Joint synchronization estimation based on genetic algorithm for OFDM/OQAM systems

doi:10.23919/JSEE.2020.000041

Abstract

Abstract:

710051, China Abstract: This paper investigates the problem of synchronization for offset quadrature amplitude modulation based orthogonal frequency division multiplexing (OFDM/OQAM) systems based on the genetic algorithm. In order to increase the spectrum efficiency, an improved preamble structure without guard symbols is derived at first. On this basis, instead of deriving the log likelihood function of power spectral density, joint estimation of the symbol timing offset and carrier frequency offset based on the preamble proposed is formulated into a bivariate optimization problem. After that, an improved genetic algorithm is used to find its global optimum solution. Conclusions can be drawn from simulation results that the proposed method has advantages in the joint estimation of synchronization.

Key words: offset quadrature amplitude modulation based orthogonal frequency division multiplexing (OFDM/OQAM), synchronization, joint estimation, genetic algorithm

Yongjin LIU, Xihong CHEN, Yu ZHAO. Joint synchronization estimation based on genetic algorithm for OFDM/OQAM systems[J]. Journal of Systems Engineering and Electronics, 2020, 31(4): 657-665.

Figures/Tables 15

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References 35

1	LI J, TIAN Y, QIU Y, et al. Principles, technologies and challenges of OQAM-OFDM for 5G applications. Telecommunications Science, 2016, 32 (6): 1571- 1575.
2	LIN H, GHAHA M, SILHAN P. Impact of time and carrier frequency offsets on the FBMC/OQAM modulation scheme. Signal Processing, 2014, 102 (2): 151- 162.
3	FUSCO T, TANDA M. Blind frequency-offset estimation for OFDM/OQAM systems. IEEE Trans. on Signal Processing, 2007, 55 (2): 1828- 1838.
4	MATTERA D, TANDA M. Blind symbol timing and CFO estimation for OFDM/OQAM systems. IEEE Trans. on Wireless Communications, 2013, 12 (1): 268- 277. doi: 10.1109/TWC.2012.121112.120296
5	ZHAO Y, CHEN X H. Blind CFO estimation for OFDM/OQAM systems over doubly-selective fading channels. Journal of Communications, 2015, 10 (5): 301- 307.
6	SINGH P, VASUDEVAN K. Preamble-based synchronization for OFDM/OQAM systems in AWGN channel. Proc. of the 4th International Conference on Signal Processing and Integrated Networks, 2017: 60-65.
7	SINGH P, VASUDEVAN K. Frequency synchronization and channel estimation for OFDM/OQAM signals transmitted through Rayleigh fading channels. Proc. of the 23rd National Conference on Communications, 2017. DOI: 10.1109/NCC.2017.8077048.
8	QIAN X W, DENG Y S, DENG H G, et al. Synchronization algorithm for OFDM/OQAM systems based on zero autocorrelation code. IET Communication, 2018, 12 (3): 283- 289. doi: 10.1049/iet-com.2017.0231
9	HU S, WU G, YANG G, et al. Effectiveness of preamble based channel estimation for OFDM/OQAM system. Proc. of the International Conference on Networks Security, Wireless Communications and Trusted Computing, 2009, 1: 34-37.
10	CUI W J, QU D M, JIANG T. Code auxiliary pilots for channel estimation in FBMC-OQAM systems. IEEE Trans. on Vehi-cular Technology, 2016, 65 (5): 2936- 2946. doi: 10.1109/TVT.2015.2448659
11	CHENG G B, XIAO Y, HU S, et al. Interference cancellation aided channel estimation for OFDM/OQAM system. Science China (Information Sciences), 2013, 56 (12): 1- 8.
12	NAZARAHARI M, KHANMIRZA E, DOOSTIE S. Multi-objective multi-robot path planning in continuous environment using an enhanced genetic algorithm. Expert Systems with Applications, 2019, 115, 106- 120. doi: 10.1016/j.eswa.2018.08.008
13	RAJABI M, SHAFIEI F. QSAR models for predicting aquatic toxicity of esters using genetic algorithm-multiple linear regression methods and molecular descriptors. Combinatorial Chemistry & High Throughput Screening, 2019, 22 (5): 317- 325.
14	FANG Y Q, XIAO X, GE J W. Cloud computing task scheduling algorithm based on improved genetic algorithm. Proc. of the 3rd Information Technology, Networking, Electronic and Automation Control Conference, 2019. DOI: 10.1109/ITNEC.2019.8728996.
15	QU X Z, LIU G P, DUAN S Y, et al. Multi-objective robust optimization method for the modified epoxy resin sheet molding compounds of the impeller. Journal of Computational Design and Engineering, 2016, 3 (3): 179- 190.
