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Software-Controlled Active Electronically Scanned Array Radar for Airbone Ground Surveillance

Software-Controlled Active Electronically Scanned Array Radar for Airbone Ground Surveillance
用于机载地面监视的软件控制有源电子扫描阵列雷达
批准号:
500634-2016
负责人:
Kirubarajan, Thia
金额:
$5.97万
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:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
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英文摘要
Tracking the states of mobile objects (e.g., ground vehicles, ships, aircraft, people) has many applications in communications, law enforcement, defense and biomedical engineering. A wide variety of sensors (e.g., radar, video, sonar, infrared), which may be stationary or mounted on mobile platforms (e.g., aircraft, satellites, ships, cars), are available to generate measurements that are in turn used to estimate the unknown states of mobile objects. With the recent advances in sensor, computer hardware and software technologies, it is possible to adaptively modify the processing, operational modality and configuration of sensors in real time in response to the ever-changing environment. For example, with an active electronically scanned array (AESA) radar, one can adaptively change waveforms, sampling time and sensing mode in real time. The objective of adaptation is to provide rapid response capability or agility.****With adaptation, it is possible to obtain the most accurate object detection, state estimation and classification results (i.e., get the best out of the available sensors) by mitigating as much as possible the effects of the environment, uncertainties in modeling and inaccuracies in sensing. This is precisely the motivation for the proposed work. In this project, we propose to develop a set of adaptive algorithms with particular application to multisenor-multitarget tracking in airborne surveillance systems with an AESA radar. With some changes, the same concepts can be used in intelligent highway systems (IHS) and maritime vessel traffic management service (VTMS) systems as well.**
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Robust State Estimation in Uncertain Environments Using Point Process Models
  • 批准号:
    RGPIN-2017-05365
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.23万
  • 财政年份:
    2021
  • 负责人:
    Kirubarajan, Thia
  • 依托单位:
Airborne Tracking of Small Ground and Maritime Targets Under Realistic Conditions
  • 批准号:
    535810-2018
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $26.23万
  • 财政年份:
    2021
  • 负责人:
    Kirubarajan, Thia
  • 依托单位:
Optimal Layered Resource Management and Data Processing for Threat Detection in Urban Environments
  • 批准号:
    538404-2018
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $6.99万
  • 财政年份:
    2021
  • 负责人:
    Kirubarajan, Thia
  • 依托单位:
Optimal Layered Resource Management and Data Processing for Threat Detection in Urban Environments
  • 批准号:
    538404-2018
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $6.99万
  • 财政年份:
    2020
  • 负责人:
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  • 依托单位:
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