Volume 10 Issue 6
Dec.  2021
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Article Navigation >  Journal of Radars  > 2021  >  10(6): 956-969
SU Hanning, PAN Jiameng, BAO Qinglong, et al. Anti-interrupted sampling repeater jamming method in the waveform domain before matched filtering[J]. Journal of Radars, 2024, 13(1): 240–252. doi: 10.12000/JR23149
Citation: PEI Jiazheng, HUANG Yong, CHEN Baoxin, et al. Long time coherent integration method based on combining pulse compression and Radon-Fourier transform[J]. Journal of Radars, 2021, 10(6): 956–969. doi: 10.12000/JR21068
shu

Long Time Coherent Integration Method Based on Combining Pulse Compression and Radon-Fourier Transform

DOI: 10.12000/JR21068 CSTR: 32380.14.JR21068
  • 1.

    Naval Aviation University, Yantai 264000, China

  • 2.

    92337 Troop of PLA, Dalian 116000, China

  • 3.

    91321 Troop of PLA, Jinhua 321000, China

Funds:  The National Natural Science Foundation of China (61871391, U1933135), The National Defense Science Foundation under Grant (2019-JCJQ-JJ-058), Shandong Province Higher Education Youth Innovation Science and Technology Support Program (2019KJN026), Shandong Provincial Natural Science Foundation, grant number (ZR202102190211)
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    Abstract
  • In the traditional coherent radar signal processing, the cascaded processing with pulse compression followed by coherent integration cannot achieve the maximum accumulation of high-speed target’s echo energy in theory. In addition, the result of the cascaded processing is characterized by deviation in the target peak position, accompanied by problems, such as the broadening of the main lobe, a decrease in the gain, and an increase in the side lobes. Therefore, this paper proposes a long time coherent integration method combining Pulse Compression and Radon-Fourier Transform (PC-RFT). This method utilizes the correlation between signals to combine matched filter and RFT. To maximize the target gain, the fast time (intra-pulse time) and slow time (inter-pulse time) dimensions are combined to compensate for the intra-pulse and inter-pulse Doppler shifts. The experimental results show that the two-dimensional joint processing outperforms the cascaded processing.

     

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    • References(30)
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    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 5.0 %其他: 5.0 %其他: 1.0 %其他: 1.0 %Bacoor: 0.2 %Bacoor: 0.2 %China: 1.8 %China: 1.8 %Gwynn Oak: 0.0 %Gwynn Oak: 0.0 %Kennedy Town: 0.0 %Kennedy Town: 0.0 %Saudi Arabia: 0.1 %Saudi Arabia: 0.1 %Singapore: 0.2 %Singapore: 0.2 %Taichung: 0.0 %Taichung: 0.0 %United States: 0.4 %United States: 0.4 %[]: 0.4 %[]: 0.4 %上海: 1.6 %上海: 1.6 %东京都: 0.0 %东京都: 0.0 %东莞: 0.6 %东莞: 0.6 %中山: 0.1 %中山: 0.1 %临汾: 0.1 %临汾: 0.1 %临沂: 0.2 %临沂: 0.2 %丹东: 0.0 %丹东: 0.0 %丽水: 0.1 %丽水: 0.1 %乌鲁木齐: 0.0 %乌鲁木齐: 0.0 %九江: 0.2 %九江: 0.2 %伦敦: 0.2 %伦敦: 0.2 %佛山: 0.1 %佛山: 0.1 %保定: 0.2 %保定: 0.2 %六安: 0.0 %六安: 0.0 %兰州: 0.1 %兰州: 0.1 %兰辛: 0.1 %兰辛: 0.1 %凤凰城: 0.0 %凤凰城: 0.0 %加利福尼亚: 0.0 %加利福尼亚: 0.0 %北京: 6.5 %北京: 6.5 %十堰: 0.1 %十堰: 0.1 %南京: 2.5 %南京: 2.5 %南充: 0.0 %南充: 0.0 %南宁: 0.1 %南宁: 0.1 %南昌: 0.2 %南昌: 0.2 %南通: 0.1 %南通: 0.1 %卡拉奇: 0.1 %卡拉奇: 0.1 %厦门: 0.0 %厦门: 0.0 %台中: 0.0 %台中: 0.0 %台北: 0.2 %台北: 0.2 %台州: 0.1 %台州: 0.1 %台湾: 0.1 %台湾: 0.1 %台湾省: 0.1 %台湾省: 0.1 %合肥: 0.7 %合肥: 0.7 %周口: 0.0 %周口: 0.0 %呼和浩特: 0.1 %呼和浩特: 0.1 %咸阳: 0.2 %咸阳: 0.2 %哈尔滨: 0.8 %哈尔滨: 0.8 %商洛: 0.1 %商洛: 0.1 %嘉兴: 0.0 %嘉兴: 0.0 %圣彼得堡: 0.2 %圣彼得堡: 0.2 %坦佩: 0.0 %坦佩: 0.0 %大同: 0.0 %大同: 0.0 %大连: 0.1 %大连: 0.1 %天津: 0.7 %天津: 0.7 %太原: 0.2 %太原: 0.2 %威海: 0.1 %威海: 0.1 %孟买: 0.5 %孟买: 0.5 %宁波: 0.0 %宁波: 0.0 %安庆: 0.1 %安庆: 0.1 %安康: 0.1 %安康: 0.1 %宝鸡: 0.1 %宝鸡: 0.1 %宣城: 0.4 %宣城: 0.4 %宿州: 0.0 %宿州: 0.0 %巴中: 0.1 %巴中: 0.1 %常州: 0.1 %常州: 0.1 %广元: 0.0 %广元: 0.0 %广州: 0.9 %广州: 0.9 %库比蒂诺: 0.2 %库比蒂诺: 0.2 %开封: 0.7 %开封: 0.7 %张家口: 1.3 %张家口: 1.3 %张家界: 0.1 %张家界: 0.1 %徐州: 0.2 %徐州: 0.2 %德州: 0.0 %德州: 0.0 %德里: 0.1 %德里: 0.1 %忻州: 0.0 %忻州: 0.0 %恩施: 0.1 %恩施: 0.1 %惠州: 0.0 %惠州: 0.0 %成都: 1.2 %成都: 1.2 %扬州: 0.3 %扬州: 0.3 %新奥尔良: 0.0 %新奥尔良: 0.0 %无锡: 0.1 %无锡: 0.1 %昆明: 