Adaptivity in Over-the-Horizon and High-Frequency Surface Wave Radar
超视距高频面波雷达的自适应性
基本信息
- 批准号:419142-2011
- 负责人:
- 金额:$ 3.64万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Department of National Defence / NSERC Research Partnership
- 财政年份:2017
- 资助国家:加拿大
- 起止时间:2017-01-01 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
An issue of growing strategic importance to Canada is effective surveillance over its vast airspace and thecoastline up to and beyond the Exclusive Economic Zone. Currently, only a fraction of Canadian airspace andcoastline is covered by primary radar. Over-the-horizon radar (OTHR) has been shown to be a cost-effectiveand the most environmentally-friendly solution for surveillance of the Canadian airspace. High-frequencysurface-wave radar (HFSWR) is well suited for coastal surveillance. The current capabilities of these systems islimited by interference - due to auroral clutter in the case of OTHR when used in Canada; in HFSWR seaclutter dominates the near ranges and ionospheric clutter in the far ranges. In the higher sea-states, currently,sea-clutter makes target detection impossible. These interference sources are well known to be spatially- andtime-varying and spatially non-homogeneous. Looking forward, the key to effective surveillance is to be able tosuppress this interference in real-time using all available degrees of freedom - better adaptive signal processingat the receiver(s), coupled with adaptivity on transmit, the design of optimal and practical, but close-to-optimalwaveforms, better antennas. The long-term goal of this project is to detect targets such as commercial airplanesusing OTHR and small, slow-moving, fishing vessels in various sea-states using HFSWR.This project builds on previous collaborations with both partners, Defense Research and Development Canadaand Raytheon Canada We propose developing a comprehensive understanding of target detection in OTHR andHFSWR. We propose a mix of algorithm development for weak-target detection based on space-time adaptiveprocessing, the development multiple-input multiple-output techniques for radar, especially waveform designand antenna configuration, the use of real-time training to compensate for propagation through a disturbedionosphere and theoretical developments in distributed detection. A key driver is the availability of measureddata for both forms of radar from our research partners.
对加拿大来说,一个日益重要的战略问题是对其广阔空域和专属经济区内外的海岸线进行有效监视。目前,加拿大只有一小部分空域和海岸线被一次雷达覆盖。超视距雷达(OTHR)已被证明是加拿大领空监视的一种具有成本效益和最环保的解决方案。高频地波雷达(HFSWR)非常适合于海岸警戒。这些系统目前的能力受到干扰的限制--在加拿大使用OTHR时是由于极光杂波;在高频地波雷达中,海杂波在近距离占主导地位,在远距离则是电离层杂波。目前,在海况较高的情况下,海杂波使目标检测变得不可能。众所周知,这些干扰源在空间和时间上都是变化的,并且在空间上是不均匀的。展望未来,有效监测的关键是能够利用所有可用的自由度实时抑制这种干扰--在接收端进行更好的自适应信号处理(S),再加上发射时的自适应,设计出最优和实用但接近最优的波形,更好的天线。该项目的长期目标是在不同的海州使用高频地波雷达探测目标,如使用超视距雷达的商用飞机和小型、缓慢移动的渔船。该项目建立在之前与加拿大国防研究和发展公司和加拿大雷神公司的合作基础上。我们建议对超视距雷达和高频地波雷达中的目标探测有一个全面的了解。我们提出了基于时空自适应处理的弱目标检测算法的发展,雷达多输入多输出技术的发展,特别是波形设计和天线配置,使用实时训练来补偿通过干扰层的传播,以及分布式检测的理论发展。一个关键的驱动因素是我们的研究伙伴提供了这两种雷达的测量数据。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Adve, Raviraj其他文献
The Thermal Impact of THz Signaling in Protein Nanonetworks
