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用于实时干涉孔径综合成像的 1GHz64 通道互相关系统。

A 1-GHz 64-Channel Cross-Correlation System for Real-Time Interferometric Aperture Synthesis Imaging.

机构信息

School of Electronic Information Engineering, Beihang University, No. 37, Xueyuan Road, Haidian District, Beijing 100191, China.

出版信息

Sensors (Basel). 2019 Apr 11;19(7):1739. doi: 10.3390/s19071739.

DOI:10.3390/s19071739
PMID:30978993
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6480425/
Abstract

We present a 64-channel 1-bit/2-level cross-correlation system for a passive millimeter wave imager used for indoor human body security screening. Sixty-four commercial comparators are used to perform 1-bit analog-to-digital conversion, and a Field Programmable Gate Array (FPGA) is used to perform the cross-correlation processing. This system can handle 2016 cross-correlations at the sample frequency of 1GHz, and its power consumption is 48.75 W. The data readout interface makes it possible to read earlier data while simultaneously performing the next correlation when imaging at video rate. The longest integration time is up to 68.7 s, which can satisfy the requirements of video rate imaging and system calibration. The measured crosstalk between neighboring channels is less than 0.068%, and the stability is longer than 10 s. A correlation efficiency greater than 96% is achieved for input signal levels greater than -25 dBm.

摘要

我们提出了一种用于被动毫米波成像仪的 64 通道 1 位/2 电平的互相关系统，用于室内人体安全筛查。64 个商用比较器用于执行 1 位模数转换，现场可编程门阵列（FPGA）用于执行互相关处理。该系统可以在 1GHz 的采样频率下处理 2016 次互相关，其功耗为 48.75W。数据读取接口使得在视频速率成像时可以在执行下一次相关的同时读取早期数据。最长积分时间可达 68.7s，可满足视频速率成像和系统校准的要求。测量得到的相邻通道之间的串扰小于 0.068%，稳定性超过 10s。对于输入信号电平大于-25dBm 的情况，实现了大于 96%的相关效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e25/6480425/01d05428697a/sensors-19-01739-g015.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e25/6480425/d32d7bf51a4d/sensors-19-01739-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e25/6480425/d0b08922c4ea/sensors-19-01739-g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e25/6480425/ccbf90e9439a/sensors-19-01739-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e25/6480425/ca26b4afed8f/sensors-19-01739-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e25/6480425/dece42540976/sensors-19-01739-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e25/6480425/0a478eba02ff/sensors-19-01739-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e25/6480425/c31f0ec88fe6/sensors-19-01739-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e25/6480425/aa83f474d099/sensors-19-01739-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e25/6480425/9f2ff03afa28/sensors-19-01739-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e25/6480425/d32d7bf51a4d/sensors-19-01739-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e25/6480425/bd157a8eba53/sensors-19-01739-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e25/6480425/01d05428697a/sensors-19-01739-g015.jpg

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