A Novel Method for Proximity Detection of Moving Targets Using a Large-Scale Planar Capacitive Sensor System

电容感应 平面的 动态范围 电容 探测器 灵敏度(控制系统) 材料科学 声学 宽动态范围 同质性(统计学) 射弹 电极 光学 电子工程 物理 计算机科学 电气工程 工程类 量子力学 机器学习 计算机图形学(图像) 冶金
作者
Yong Ye,Jiahao Deng,Sanmin Shen,Zhuo Hou,Yuting Liu
出处
期刊:Sensors [MDPI AG]
卷期号:16 (5): 699-699 被引量:19
标识
DOI:10.3390/s16050699
摘要

A novel method for proximity detection of moving targets (with high dielectric constants) using a large-scale (the size of each sensor is 31 cm × 19 cm) planar capacitive sensor system (PCSS) is proposed. The capacitive variation with distance is derived, and a pair of electrodes in a planar capacitive sensor unit (PCSU) with a spiral shape is found to have better performance on sensitivity distribution homogeneity and dynamic range than three other shapes (comb shape, rectangular shape, and circular shape). A driving excitation circuit with a Clapp oscillator is proposed, and a capacitance measuring circuit with sensitivity of 0.21 V p − p / pF is designed. The results of static experiments and dynamic experiments demonstrate that the voltage curves of static experiments are similar to those of dynamic experiments; therefore, the static data can be used to simulate the dynamic curves. The dynamic range of proximity detection for three projectiles is up to 60 cm, and the results of the following static experiments show that the PCSU with four neighboring units has the highest sensitivity (the sensitivities of other units are at least 4% lower); when the attack angle decreases, the intensity of sensor signal increases. This proposed method leads to the design of a feasible moving target detector with simple structure and low cost, which can be applied in the interception system.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
叙事医学完成签到 ,获得积分10
刚刚
FashionBoy应助第七个星球采纳,获得10
刚刚
商洪涛完成签到,获得积分10
1秒前
1秒前
1秒前
华仔应助刻苦鱼采纳,获得10
1秒前
2秒前
2秒前
3秒前
今后应助zhjwu采纳,获得10
3秒前
田様应助憨憨采纳,获得10
3秒前
3秒前
JamesPei应助zoe采纳,获得10
3秒前
黑曜石完成签到,获得积分10
4秒前
Jasper应助ting5260采纳,获得10
4秒前
lbw完成签到,获得积分10
4秒前
5秒前
DYB完成签到,获得积分10
5秒前
5秒前
小陈发布了新的文献求助10
5秒前
可爱的函函应助鱼浅浅采纳,获得10
5秒前
5秒前
小元发布了新的文献求助10
5秒前
6秒前
番茄鱼发布了新的文献求助10
7秒前
7秒前
杨凤霞完成签到,获得积分10
7秒前
oohey发布了新的文献求助10
8秒前
大星星发布了新的文献求助10
9秒前
9秒前
wuxifan发布了新的文献求助10
9秒前
未live完成签到,获得积分10
9秒前
Francis发布了新的文献求助30
10秒前
10秒前
lky完成签到,获得积分10
10秒前
10秒前
FashionBoy应助皮皮蛙采纳,获得10
10秒前
WuZY完成签到,获得积分10
11秒前
11秒前
量子星尘发布了新的文献求助10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5719256
求助须知:如何正确求助?哪些是违规求助? 5255673
关于积分的说明 15288302
捐赠科研通 4869143
什么是DOI,文献DOI怎么找? 2614653
邀请新用户注册赠送积分活动 1564667
关于科研通互助平台的介绍 1521894