Chirp Signal Based Timing Offset Estimation for GFDM Systems

被引:0
作者
Manpreet Kaur
Hem Dutt Joshi
机构
[1] Thapar Institute of Engineering and Technology,Department of Electronics and Communication Engineering
来源
Wireless Personal Communications | 2023年 / 132卷
关键词
Timing synchronization; GFDM; Chirp signal; Probability of timing failure;
D O I
暂无
中图分类号
学科分类号
摘要
Generalized frequency division multiplexing (GFDM) is a block-based multicarrier modulation scheme that is a potential candidate for the fifth generation (5G) and beyond wireless communication systems. A critical factor in enhancing the performance of GFDM is achieving precise synchronization. To that end, a new timing synchronization algorithm that utilizes cross-correlation and the sliding window algorithm is presented in this article. The algorithm uses a training symbol based on a chirp sequence. The simulation results of the proposed estimator and conventional CP based approach are analyzed under indoor office scenarios and urban macro cells scenarios for orthogonal frequency division multiplexing and GFDM. The performance of the proposed method is better for GFDM in terms of the three parameters: mean of the timing offset, mean square error of the timing offset, and probability of timing failure. For the proposed algorithm, the results show that the probability of timing failure decreases with increasing signal to noise ratio in the case of the GFDM system.
引用
收藏
页码:1781 / 1796
页数:15
相关论文
共 86 条
[1]  
Bojadjievski S(2021)T. 5g emerging and mission critical framework with ultra-reliable low delay Wireless Personal Communications 119 2561-2575
[2]  
Kalendar M(2020)Iterative detection based on consensus alternating direction method of multipliers in massive machine-type communications Wireless Personal Communications 110 2253-2264
[3]  
Shuminoski M(2018)Spectrum for 5g services Wireless Personal Communications 100 539-555
[4]  
Kim J(2016)On the waveform for 5g IEEE Communications Magazine 54 74-80
[5]  
Lee D(2017)The new 5g radio access technology IEEE Communications Standards Magazine 1 24-30
[6]  
Park PS(2017)Modulation and multiple access for 5g network IEEE Communications Surveys & Tutorials 20 629-646
[7]  
Tripathi R(2019)5g waveforms for iot applications IEEE Communications Surveys & Tutorials 21 2554-2567
[8]  
Prasad X(2021)Performance evaluation of 5g modulation techniques Wireless Personal Communications 121 2461-2476
[9]  
Zhang L(2014)Generalized frequency division multiplexing for 5th generation cellular networks IEEE Transactions on Communications 62 3045-3061
[10]  
Chen J(2020)Comparative study on implementation performance analysis of simulink models of cognitive radio based GFDM and UFMC techniques for 5g wireless communication Wireless Personal Communications 126 1-31