA-MIMO, this paper explores an sensing-centric integrated sensing and communication (ISAC) system for multi-target sensing. At the base station, we propose the FDA-MIMO-based spatial spectrum multi-target estimation (SSMTE) method, which first jointly estimates the angle and distance of targets and then estimates the velocities. To reduce the sensing computational complexity, the low-complexity spatial spectrum estimation (LCSSE) algorithm is proposed. LCSSE reduces the complexity without degrading the sensing performance by converting the joint angle-range search into two one-dimensional searches. To address the range ambiguity caused by frequency offset, a frequency offset design criterion (FODC) is proposed. It designs the integer and fractional components of the frequency offset to ensure the ambiguity distance exceeds the maximum sensing range, thereby alleviating parameters pairing errors. Moreover, the complex coefficients information emb

Author

Jian, Jiangwei; Huang, Bang; Jia, Wenkai; Fu, Mingcheng; Wang, Wen-Qin; Huang, Qimao

Published

2024

Language

EN