├── .gitignore
├── LICENSE
├── LMS-based adaptive equalizer
├── LICENSE
├── LMS-based adaptive equalizer
│ ├── Main_LMS algorithm-based adaptive equalizer.gvi
│ ├── Notification.vi
│ └── sub function
│ │ ├── FilterCPLX.gvi
│ │ ├── sub_Constellation.gvi
│ │ ├── sub_Convert bit to array.gvi
│ │ ├── sub_EVM_MER.gvi
│ │ ├── sub_FIFO of bit.gvi
│ │ ├── sub_M-QAM demapper.gvi
│ │ ├── sub_M-QAM mapper.gvi
│ │ ├── sub_M-QAM transmitter.gvi
│ │ ├── sub_Merging Para.gvi
│ │ ├── sub_Update.gvi
│ │ ├── sub_Valid.gvi
│ │ ├── sub_algorithm_1.gvi
│ │ ├── sub_apply filter.gvi
│ │ ├── sub_equal wave.gvi
│ │ ├── sub_error_clustering.gvi
│ │ └── sub_gain compen.gvi
├── README.md
└── gitattributes
├── README.md
└── gitattributes
/.gitignore:
--------------------------------------------------------------------------------
1 | # Libraries
2 | *.lvlibp
3 | *.llb
4 |
5 | # Shared objects (inc. Windows DLLs)
6 | *.dll
7 | *.so
8 | *.so.*
9 | *.dylib
10 |
11 | # Executables
12 | *.exe
13 |
14 | # Metadata
15 | *.aliases
16 | *.lvlps
17 | .cache/
18 |
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
1 | MIT License
2 |
3 | Copyright (c) 2022 FIVEYOUNGWOO
4 |
5 | Permission is hereby granted, free of charge, to any person obtaining a copy
6 | of this software and associated documentation files (the "Software"), to deal
7 | in the Software without restriction, including without limitation the rights
8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 |
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 |
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 |
--------------------------------------------------------------------------------
/LMS-based adaptive equalizer/LICENSE:
--------------------------------------------------------------------------------
1 | MIT License
2 |
3 | Copyright (c) 2022 FIVEYOUNGWOO
4 |
5 | Permission is hereby granted, free of charge, to any person obtaining a copy
6 | of this software and associated documentation files (the "Software"), to deal
7 | in the Software without restriction, including without limitation the rights
8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 |
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 |
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 |
--------------------------------------------------------------------------------
/LMS-based adaptive equalizer/LMS-based adaptive equalizer/Notification.vi:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/FIVEYOUNGWOO/LMS-Algorithm-Based-Adaptive-Equalizer-For-RF-Simulator/157139edccddfa6096d8c0a3475ac833854a2baf/LMS-based adaptive equalizer/LMS-based adaptive equalizer/Notification.vi
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/LMS-based adaptive equalizer/LMS-based adaptive equalizer/sub function/FilterCPLX.gvi:
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/LMS-based adaptive equalizer/LMS-based adaptive equalizer/sub function/sub_FIFO of bit.gvi:
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/LMS-based adaptive equalizer/LMS-based adaptive equalizer/sub function/sub_M-QAM demapper.gvi:
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/LMS-based adaptive equalizer/LMS-based adaptive equalizer/sub function/sub_M-QAM mapper.gvi:
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/LMS-based adaptive equalizer/LMS-based adaptive equalizer/sub function/sub_Merging Para.gvi:
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/LMS-based adaptive equalizer/LMS-based adaptive equalizer/sub function/sub_error_clustering.gvi:
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/LMS-based adaptive equalizer/LMS-based adaptive equalizer/sub function/sub_gain compen.gvi:
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/LMS-based adaptive equalizer/README.md:
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1 | ## Adaptive-LMS-Equalizer
2 |
3 | Least Mean Squares (LMS) algorithm-based equalizer for Inter-Symbol Interference (ISI).
4 |
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/LMS-based adaptive equalizer/gitattributes:
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1 | # `.gitattributes` file which reclassifies files as LabVIEW so Github's Linguist can show code contents by language:
2 | *.vi linguist-language=LabVIEW
3 | *.vim linguist-language=LabVIEW
4 | *.lvclass linguist-language=LabVIEW
5 | *.ctl linguist-language=LabVIEW
6 | *.xctl linguist-language=LabVIEW
7 | *.xnode linguist-language=LabVIEW
--------------------------------------------------------------------------------
/README.md:
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1 | ## LMS-Algorithm-Based-Adaptive-Equalizer-For-RF-Simulator
2 |
3 | In this research, we propose an adaptive symbol equalizer based on the least mean squares (LMS) algorithm to effectively handle inter-symbol interference arising in the modulation and demodulation processes of a software-defined radio (SDR)-based digital communication system.
4 |
5 | The proposed algorithm applies training bits, recycled from sequence code bits according to existing modulation types like M-QAM, in the modulation and demodulation process. It optimizes based on minimizing errors through an iterative process involving the input training bits and the received bits.
6 |
7 | The adaptive equalizer can robustly and adaptively optimize the shift and drift of symbols that occur in the M-QAM modulation and demodulation process.
8 |
9 | The RF simulator demonstration video for this can be viewed on the YouTube channel: [LMS-based adaptive equalizer (Simulator based on NI)](https://www.youtube.com/watch?v=hYW4VzivGNI).
10 |
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/gitattributes:
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1 | # `.gitattributes` file which reclassifies files as LabVIEW so Github's Linguist can show code contents by language:
2 | *.vi linguist-language=LabVIEW
3 | *.vim linguist-language=LabVIEW
4 | *.lvclass linguist-language=LabVIEW
5 | *.ctl linguist-language=LabVIEW
6 | *.xctl linguist-language=LabVIEW
7 | *.xnode linguist-language=LabVIEW
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