BPSK Modulation-Based Local Oscillator-Free IQ Demodulation for Millimeter Wave Imaging

Author:

Zheng Qibin123ORCID,Jian Yanpeng12,Wang Lei1,Ma Ziyue1,Li Xinyu4,Song Chaofan12,Li Ping23,Ding Li23ORCID

Affiliation:

1. Institute of Biomedical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

2. Terahertz Technology Innovation Research Institute, University of Shanghai for Science and Technology, Shanghai 200093, China

3. Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China

4. Shanghai Radio Equipment Research Institute, Shanghai 201109, China

Abstract

The precision of local oscillator (LO) signal in in-phase and quadrature (IQ) demodulation strongly affects the imaging performance of millimeter wave (mmWave) radars. Therefore, to eliminate the requirement for high-precision LO, a simple yet effective digital IQ demodulation method has been proposed with the aid of a specified sampling scheme in order to eliminate the demand for LO. Based on the bandpass sampling theorem, the characteristic of the intermediate frequency signal of mmWave imaging indicates that the LO is unrequired if the sampling rate is twice of the frequency of the carrier of the intermediate signal. In this way, the in-phase signal would be directly and accurately obtained by performing the Binary-Phase-Shift-Keying (BPSK) modulation on the samples, based on which the IQ demodulation would be completed by using the Hilbert transform. The proposed method does not employ LO and thus simplifies the demodulation process and is suitable for implementation in a Field-Programmable Gate Array (FPGA) with fewer hardware resources. To verify the method, a three-dimensional mmWave radar imaging is carried out at the 30-34 GHz bandwidth, where the sampling and digital IQ demodulation are realized by an ADC (AD9250) and FPGA (XC7K325T), respectively. The results show a simplified transceiver with lower requirements and the prospect of the proposed method being applied in radar imaging and other related fields.

Funder

Science and Technology Commission of Shanghai Municipality

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering

Reference30 articles.

1. Detecting hidden objects: security imaging using millimetre-waves and terahertz;M. C. Kemp

2. Millimeter wave dielectric spectroscopy and breast cancer imaging;L. Chao

3. High-resolution mm-Wave imaging techniques and systems for breast cancer detection;S. D. Meo

4. A Sparse Aperture MIMO-SAR-Based UWB Imaging System for Concealed Weapon Detection

5. Advanced Microwave Imaging

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3