Volume 8 Issue 3
Jun.  2019
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Article Navigation >  Journal of Radars  > 2019  >  8(3): 303-317
Gu Fufei, Zhang Qun, Yang Qiu, Huo Wenjun, Wang Min. Compressed Sensing Imaging Algorithm for High-squint SAR Based on NCS Operator[J]. Journal of Radars, 2016, 5(1): 16-24. doi: 10.12000/JR15035
Citation: JIANG Qian, WU Hao, and WANG Yanyu. Airborne multi-functional maritime surveillance radar system design and key techniques[J]. Journal of Radars, 2019, 8(3): 303–317. doi: 10.12000/JR19045
shu

Airborne Multi-functional Maritime Surveillance Radar System Design and Key Techniques

DOI: 10.12000/JR19045 CSTR: 32380.14.JR19045
  • ①.

    The 38th Research Institute of China Electronics Technology Group Corporation, Hefei 230088, China

  • ②.

    Key Laboratory of Aperture Array and Space Application, Hefei 230088, China

  • ③.

    Navy Military Representative Office in Hefei, Hefei 230088, China

More Information
  • Corresponding author: JIANG Qian, jiangqian0925@163.com
  • Received Date: 2019-03-19
  • Rev Recd Date: 2019-06-17
    • Available Online: 2019-06-24
  • Publish Date: 2019-06-01
    Abstract
  • As the main task load of the airborne platform for sea detection, the airborne multi-functional marine surveillance radar system has the following characteristics: the ability to operate in all weather conditions regularly, a wide detection range, and a complex and changeable working environment. Moreover, the system has a wide area coverage, great application prospects, and plays an important role in marine combat. According to the system characteristics and the advantages of the multi-functional marine surveillance radar, the selection of radar system, working parameters, and the working mode design of the system are discussed. The problems of slow target detection, ineffective tracking and target identification in strong sea clutter, which affects the key performance of the system, and technical ways to solve them are analyzed.

     

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    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 13.7 %其他: 13.7 %其他: 0.1 %其他: 0.1 %Central District: 0.0 %Central District: 0.0 %China: 0.6 %China: 0.6 %Hanoi: 0.2 %Hanoi: 0.2 %India: 0.1 %India: 0.1 %Norway: 0.2 %Norway: 0.2 %United States: 0.1 %United States: 0.1 %[]: 0.6 %[]: 0.6 %上海: 0.6 %上海: 0.6 %临汾: 0.0 %临汾: 0.0 %伊利诺伊州: 0.1 %伊利诺伊州: 0.1 %佛山: 0.0 %佛山: 0.0 %六安: 0.1 %六安: 0.1 %兰州: 0.0 %兰州: 0.0 %加利福尼亚州: 0.0 %加利福尼亚州: 0.0 %包头: 0.0 %包头: 0.0 %北京: 17.0 %北京: 17.0 %北海: 0.0 %北海: 0.0 %南京: 1.0 %南京: 1.0 %南宁: 0.1 %南宁: 0.1 %厦门: 0.0 %厦门: 0.0 %台北: 0.0 %台北: 0.0 %呼和浩特: 0.1 %呼和浩特: 0.1 %哥伦布: 0.0 %哥伦布: 0.0 %唐山: 0.0 %唐山: 0.0 %嘉兴: 0.0 %嘉兴: 0.0 %圣彼得堡: 0.2 %圣彼得堡: 0.2 %大同: 0.0 %大同: 0.0 %大连: 0.0 %大连: 0.0 %天津: 0.2 %天津: 0.2 %太原: 0.1 %太原: 0.1 %娄底: 0.0 %娄底: 0.0 %宜昌: 0.1 %宜昌: 0.1 %宝鸡: 0.1 %宝鸡: 0.1 %宿迁: 0.2 %宿迁: 0.2 %岳阳: 0.1 %岳阳: 0.1 %常州: 0.0 %常州: 0.0 %广州: 0.3 %广州: 0.3 %张家口: 0.6 %张家口: 0.6 %张家界: 0.0 %张家界: 0.0 %成都: 0.1 %成都: 0.1 %文昌: 0.1 %文昌: 0.1 %新乡: 0.5 %新乡: 0.5 %无锡: 0.1 %无锡: 0.1 %日照: 0.0 %日照: 0.0 %昆明: 0.1 %昆明: 0.1 %杭州: 1.2 %杭州: 1.2 %武汉: 0.3 %武汉: 0.3 %沈阳: 0.0 %沈阳: 0.0 %济南: 0.0 %济南: 0.0 %淮南: 0.1 %淮南: 0.1 %淮安: 0.0 %淮安: 0.0 %深圳: 0.8 %深圳: 0.8 %湘潭: 0.1 %湘潭: 0.1 %漯河: 0.0 %漯河: 0.0 %漳州: 0.0 %漳州: 0.0 %焦作: 0.0 %焦作: 0.0 %玉林: 0.1 %玉林: 0.1 %珠海: 0.0 %珠海: 0.0 %益阳: 0.0 %益阳: 0.0 %石家庄: 0.1 %石家庄: 0.1 %秦皇岛: 0.0 %秦皇岛: 0.0 %纽约: 0.2 %纽约: 0.2 %美国伊利诺斯芝加哥: 0.0 %美国伊利诺斯芝加哥: 0.0 %舟山: 0.1 %舟山: 0.1 %芒廷维尤: 14.6 %芒廷维尤: 14.6 %芝加哥: 0.7 %芝加哥: 0.7 %苏州: 0.0 %苏州: 0.0 %衡阳: 0.0 %衡阳: 0.0 %衢州: 0.0 %衢州: 0.0 %西宁: 38.0 %西宁: 38.0 %西安: 0.5 %西安: 0.5 %诺沃克: 0.1 %诺沃克: 0.1 %贵港: 0.1 %贵港: 0.1 %运城: 0.1 %运城: 0.1 %连云港: 0.0 %连云港: 0.0 %邢台: 0.1 %邢台: 0.1 %郑州: 1.5 %郑州: 1.5 %重庆: 0.2 %重庆: 0.2 %长春: 0.0 %长春: 0.0 %长沙: 0.4 %长沙: 0.4 %阜阳: 0.0 %阜阳: 0.0 %阳泉: 0.0 %阳泉: 0.0 %青岛: 0.9 %青岛: 0.9 %其他其他Central DistrictChinaHanoiIndiaNorwayUnited States[]上海临汾伊利诺伊州佛山六安兰州加利福尼亚州包头北京北海南京南宁厦门台北呼和浩特哥伦布唐山嘉兴圣彼得堡大同大连天津太原娄底宜昌宝鸡宿迁岳阳常州广州张家口张家界成都文昌新乡无锡日照昆明杭州武汉沈阳济南淮南淮安深圳湘潭漯河漳州焦作玉林珠海益阳石家庄秦皇岛纽约美国伊利诺斯芝加哥舟山芒廷维尤芝加哥苏州衡阳衢州西宁西安诺沃克贵港运城连云港邢台郑州重庆长春长沙阜阳阳泉青岛

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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