课题基金 / 基金详情

Radar identification and countermeasures

Radar identification and countermeasures
雷达识别与对抗
批准号:
474600-2014
负责人:
Krishnamurthy, Vikram
金额:
$2.33万
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

项目摘要

项目成果

Krishnamurthy, Vikram的其他基金

相似基金

相关文献

中文摘要
翻译
先进的射频发射器,如现代雷达,能够在 实时的。了解他们对电磁频谱的使用以及他们与其他无线电频率用户的共存在军事和民用应用中都是重要的。本次CRD项目主要围绕两个方面展开: 1.雷达辐射源的分类和估计:从这种辐射源发出的信号取决于发射源的功能、环境、目标返回(如果辐射源是雷达)和操作员干预。在这个项目中,通过利用各种滴头动态的概率模型,我们的目标是识别/分类滴头,估计它们的运行模式,并预测未来的运行模式。以截获的信号为基础,这种“模型驱动”的方法 便于对复杂的多功能雷达进行快速分类并估计其模式(搜索、捕获、跟踪)。 2.电子对抗:移动平台上现代多模传感器的激增和复杂性极大地增加了电子对抗(ECM)功能的复杂性,ECM功能是为防止或降低这些传感器利用电磁频谱的有效性而采取的行动。电子对抗对于干扰雷达是必不可少的。在民用应用中,了解电磁干扰对雷达的影响是设计雷达的关键。 可以与其他用户共存并在系统存在的情况下高效运行的雷达 干扰(故意或非故意)。在传统的ECM系统中,干扰是在开环中进行的,而不利用后续测量数据中的大量信息。在本项目中,我们脱离了传统的ECM 针对实时电子对抗信息,采用自适应控制雷达干扰信号的方法。
英文摘要
Sophisticated radio frequency emitters such as modern radars have the ability to adapt their operating mode in real time. Understanding their usage of electromagnetic spectrum and their coexistence with other radio frequency users is important in military and civilian applications. This CRD project focuses on two aspects: 1. Radar Emitter Classification and Estimation: Signals radiated from such emitters depend on the functionality of the emitter, the environment, target returns (if the emitter is a radar) and human operator intervention. In this project, by exploiting probabilistic models for the dynamics of various emitters, our aim is to identify/classify emitters, estimate their operating mode and predict future operating modes. Based on the intercepted signals, such a "model driven" approach facilitates rapid classification of sophisticated multi-function radars and estimation of their mode (search, acquisition, track). 2.Electronic Countermeasures: The proliferation and complexity of modern multimode sensors on mobile platforms greatly complicates electronic countermeasure (ECM) functions, which are actions taken to prevent or reduce the effectiveness of these sensors use of the electromagnetic spectrum. Electronic countermeasures are essential for jamming radars. In civilian applications, understanding the effect of electromagnetic interference on radars is essential for designing radars that can co-exist with other users, and operate efficiently in the presence of systematic interference (deliberate or otherwise). In conventional ECM systems, jamming is done in open loop without exploiting substantial information in subsequent measured data. In the current project, we depart from conventional ECM approaches by adaptively controlling the real time radar jamming signal in response to real time ECM information.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Statistical Signal Processing
  • 批准号:
    1000230782-2015
  • 项目类别:
    Canada Research Chairs
  • 资助金额:
    $1.21万
  • 财政年份:
    2017
  • 负责人:
    Krishnamurthy, Vikram
  • 依托单位:
Statistical Signal Processing
  • 批准号:
    1000210862-2008
  • 项目类别:
    Canada Research Chairs
  • 资助金额:
    $3.64万
  • 财政年份:
    2016
  • 负责人:
    Krishnamurthy, Vikram
  • 依托单位:
Sensor-Adaptive Signal Processing for Dynamic Decision Making
  • 批准号:
    251246-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $5.46万
  • 财政年份:
    2016
  • 负责人:
    Krishnamurthy, Vikram
  • 依托单位:
Statistical Signal Processing
  • 批准号:
    1000230782-2015
  • 项目类别:
    Canada Research Chairs
  • 资助金额:
    $10.93万
  • 财政年份:
    2016
  • 负责人:
    Krishnamurthy, Vikram
  • 依托单位:
国内基金
海外基金
脊髓新鉴定SNAPR神经元相关环路介导SCS电刺激抑制恶性瘙痒
  • 批准号:
    82371478
  • 项目类别:
    面上项目
  • 资助金额:
    48.00万元
  • 批准年份:
    2023
  • 负责人:
    焦英甫
  • 依托单位:
面向人工智能生成内容的风险识别与治理策略研究
  • 批准号:
    72304290
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30.00万元
  • 批准年份:
    2023
  • 负责人:
    向安玲
  • 依托单位:
Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    160万元
  • 批准年份:
    2022
  • 负责人:
    李忠平
  • 依托单位:
白桦雄花早期发育转录组分析及重要基因功能鉴定
  • 批准号:
    31100449
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    23.0万元
  • 批准年份:
    2011
  • 负责人:
    刘雪梅
  • 依托单位: