The Stable and Anti-Jamming Algorithm for Synchronization of Hybrid Spread Spectrum System

Subject Areas : Renewable energy

Hamed Ahmadian Yazdi ¹ , Mohammad Ali Pourmina ² , Afrooz Haghbin ³

1 - Department of Mechanical, Electrical and Computer Engineering- Science and Research Branch, Islamic Azad University, Tehran, Iran
2 - Department of Mechanical, Electrical and Computer Engineering- Science and Research Branch, Islamic Azad University, Tehran, Iran
3 - Department of Mechanical, Electrical and Computer Engineering- Science and Research Branch, Islamic Azad University, Tehran, Iran

Received: 2021-01-02 Accepted : 2021-03-22 Published : 2022-01-21

Keywords: synchronization, constant false-alarm rate, hybrid spread spectrum,

Abstract :

Hybrid Spread Spectrum (HSS) link is a suitable and robust physical layer structure for the tactical ad-hoc network. In this link, synchronization consists of two stages: Frequency hopping pattern synchronization and direct sequence code synchronization. In the presence of jamming, the use of the conventional fixed-threshold detection method increases the false alarm rate. Increasing the false alarm rate increases synchronization time in the HSS link. To solve this problem, the noise and jamming power estimator block is usually used at the receiver. Threshold value is adjusted instantaneously based on the estimated power in this method. This method has a high computational load and hardware complexity, and error in estimating noise and jamming power leads to an increase in the false alarm rate. In this paper, the proposed synchronization algorithm of the hybrid spread spectrum system is presented as an adaptive threshold, based on the statistical characteristics of the received signal. In the proposed algorithm, the threshold value is changed adaptively so that the false alarm rate remains constant at a minimum value. The theoretical analysis and simulation results show that the proposed algorithm can improve the detection probability and false alarm rate and reduce the synchronization time in the presence of a jamming compared to the conventional fixed threshold method.

References:

[1] G. Zheng, Y. Yao, D. Wang,  J. Tian, "Study of an application of hybrid spread spectrum technology in satellite communication", Proceeding of the IEEE/CISCE, pp. 49-54, Kuala Lumpur, Malaysia, July 2020 (doi: 10.1109/CISCE50729.2020.00016).

[2] S. Luo, S. Zhang, S. Ke, S. Wang, X. Bu, J. An, "Optimum combining for coherent FFH/DS spread spectrum receivers in the presence of multi-tone jammer", IEEE Access, vol. 8, pp. 53097-53106, March 2020 (doi: 10.1109/ACCESS.2020.2980858).

[3] F. Hassan, S. Ajmal, Z. Khan, and U. Hassan "Analysis on multiple access capability of hybrid spread spectrum system with optimal sequences- A review of performance parameters trade-off", International Journal of Research Publications, vol. 12, no. 1, Sept. 2018.

[4] S. Benkrinah, M. Benslama, "Adaptive double-dwell code acquisition scheme of PN sequences using smart-antenna and automatic censoring techniques", Wireless Personal Communications, vol. 98, no. 2, pp. 2187-2210, 2018 (doi: 10.1007/s11277-017-4969-6).

[5] J. W.Kim, B. Lim, Y. C. Ko, "A rapid serial timing acquisition algorithm for hybrid DS/FFH packet radio communication", IEEE Trans. on Aerospace and Electronic Systems, Early Access, 2020 (doi: 10.110­9/TA­ES.2020.3038246).

[6] S. Lee, S. Kim, M. Seo, D. Har, "Synchronization of frequency hopping by LSTM network for satellite communication system", IEEE Communications Letters, vol. 23, no. 11, pp.2054-2058, Aug. 2019 (doi: 10.11­09/LCOMM.2019.2936019).

[7] X. Wen, B. Yang, G. Zou, "Fast acquisition for DS/FH spread spectrum signals by using folded sampling digital receiver", Information Science and Cloud Computing, pp. 1-9. 2018 (doi: 10.22323/1.300.0047).

[8] Y. Shen , Y. Wang, X. Yu, S. Wu, "Whole-region hybrid search algorithm for DSSS signal acquisition", Wire­less Personal Communications, vol. 95, no. 2, pp.1265-1284, July 2017 (doi: 10.1007/s11277-016-3828-1).

[9] A. Coluccia, A. Fascista, G. Ricci, "CFAR feature plane: a novel framework for the analysis and design of radar detectors", IEEE Trans. on Signal Processing, vol. 68, pp. 3903-3916, June 2020 (doi: 10.1109/T­S­P­.2020.3000952).

[10] M. Baadeche, F. Soltani, F. Gini, "Performance comparison of mean-level CFAR detectors inhomogen­eous and non-homogeneous weibull clutter for MIMO radars", Signal, Image and Video Processing, vol. 13, no. 8, pp. 1677-1684, Nov 2019 (doi: 10.1007/s11760-019-01502-8).

[11] A. Jouini, A. Maali, , M. Benssalah, A. Nasrallah, G. Baudoin, M. H. Hamadouche, "Adaptive acquisition of PN code using automatic censoring CFAR outlier detection in multipath fading mobile channels", Proceeding of the IEEE/CCSSP, pp. 2-7, El Oued, Algeria, May 2020 (doi: 10.1109/CCS­SP49278­.2020­.9151589).

[12] A. Kumar, P. Thakur, S.Pandit, G. Singh, "Analysis of optimal threshold selection for spectrum sensing in a cognitive radio network: an energy detection approach", Wireless Networks, vol. 25, pp. 3917–3931, Jan. 2019 (doi: 10.1007/s11276-018-01927-y).

[13] S. Benkrinah, M. Benslama, "Adaptive double-dwell code acquisition scheme of PN sequences using smart-antenna and automatic censoring techniques", Wireless Personal Communications, vol. 98, no. 2, pp. 2187- 2210, Jan. 2018 (doi: 10.1007/s11277-017-4969-6).

[14] H. Guo, C. Min, X. Shen, K. Li, "Optimal parameter estimation for high dynamic acquisition of non-coherent DSSS", Signal and Information Processing, Networking and Computers, pp. 535-542, Dec. 2021 (doi: 10.1007/978-981-33-4102-9_65).

[15] J. Iinatti, "On the threshold setting principles in code acquisition of DS-SS signals", IEEE Journal on Selected Areas in Communications, vol. 18, no. 1, pp. 62-72, Jan. 2000 (doi: 10.1109/49.821719).

[16] Z. Deng, B. Jia, S. Tang, X. Fu, "A fine fast acquisition scheme for a communication and navigation fusion system", Applied Sciences, vol. 10, no. 10, May 2020 (doi: 10.3390/app10103434).