太赫兹信号对蛋白质纳米网络的热影响
- DOI:
10.1145/3576781.3608730 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Elayan, Hadeel;Elmaadawy, Samar;Eckford, Andrew W.;Adve, Raviraj;Jornet, Josep - 通讯作者:
Jornet, Josep
Improving amplify-and-forward relay networks: Optimal power allocation versus selection
- DOI:
10.1109/twc.2007.06026 - 发表时间:
2007-08-01 - 期刊:
- 影响因子:10.4
- 作者:
Zhao, Yi;Adve, Raviraj;Lim, Teng Joon - 通讯作者:
Lim, Teng Joon
Symbol error rate of selection amplify-and-forward relay systems
- DOI:
10.1109/lcomm.2006.060774 - 发表时间:
2006-11-01 - 期刊:
- 影响因子:0
- 作者:
Zhao, Yi;Adve, Raviraj;Lim, Teng Joon - 通讯作者:
Lim, Teng Joon
User-Centric Cell-Free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions
- DOI:
10.1109/comst.2021.3135119 - 发表时间:
2022-01-01 - 期刊:
- 影响因子:35.6
- 作者:
Ammar, Hussein A.;Adve, Raviraj;Srinivas, Kothapalli Venkata - 通讯作者:
Srinivas, Kothapalli Venkata
Downlink Resource Allocation in Multiuser Cell-Free MIMO Networks With User-Centric Clustering
- DOI:
10.1109/twc.2021.3104456 - 发表时间:
2022-03-01 - 期刊:
- 影响因子:10.4
- 作者:
Ammar, Hussein A.;Adve, Raviraj;Srinivas, Kothapalli Venkata - 通讯作者:
Srinivas, Kothapalli Venkata
Adve, Raviraj的其他文献
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{{ truncateString('Adve, Raviraj', 18)}}的其他基金
Regulation Aware Spectrum Sharing in 5G and B5G Wireless Networks
5G 和 B5G 无线网络中的监管感知频谱共享
- 批准号:
556279-2020 - 财政年份:2021
- 资助金额:
$ 3.64万 - 项目类别:
Alliance Grants
Optimizing sensing in spectrally crowded RF enrivonments
优化频谱拥挤的射频环境中的传感
- 批准号:
RGPIN-2017-06043 - 财政年份:2021
- 资助金额:
$ 3.64万 - 项目类别:
Discovery Grants Program - Individual
Regulation Aware Spectrum Sharing in 5G and B5G Wireless Networks
5G 和 B5G 无线网络中的监管感知频谱共享
- 批准号:
556279-2020 - 财政年份:2020
- 资助金额:
$ 3.64万 - 项目类别:
Alliance Grants
Optimizing sensing in spectrally crowded RF enrivonments
优化频谱拥挤的射频环境中的传感
- 批准号:
RGPIN-2017-06043 - 财政年份:2020
- 资助金额:
$ 3.64万 - 项目类别:
Discovery Grants Program - Individual
Low-cost, application-aware, high-fidelity methods for 5G systems and beyond
适用于 5G 系统及其他系统的低成本、应用感知、高保真方法
- 批准号:
502333-2019 - 财政年份:2019
- 资助金额:
$ 3.64万 - 项目类别:
Department of National Defence / NSERC Research Partnership
Design of massive distributed antenna systems in 5G networks
5G网络中大规模分布式天线系统设计
- 批准号:
514653-2017 - 财政年份:2019
- 资助金额:
$ 3.64万 - 项目类别:
Collaborative Research and Development Grants
Optimizing sensing in spectrally crowded RF enrivonments
优化频谱拥挤的射频环境中的传感
- 批准号:
RGPIN-2017-06043 - 财政年份:2019
- 资助金额:
$ 3.64万 - 项目类别:
Discovery Grants Program - Individual
Low-cost, application-aware, high-fidelity methods for 5G systems and beyond
适用于 5G 系统及其他系统的低成本、应用感知、高保真方法
- 批准号:
502333-2016 - 财政年份:2019
- 资助金额:
$ 3.64万 - 项目类别:
Collaborative Research and Development Grants
Optimizing sensing in spectrally crowded RF enrivonments
优化频谱拥挤的射频环境中的传感
- 批准号:
RGPIN-2017-06043 - 财政年份:2018
- 资助金额:
$ 3.64万 - 项目类别:
Discovery Grants Program - Individual
Design of massive distributed antenna systems in 5G networks
5G网络中大规模分布式天线系统设计
- 批准号:
514653-2017 - 财政年份:2018
- 资助金额:
$ 3.64万 - 项目类别:
Collaborative Research and Development Grants
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