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Data Processing Method based on FPGA Input Block Remapping in Radar Countermeasures
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Xiaoqin XUE1, 2, Gang MENG1, 2, Yang CHEN1, Hongbo LI3, Jian ZHAO3
Missiles and Space Vehicles | 2024, 47(2) : 86 - 90
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Missiles and Space Vehicles | 2024, 47(2): 86-90
Test Control and Communication
Data Processing Method based on FPGA Input Block Remapping in Radar Countermeasures
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Xiaoqin XUE1, 2, Gang MENG1, 2, Yang CHEN1, Hongbo LI3, Jian ZHAO3
Affiliations
  • 1Beijing Institute of Space Long March Vehicle,Beijing,100076
  • 2National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics,Beijing,100076
  • 3Harbin Institute of Technology,Harbin,150006
Published: 2024-04-25 doi: 10.7654/j.issn.2097-1974.20240214
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In radar countermeasures, the jammer detects the radar signal, then the signal is sampled by AD and input to FPGA for processing and generating interference signal. When using the FFT IP core officially provided by the FPGA platform Xilinx to perform FFT processing on the data output by the high-speed ADC, data preprocessing of "parallel-serial" is required, which greatly slows down the FFT processing speed. At the same time, the internal resources of FPGA is not maximized. An data processing method based on FPGA input block remapping is proposed. This method uses the data input remapping module to optimize the input data into a parallel block data stream format. Then the FFT butterfly networks process the input data into blocks to obtain the discrete Fourier transform data. Finally, parallel data are output. Experimental results show that this method can effectively save FPGA computing time, improve radar data processing speed, optimize the utilization of FPGA internal resources, and has the characteristics of good real-time performance and high flexibility.

radar countermeasures  /  FPGA  /  block remapping  /  data processing  /  butterfly networks
Xiaoqin XUE, Gang MENG, Yang CHEN, Hongbo LI, Jian ZHAO. Data Processing Method based on FPGA Input Block Remapping in Radar Countermeasures[J]. Missiles and Space Vehicles, 2024 , 47 (2) : 86 -90 . DOI: 10.7654/j.issn.2097-1974.20240214
Year 2024 volume 47 Issue 2
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Article Info
doi: 10.7654/j.issn.2097-1974.20240214
  • Receive Date:2021-11-23
  • Online Date:2025-07-04
  • Published:2024-04-25
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  • Received:2021-11-23
  • Revised:2022-07-05
Affiliations
    1Beijing Institute of Space Long March Vehicle,Beijing,100076
    2National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics,Beijing,100076
    3Harbin Institute of Technology,Harbin,150006
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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