CN115769551A - 信号检测网络的确定方法和装置 - Google Patents
信号检测网络的确定方法和装置 Download PDFInfo
- Publication number
- CN115769551A CN115769551A CN202180000927.3A CN202180000927A CN115769551A CN 115769551 A CN115769551 A CN 115769551A CN 202180000927 A CN202180000927 A CN 202180000927A CN 115769551 A CN115769551 A CN 115769551A
- Authority
- CN
- China
- Prior art keywords
- sample
- unit
- update
- signal
- signal detection
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 110
- 238000000034 method Methods 0.000 title claims abstract description 66
- 230000006854 communication Effects 0.000 claims abstract description 71
- 238000004891 communication Methods 0.000 claims abstract description 66
- 238000013528 artificial neural network Methods 0.000 claims abstract description 44
- 238000012549 training Methods 0.000 claims abstract description 40
- 239000011159 matrix material Substances 0.000 claims description 97
- 230000001419 dependent effect Effects 0.000 claims description 30
- 230000005540 biological transmission Effects 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 17
- 238000011478 gradient descent method Methods 0.000 claims description 8
- 230000004044 response Effects 0.000 claims description 6
- 238000010586 diagram Methods 0.000 description 23
- 238000012545 processing Methods 0.000 description 14
- 230000006870 function Effects 0.000 description 13
- 230000008569 process Effects 0.000 description 11
- 230000004913 activation Effects 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 7
- 239000013598 vector Substances 0.000 description 7
- 230000009471 action Effects 0.000 description 4
- 230000008859 change Effects 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 230000005236 sound signal Effects 0.000 description 4
- ORILYTVJVMAKLC-UHFFFAOYSA-N Adamantane Natural products C1C(C2)CC3CC1CC2C3 ORILYTVJVMAKLC-UHFFFAOYSA-N 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000013135 deep learning Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000010363 phase shift Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000010200 validation analysis Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/04013—Intelligent reflective surfaces
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/0202—Channel estimation
- H04L25/024—Channel estimation channel estimation algorithms
- H04L25/0254—Channel estimation channel estimation algorithms using neural network algorithms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
- H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
- H04B7/0665—Feed forward of transmit weights to the receiver
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/06—Dc level restoring means; Bias distortion correction ; Decision circuits providing symbol by symbol detection
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Data Mining & Analysis (AREA)
- Molecular Biology (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Health & Medical Sciences (AREA)
- Signal Processing (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Power Engineering (AREA)
- Mobile Radio Communication Systems (AREA)
- Image Analysis (AREA)
- Filters That Use Time-Delay Elements (AREA)
Abstract
本公开涉及信号检测网络的确定方法和装置，方法包括：确定样本发射端和样本接收端通过样本智能反射面IRS进行通信的样本通信参数(S101)；基于样本通信参数构成的训练样本集对初始神经网络进行训练以得到信号检测网络，其中，初始神经网络的输入为样本通信参数，初始神经网络的输出为对样本发射端的发射信号的估计值(S102)。根据本公开，可以基于训练样本集对初始神经网络进行训练以得到信号检测网络，由于神经网络并非线性算法，并不局限于对线性关系进行运算，即使在非线性因素较多的复杂通信环境中，也能有效地用于信号检测，对发射信号得到高精度的估计结果。
Description
PCT国内申请，说明书已公开。
Claims (22)
- PCT国内申请，权利要求书已公开。
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2021/087901 WO2022217609A1 (zh) | 2021-04-16 | 2021-04-16 | 信号检测网络的确定方法和装置 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115769551A true CN115769551A (zh) | 2023-03-07 |
Family
ID=83639445
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202180000927.3A Pending CN115769551A (zh) | 2021-04-16 | 2021-04-16 | 信号检测网络的确定方法和装置 |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US20240137074A1 (zh) |
| EP (1) | EP4325778A4 (zh) |
| CN (1) | CN115769551A (zh) |
| WO (1) | WO2022217609A1 (zh) |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10460747B2 (en) * | 2016-05-10 | 2019-10-29 | Google Llc | Frequency based audio analysis using neural networks |
| KR102192234B1 (ko) * | 2019-10-28 | 2020-12-17 | 성균관대학교 산학협력단 | 지능형 반사 평면을 포함하는 무선 통신 시스템의 통신 방법 및 이를 위한 장치 |
| CN111817768B (zh) * | 2020-06-03 | 2021-06-15 | 北京交通大学 | 一种用于智能反射表面无线通信的信道估计方法 |
| CN112134816B (zh) * | 2020-09-27 | 2022-06-10 | 杭州电子科技大学 | 一种基于智能反射表面的elm-ls联合信道估计方法 |
-
2021
- 2021-04-16 CN CN202180000927.3A patent/CN115769551A/zh active Pending
- 2021-04-16 EP EP21936484.1A patent/EP4325778A4/en active Pending
- 2021-04-16 WO PCT/CN2021/087901 patent/WO2022217609A1/zh active Application Filing
- 2021-04-16 US US18/287,104 patent/US20240137074A1/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| EP4325778A1 (en) | 2024-02-21 |
| EP4325778A4 (en) | 2024-06-12 |
| WO2022217609A1 (zh) | 2022-10-20 |
| US20240137074A1 (en) | 2024-04-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110210535B (zh) | 神经网络训练方法及装置以及图像处理方法及装置 | |
| US10885905B2 (en) | Predicting user actions on ubiquitous devices | |
| US20200387795A1 (en) | Super network training method and device | |
| US20210117726A1 (en) | Method for training image classifying model, server and storage medium | |
| CN110390394B (zh) | 批归一化数据的处理方法及装置、电子设备和存储介质 | |
| KR20210053122A (ko) | 신경망의 훈련 방법, 장치 및 저장 매체 | |
| CN111160448B (zh) | 一种图像分类模型的训练方法及装置 | |
| CN109919300B (zh) | 神经网络训练方法及装置以及图像处理方法及装置 | |
| CN110909815B (zh) | 神经网络训练、图像处理方法、装置及电子设备 | |
| CN112001321A (zh) | 网络训练、行人重识别方法及装置、电子设备和存储介质 | |
| US11337173B2 (en) | Method and device for selecting from a plurality of beams | |
| CN110781934A (zh) | 监督学习、标签预测方法及装置、电子设备和存储介质 | |
| CN110245757B (zh) | 一种图像样本的处理方法及装置、电子设备和存储介质 | |
| CN111553464B (zh) | 基于超网络的图像处理方法、装置及智能设备 | |
| CN109635920B (zh) | 神经网络优化方法及装置、电子设备和存储介质 | |
| CN111931844B (zh) | 图像处理方法及装置、电子设备和存储介质 | |
| CN110867254A (zh) | 预测方法及装置、电子设备和存储介质 | |
| EP4287181A1 (en) | Method and apparatus for training neural network, and method and apparatus for audio processing | |
| CN111523555A (zh) | 图像处理方法及装置、电子设备和存储介质 | |
| CN109447258B (zh) | 神经网络模型的优化方法及装置、电子设备和存储介质 | |
| CN113807498B (zh) | 模型扩展方法及装置、电子设备和存储介质 | |
| CN112445906A (zh) | 一种生成回复消息的方法及装置 | |
| CN110297970B (zh) | 信息推荐模型训练方法及装置 | |
| CN115769551A (zh) | 信号检测网络的确定方法和装置 | |
| CN111062407A (zh) | 图像处理方法及装置、电子设备和存储介质 |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |