Volume 11 Issue 4
Aug.  2022
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YAO Yu, LI Zeqing, FAN Wen, et al. Spectrally compatible waveform design for MIMO radar based on ABSUM method[J]. Journal of Radars, 2022, 11(4): 543–556. doi: 10.12000/JR22138
Citation: YAO Yu, LI Zeqing, FAN Wen, et al. Spectrally compatible waveform design for MIMO radar based on ABSUM method[J]. Journal of Radars, 2022, 11(4): 543–556. doi: 10.12000/JR22138
shu

Spectrally Compatible Waveform Design for MIMO Radar Based on ABSUM Method

DOI: 10.12000/JR22138 CSTR: 32380.14.JR22138
  • 1.

    School of Information Engineering, East China Jiaotong University, Nanchang 330031, China

  • 2.

    The 54th Research Institute of CETC, Shijiazhuang 050081, China

  • 3.

    School of Computer and Control Engineering, Yantai University, Yantai 264000, China

  • 4.

    School of Information Science and Engineering, Southeast University, Nanjing 210096, China

Funds:  The National Natural Science Foundation of China (61761019)
More Information
  • Corresponding author: YAO Yu, yaoyu@ecjtu.edu.cn
  • Received Date: 2022-07-07
  • Rev Recd Date: 2022-08-15
    • Available Online: 2022-08-16
  • Publish Date: 2022-08-26
    Abstract
  • This paper proposes a joint design method to optimize the transmit waveforms and receive filter bank in Multiple-Input Multiple-Output (MIMO) structure ensuring spectral compatibility with the surrounding communication service network. Considering the signal-dependent clutter interference, under the constraints of transmission energy, waveform similarity and spectrum compatibility, the formulated optimization problem of the output Signal-to-Interference-plus-Noise Ratio (SINR) maximization is NP-hard. Toward this end, an auxiliary variable is first introduced to modify the original problem, and then a primal-dual algorithm based on the Alternating Block Successive Upper-bound Minimization (ABSUM) method is developed to deal with the resulting problem. Furthermore, an interior point method is used to handle the quadratic programming problem involved in each update procedure of the devised ABSUM method. Finally, numerical simulations are performed to demonstrate the superiority of the proposed method over state-of-the-art methods in terms of the optimized SINR, beampattern, computational complexity and ambiguity properties.

     

