Spatial Transformation Imaging in Terahertz Band: A Successive Interference Cancellation Approach

被引：0

作者：

Jing, Guangzheng ^{[1
]}

Hong, Jingxiang ^{[1
]}

Rodriguez-Pineiro, Jose ^{[1
]}

Yin, Xuefeng ^{[1
]}

Yu, Ziming ^{[2
]}

He, Jia ^{[2
]}

Li, Xianjin ^{[2
]}

机构：

[1] Tongji Univ, Coll Elect & Informat Engn, Shanghai 201804, Peoples R China

[2] Huawei Technol Co Ltd, Wireless Technol Lab, Chengdu 611731, Peoples R China

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2023年 / 12卷 / 08期

基金：

中国国家自然科学基金;

关键词：

Imaging; Antennas; Interference cancellation; Spatial resolution; Antenna arrays; Estimation; Terahertz wave imaging; Integrated sensing and communication; Terahertz imaging; successive interference cancellation; spherical wave;

D O I：

10.1109/LWC.2023.3276819

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this letter, a novel imaging algorithm that unifies the signal models for imaging targets located in the far and near fields using spherical wave is proposed. The algorithm, namely successive-interference-cancellation-aided spatial transformation imaging (SSTI), incorporates the successive interference cancellation (SIC) technique to improve the contrast and quality of the results due to effectively reducing the interference induced by neighboring pixels. The spatial resolution of the proposed algorithm has been analyzed both analytically and by simulation, and the measurement data was used to evaluate the performance of SSTI. The results indicate that the proposed algorithm outperforms back-projection (BP) and Match Filter (MF) algorithms both in the contrast and quality of the obtained images.

引用

页码：1414 / 1418

页数：5

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