ResNet使能的OTFS联合信道估计和信号检测

doi:10.19665/j.issn1001-2400.2023.03.002

Abstract

Abstract:

Orthogonal time frequency space (OTFS) modulation can realize reliable broadband communication at a high doppler frequency offset,which is one of the potential application technologies in the 6G communication-sensing-computing scenario.In order to solve the problems of high complexity and limited performance of the receiver in this system,a joint channel estimation and signal detection algorithm based on modified ResNet is proposed,with the transmission symbol information recovered directly without obtaining explicit channel information.According to the stability of the delay doppler domain channel,deep learning technology is introduced into the receiver design,and a lightweight residual neural network model that can fully extract the signal features is designed by using the embedded pilot data frame structure.It can directly fit the input-output relationship of delay doppler domain signals to achieve implicit channel estimation and complete signal detection.In the joint design,the optimal network model is obtained by off-line training with the data collected in the actual communication link,which can be used for on-line detection.Meanwhile,the joint optimization of channel estimation and signal detection is realized with the help of an error back propagation mechanism and gradient descent criterion,which effectively improves the communication performance.Simulation results show that the proposed scheme has better robustness and good generalization compared with the traditional receiver algorithm,which not only reduces the algorithm complexity,but also improves the BER performance by about 2dB.

Key words: orthogonal time frequency space modulation, deep learning, channel estimation, signal detection

CLC Number:

TN911

ZHOU Shuo,ZHOU Yiqing,ZHANG Chong,XING Wang. ResNet enabled joint channel estimation and signal detection for OTFS[J].Journal of Xidian University, 2023, 50(3): 19-30.

Figures/Tables 16

References 34

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参数名称	参数值
载波频率/GHz	5
子载波宽度/kHz	30
最大速度/(km·h^-1)	500
OTFS数据帧尺寸	(M,N)=(8,8)
调制方式	BPSK
时延抽头	[0,1]
多普勒抽头	[0,1]

参数名称	参数值
损失函数	MSE
优化器	NAdam,SGDM
学习率	0.001
小批量数据尺寸/样本	8 000
训练集数量/样本	1 000 000
迭代轮次/轮	300

ResNet enabled joint channel estimation and signal detection for OTFS

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