0.6 %昆明: 0.6 %晋城: 0.0 %晋城: 0.0 %曼谷: 0.1 %曼谷: 0.1 %朝阳: 0.2 %朝阳: 0.2 %来宾: 0.0 %来宾: 0.0 %杭州: 4.3 %杭州: 4.3 %柳州: 0.1 %柳州: 0.1 %株洲: 0.0 %株洲: 0.0 %格兰特县: 0.0 %格兰特县: 0.0 %桂林: 0.2 %桂林: 0.2 %武汉: 0.9 %武汉: 0.9 %汉中: 0.0 %汉中: 0.0 %江门: 0.0 %江门: 0.0 %沈阳: 0.3 %沈阳: 0.3 %波士顿: 0.0 %波士顿: 0.0 %泰米尔纳德: 0.1 %泰米尔纳德: 0.1 %洛杉矶: 0.1 %洛杉矶: 0.1 %洛阳: 0.1 %洛阳: 0.1 %济南: 0.1 %济南: 0.1 %海口: 0.1 %海口: 0.1 %淮北: 0.0 %淮北: 0.0 %淮南: 0.1 %淮南: 0.1 %深圳: 1.3 %深圳: 1.3 %温州: 0.2 %温州: 0.2 %渭南: 0.2 %渭南: 0.2 %湖州: 0.1 %湖州: 0.1 %湘潭: 0.2 %湘潭: 0.2 %漯河: 0.6 %漯河: 0.6 %潍坊: 0.0 %潍坊: 0.0 %玉林: 0.1 %玉林: 0.1 %盐城: 0.0 %盐城: 0.0 %石家庄: 0.4 %石家庄: 0.4 %福冈县: 0.1 %福冈县: 0.1 %福州: 0.1 %福州: 0.1 %秦皇岛: 0.1 %秦皇岛: 0.1 %米兰: 0.0 %米兰: 0.0 %纽约: 0.0 %纽约: 0.0 %绍兴: 0.0 %绍兴: 0.0 %绵阳: 0.6 %绵阳: 0.6 %芒廷维尤: 25.8 %芒廷维尤: 25.8 %芜湖: 0.1 %芜湖: 0.1 %芝加哥: 0.6 %芝加哥: 0.6 %苏州: 0.5 %苏州: 0.5 %荆州: 0.0 %荆州: 0.0 %菏泽: 0.0 %菏泽: 0.0 %萍乡: 0.1 %萍乡: 0.1 %葫芦岛: 0.0 %葫芦岛: 0.0 %葵涌: 0.2 %葵涌: 0.2 %蚌埠: 0.2 %蚌埠: 0.2 %衡水: 0.1 %衡水: 0.1 %衡阳: 0.0 %衡阳: 0.0 %衢州: 0.1 %衢州: 0.1 %西宁: 19.4 %西宁: 19.4 %西安: 2.7 %西安: 2.7 %西安市鄠邑区: 0.0 %西安市鄠邑区: 0.0 %诺沃克: 0.1 %诺沃克: 0.1 %贵阳: 0.4 %贵阳: 0.4 %运城: 0.4 %运城: 0.4 %邯郸: 0.1 %邯郸: 0.1 %郑州: 0.5 %郑州: 0.5 %重庆: 0.4 %重庆: 0.4 %银川: 0.1 %银川: 0.1 %镇江: 0.1 %镇江: 0.1 %长春: 0.1 %长春: 0.1 %长沙: 1.1 %长沙: 1.1 %长治: 0.1 %长治: 0.1 %雷恩: 0.1 %雷恩: 0.1 %青岛: 0.6 %青岛: 0.6 %香港: 0.1 %香港: 0.1 %香港特别行政区: 0.1 %香港特别行政区: 0.1 %驻马店: 0.0 %驻马店: 0.0 %齐齐哈尔: 0.2 %齐齐哈尔: 0.2 %其他其他BacoorChinaGwynn OakKennedy TownSaudi ArabiaSingaporeTaichungUnited States[]上海东京都东莞中山临汾临沂丹东丽水乌鲁木齐九江伦敦佛山保定六安兰州兰辛凤凰城加利福尼亚北京十堰南京南充南宁南昌南通卡拉奇厦门台中台北台州台湾台湾省合肥周口呼和浩特咸阳哈尔滨商洛嘉兴圣彼得堡坦佩大同大连天津太原威海孟买宁波安庆安康宝鸡宣城宿州巴中常州广元广州库比蒂诺开封张家口张家界徐州德州德里忻州恩施惠州成都扬州新奥尔良无锡昆明晋城曼谷朝阳来宾杭州柳州株洲格兰特县桂林武汉汉中江门沈阳波士顿泰米尔纳德洛杉矶洛阳济南海口淮北淮南深圳温州渭南湖州湘潭漯河潍坊玉林盐城石家庄福冈县福州秦皇岛米兰纽约绍兴绵阳芒廷维尤芜湖芝加哥苏州荆州菏泽萍乡葫芦岛葵涌蚌埠衡水衡阳衢州西宁西安西安市鄠邑区诺沃克贵阳运城邯郸郑州重庆银川镇江长春长沙长治雷恩青岛香港香港特别行政区驻马店齐齐哈尔

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