16	MARANDI R A, HU M, CHOWDHURY S. A system of system approach for smart complex energy system operation decision. Proc. of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2015. DOI: 10.1115/DETC2015-47415.
17	JAFARI-MARANDI R, HU M Q, OMITAOMU O A. A distributed decision framework for building clusters with different heterogeneity settings. Applied Energy, 2016, 165, 393- 404. doi: 10.1016/j.apenergy.2015.12.088
18	ZHAO J, CHEN J Q, XU L. RBF-GA: an adaptive radial basis function metamodeling with genetic algorithm for structural reliability analysis. Reliability Engineering and System Safety, 2019, 189, 42- 57. doi: 10.1016/j.ress.2019.03.005
19	SONG W, HUANG C M. Mining high utility item sets using bio-inspired algorithms: a diverse optimal value framework. IEEE Access, 2018, 6 (1): 19568- 19582.
20	KURI-MORALES A, BOBADILLA E A. The best genetic algorithm I: a comparative study of structurally different genetic algorithms. Proc. of the 12th Mexican International Conference on Artificial Intelligence, 2013: 1-15.
21	DOLDGERG D E. Genetic algorithms in search, optimization & machine learning. India: Pearson Education Pvt. Ltd, 2003.
22	KAKANDIKAR G M, NANDEDKAR V M. Prediction and optimization of thinning in automotive sealing cover using genetic algorithm. Journal of Computational Design and Engineering, 2016, 3 (1): 63- 70.
23	PODLENA J R, HENDTLASS T. An accelerated genetic algorithm. Applied Intelligence, 1998, 8 (2): 103- 111.
24	SEYYED M H, SAMANE S M. Pruned genetic algorithm. Lecture Notes in Computer Science, 2010, 6320 (1): 193- 200.
25	VIHOLAINEN A, IHALAINEN T, STITZ H, et al. Prototype filter design for filter bank based multicarrier transmission. Proc. of the 17th European Signal Processing Conference, 2009, 17: 1359-1363.
26	LELE C, LEGOUABLE R, SIOHAN P. Channel estimation with scattered pilots in OFDM/OQAM. Proc. of the IEEE 9th Workshop on Signal Processing Advances in Wireless Communications, 2008: 286-290.
27	SIOHAN P, SICLET C, LACAILLE N. Analysis and design of OFDM/OQAM systems based on filterbank theory. IEEE Trans. on Signal Processing, 2002, 50(5): 1170-1183.
28	BELLANGER M. Specification and design of a prototype filter for filter bank based multicarrier transmissions. Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2001: 2417-2420.
29	LELE C, SIOHAN P, LEGOUABLE R, et al. Preamble-based channel estimation techniques for OFDM/OQAM over the powerline. Proc. of the IEEE International Symposium on Power Line Communications and Its Applications, 2007: 59-64.
30	VIHOLAINEN A, IHALAINEN T, STITZ T, et al. Prototype filter design for filter bank based multicarrier transmission. Proc. of the 17th European Signal Processing Conference, 2009: 1359-1363.
31	FLOCH B L, ALARD M, BERROU C. Coded orthogonal frequency division multiplex. Proceedings of the IEEE, 1995, 83 (6): 982- 996. doi: 10.1109/5.387096
32	KAY S M. Fundamentals of stochastic signal processing: estimation theory. Englewood Cliffs: Prentice-Hall, 1993.
33	BAGHAKI A, CHAMPAGNE B. Joint carrier frequency offset, sampling time offset and channel estimation for OFDM-OQAM systems. Proc. of the IEEE Wireless Communications and Networking Conference, 2018. DOI: 10.1109/WCNC.2018.8377020.
34	International Telecommunication Union. Guidelines for evalu-ation of radio transmission technologies for IMT-2000: Recommendation ITU-R M. 1225. 1997. https://www.itu.int/rec/R-REC-M.1225-0-199702-1/en.
35	XUE L S, QIU S F, WU P, et al. Improved data-aided joint carrier frequency offset and time offset estimation method for OFDM/OQAM system. Proc. of the IEEE 18th International Conference on Communication Technology, 2018. DOI: 10.1109/ICCT.2018.8600048.

Parameter	Value
Subcarrier spacing/kHz	$\nu _0 = 10.94$
Filter length	$L_g = 4M+1$
Channel coding	Convolution coding
Channel mode	ITU Vehicular B [34]
Channel path delay/$μ$s	[0, 1.6, 3.5, 5.0]
Frame length	20 OQAM symbols

Parameter	Value
Number of independent
Monte Carlo trails	$10^4$
Bandwidth/MHz	$B = \dfrac{1}{T_s } = 11.2$
Subcarrier	$M \in \{ 1~024, 2~048, 4~096\}$
Overlap parameter	$k = 4$
The overall interval length	10$M$
Channel mode	ITU Vehicular A and ITU Vehicular B [34]

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