Effective and affordable detection of small UAVs using millimetre wave coherent Doppler radar.
Effective and affordable detection of small UAVs using millimetre wave coherent Doppler radar.
批准号:
ST/N006569/1
负责人:
Duncan Robertson
金额:
$27.72万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Small unmanned aerial vehicles (SUAVs), or drones, have become incredibly popular due to advances in affordable technology which allow them to be very easily controlled, and fully autonomous GPS-guided SUAVs are now publicly available. However, the nefarious use of SAUVs is also increasing and they are now regarded as a potential threat to public privacy, safety and security. There have been many news reports of unwanted SUAV incursions in recent years including Angela Merkel being buzzed at an event in 2013, several mystery drones being sighted over Paris in early 2015, and two cases of SUAVs landing in the White House grounds in 2015.What if a SUAV-borne camera is being used for reconnaissance at a government building prior to a terrorist attack? What if a SUAV is flown into the path of an aircraft taking off at an airport? What if a larger SUAV equipped with a weapon or explosives is used to attack a large crowd or a nuclear power station? Sadly, these are all credible threats which we cannot ignore and this demands that we have the capability to detect intruding SUAVs and ultimately intervene to neutralise the threat.The successful detection of the intrusion into controlled spaces by small UAVs depends on being able to detect them reliably at sufficient range, i.e. in sufficient time, to be able to take appropriate evasive action whilst discriminating them from other harmless objects. Any sensor has to achieve this in locations containing complex structures and confusing background signals.Radar is one of the best techniques to achieve SUAV detection because it is capable of measuring the characteristic Doppler signatures of the rapidly rotating propellers and thus has the potential to distinguish SUAVs from other moving objects such as birds. However, conventional microwave radar struggles to detect the reflections from SUAVs due to their small size and low metal content.Our previous STFC-funded research has shown that shorter wavelength, millimetre wave radars are particularly well-suited to detecting low reflectivity, slowly moving targets. In that work we developed a radar to measure the Doppler signatures of tiny cloud particles moving high up in the atmosphere. In this project we propose to apply those same techniques to develop a low power, compact, millimetre wave radar demonstrator which will be capable of detecting SUAVs with high probability, and low false alarms, over a wide search area.We believe there are significant market opportunities for compact, low cost millimetre wave radars which may be deployed rapidly and as part of an ad hoc network that can be easily reconfigured to meet the demands of a wide range of site installations. We anticipate that variants of the radar will be suitable for both fixed, permanent installations (e.g. Centres of National Infrastructure (CNI), power stations, airports, government buildings, and data centres) and flexible, temporary deployments (e.g. VIP appearances, music festivals, motor sport events, sports arenas, parades / demonstrations). Our Project Partner, BAE Systems Applied Intelligence Labs, is very well placed to capitalise on these markets given their track record and experience.Beyond the direct economic opportunities of supplying equipment to this potentially large market, there are significant indirect economic benefits to being able to prevent SUAV intrusion. Preventing delays, evacuations or ultimately crashes at airports caused by SUAV intrusion will protect the enormous contribution these transport hubs make to the UK economy. Furthermore, preventing the unauthorised recording/filming of new movies and major sporting events from SUAV-borne cameras will protect valuable intellectual property. Of course, the threat from SUAVs is not limited to the UK: if a reliable system is developed from this research, it could be exported to foreign nations that share the same concerns, bringing further wealth to the UK economy.
期刊论文(9)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
Millimeter-wave radar micro-Doppler feature extraction of consumer drones and birds for target discrimination
消费型无人机和鸟类的毫米波雷达微多普勒特征提取用于目标辨别
DOI:
10.1117/12.2518846
发表时间:
2019
期刊:
影响因子:
--
作者:
[Rahman S]
通讯作者:
Rahman S
Time-Frequency Analysis of Millimeter-Wave Radar Micro-Doppler Data from Small UAVs
小型无人机毫米波雷达微多普勒数据的时频分析
DOI:
10.1109/sspd.2017.8233269
发表时间:
2017
期刊:
影响因子:
--
作者:
[Rahman S]
通讯作者:
Rahman S
DOI:
10.48550/arxiv.2207.01927
发表时间:
2022-07
期刊:
ArXiv
影响因子:
--
作者:
[F. Svanström;F. Alonso-Fernandez;Cristofer Englund]
通讯作者:
F. Svanström;F. Alonso-Fernandez;Cristofer Englund
DOI:
10.1049/iet-rsn.2018.5122
发表时间:
2019-02-01
期刊:
IET RADAR SONAR AND NAVIGATION
影响因子:
1.7
作者:
[Rahman, Samiur, Robertson, Duncan Alexander]
通讯作者:
Robertson, Duncan Alexander
DOI:
10.1049/iet-rsn.2019.0493
发表时间:
2020-05-01
期刊:
IET RADAR SONAR AND NAVIGATION
影响因子:
1.7
作者:
[Rahman, Samiur, Robertson, Duncan A.]
通讯作者:
Robertson, Duncan A.
共 9 条
Radar-supported Next-Generation Forecasting of Volcanic Ash Hazard (R4AsH)
-
批准号:NE/S003622/1
-
项目类别:Research Grant
-
资助金额:$51.5万
-
财政年份:2019
-
负责人:Duncan Robertson
-
依托单位:
Development of a W-band gyro-amplifier for high power, wideband, pulsed coherent applications.
-
批准号:ST/N002318/1
-
项目类别:Research Grant
-
资助金额:$2.92万
-
财政年份:2015
-
负责人:Duncan Robertson
-
依托单位:
海外基金