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    • References(39)
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    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 6.1 %其他: 6.1 %其他: 1.9 %其他: 1.9 %Absecon: 0.3 %Absecon: 0.3 %Central District: 0.1 %Central District: 0.1 %China: 0.1 %China: 0.1 %Matawan: 0.2 %Matawan: 0.2 %[]: 0.7 %[]: 0.7 %上海: 0.6 %上海: 0.6 %东京都: 0.1 %东京都: 0.1 %东莞: 0.1 %东莞: 0.1 %中卫: 0.1 %中卫: 0.1 %临汾: 0.1 %临汾: 0.1 %丹东: 0.1 %丹东: 0.1 %九江: 0.1 %九江: 0.1 %亚特兰大: 0.2 %亚特兰大: 0.2 %休斯敦: 0.2 %休斯敦: 0.2 %伦敦: 0.1 %伦敦: 0.1 %佛山: 0.3 %佛山: 0.3 %信阳: 0.1 %信阳: 0.1 %兰州: 0.2 %兰州: 0.2 %兰辛: 0.1 %兰辛: 0.1 %内江: 0.1 %内江: 0.1 %凤凰城: 0.2 %凤凰城: 0.2 %加利福尼亚州: 0.1 %加利福尼亚州: 0.1 %北京: 6.5 %北京: 6.5 %十堰: 0.1 %十堰: 0.1 %南京: 1.3 %南京: 1.3 %南充: 0.1 %南充: 0.1 %南宁: 0.1 %南宁: 0.1 %南昌: 0.7 %南昌: 0.7 %南通: 0.1 %南通: 0.1 %南阳: 0.1 %南阳: 0.1 %卡拉奇: 0.1 %卡拉奇: 0.1 %台北: 0.1 %台北: 0.1 %台州: 0.2 %台州: 0.2 %合肥: 0.4 %合肥: 0.4 %呼和浩特: 0.2 %呼和浩特: 0.2 %哈尔滨: 0.9 %哈尔滨: 0.9 %哥伦布: 0.1 %哥伦布: 0.1 %商洛: 0.1 %商洛: 0.1 %嘉兴: 0.1 %嘉兴: 0.1 %圣安东尼奥: 0.4 %圣安东尼奥: 0.4 %圣彼得堡: 0.1 %圣彼得堡: 0.1 %夏尔迦: 0.2 %夏尔迦: 0.2 %大连: 0.2 %大连: 0.2 %天津: 0.1 %天津: 0.1 %太原: 0.2 %太原: 0.2 %威海: 0.2 %威海: 0.2 %宁波: 0.1 %宁波: 0.1 %安康: 0.2 %安康: 0.2 %宜春: 0.1 %宜春: 0.1 %宣城: 0.1 %宣城: 0.1 %宿州: 0.1 %宿州: 0.1 %巴黎: 0.1 %巴黎: 0.1 %帕西帕尼－特洛伊希尔斯: 0.1 %帕西帕尼－特洛伊希尔斯: 0.1 %平顶山: 0.1 %平顶山: 0.1 %广州: 0.8 %广州: 0.8 %库比蒂诺: 0.6 %库比蒂诺: 0.6 %开封: 0.1 %开封: 0.1 %张家口: 1.0 %张家口: 1.0 %德里: 0.2 %德里: 0.2 %忻州: 0.1 %忻州: 0.1 %惠州: 0.3 %惠州: 0.3 %成都: 1.0 %成都: 1.0 %扬州: 0.1 %扬州: 0.1 %新竹: 0.1 %新竹: 0.1 %无锡: 0.1 %无锡: 0.1 %昆明: 0.1 %昆明: 0.1 %晋城: 0.1 %晋城: 0.1 %朝阳: 0.1 %朝阳: 0.1 %杭州: 0.3 %杭州: 0.3 %桂林: 0.1 %桂林: 0.1 %梅州: 0.3 %梅州: 0.3 %武汉: 0.3 %武汉: 0.3 %沈阳: 0.2 %沈阳: 0.2 %沧州: 0.1 %沧州: 0.1 %泰安: 0.1 %泰安: 0.1 %泰州: 0.1 %泰州: 0.1 %泰米尔纳德: 0.2 %泰米尔纳德: 0.2 %洛阳: 0.1 %洛阳: 0.1 %济南: 0.2 %济南: 0.2 %海口: 0.1 %海口: 0.1 %淄博: 0.2 %淄博: 0.2 %淮南: 0.1 %淮南: 0.1 %淮安: 0.1 %淮安: 0.1 %深圳: 0.4 %深圳: 0.4 %湘潭: 0.1 %湘潭: 0.1 %漯河: 0.4 %漯河: 0.4 %潍坊: 0.1 %潍坊: 0.1 %濮阳: 0.1 %濮阳: 0.1 %烟台: 0.2 %烟台: 0.2 %焦作: 0.1 %焦作: 0.1 %石家庄: 0.9 %石家庄: 0.9 %福州: 0.3 %福州: 0.3 %秦皇岛: 0.3 %秦皇岛: 0.3 %绍兴: 0.1 %绍兴: 0.1 %绵阳: 0.3 %绵阳: 0.3 %罗奥尔凯埃: 0.2 %罗奥尔凯埃: 0.2 %芒廷维尤: 23.5 %芒廷维尤: 23.5 %芝加哥: 0.1 %芝加哥: 0.1 %莫斯科: 0.1 %莫斯科: 0.1 %萍乡: 0.1 %萍乡: 0.1 %葫芦岛: 0.1 %葫芦岛: 0.1 %衡水: 0.6 %衡水: 0.6 %衡阳: 0.1 %衡阳: 0.1 %西宁: 34.6 %西宁: 34.6 %西安: 2.1 %西安: 2.1 %诺沃克: 0.2 %诺沃克: 0.2 %贵阳: 0.2 %贵阳: 0.2 %赣州: 0.3 %赣州: 0.3 %达州: 0.1 %达州: 0.1 %达拉斯: 0.1 %达拉斯: 0.1 %运城: 0.8 %运城: 0.8 %邯郸: 0.1 %邯郸: 0.1 %郑州: 0.4 %郑州: 0.4 %重庆: 0.3 %重庆: 0.3 %铁岭: 0.2 %铁岭: 0.2 %银川: 0.4 %银川: 0.4 %镇江: 0.1 %镇江: 0.1 %长沙: 0.3 %长沙: 0.3 %长治: 0.1 %长治: 0.1 %阳泉: 0.1 %阳泉: 0.1 %青岛: 0.1 %青岛: 0.1 %香港特别行政区: 0.1 %香港特别行政区: 0.1 %黄冈: 0.1 %黄冈: 0.1 %齐齐哈尔: 0.1 %齐齐哈尔: 0.1 %其他其他AbseconCentral DistrictChinaMatawan[]上海东京都东莞中卫临汾丹东九江亚特兰大休斯敦伦敦佛山信阳兰州兰辛内江凤凰城加利福尼亚州北京十堰南京南充南宁南昌南通南阳卡拉奇台北台州合肥呼和浩特哈尔滨哥伦布商洛嘉兴圣安东尼奥圣彼得堡夏尔迦大连天津太原威海宁波安康宜春宣城宿州巴黎帕西帕尼－特洛伊希尔斯平顶山广州库比蒂诺开封张家口德里忻州惠州成都扬州新竹无锡昆明晋城朝阳杭州桂林梅州武汉沈阳沧州泰安泰州泰米尔纳德洛阳济南海口淄博淮南淮安深圳湘潭漯河潍坊濮阳烟台焦作石家庄福州秦皇岛绍兴绵阳罗奥尔凯埃芒廷维尤芝加哥莫斯科萍乡葫芦岛衡水衡阳西宁西安诺沃克贵阳赣州达州达拉斯运城邯郸郑州重庆铁岭银川镇江长沙长治阳泉青岛香港特别行政区黄冈齐齐哈尔

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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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