Capture method of direct sequence spread spectrum signal based on cascade stochastic resonance

doi:10.11772/j.issn.1001-9081.2018030514

Journal of Computer Applications ›› 2018, Vol. 38 ›› Issue (7): 2020-2023.DOI: 10.11772/j.issn.1001-9081.2018030514

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Capture method of direct sequence spread spectrum signal based on cascade stochastic resonance

WANG Aizhen¹, HU Jiao², HAN Hangcheng²

1. Electronics Department, Xinzhou Teachers University, Xinzhou Shanxi 034000, China;
2. School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

Received:2018-03-13 Revised:2018-04-28 Online:2018-07-10 Published:2018-07-12
Supported by:
This work is partially supported by the Shanxi Province Educational Science Planning Topic (GH-17060).

基于级联随机共振的直接序列扩频信号的捕获方法

王爱珍¹, 胡姣², 韩航程²

1. 忻州师范学院电子系, 山西忻州 034000;
2. 北京理工大学信息与电子学院, 北京 100081

通讯作者: 胡姣
作者简介:王爱珍(1976-),女,山西静乐人,副教授,硕士,主要研究方向:通信信号处理、计算机网络安全、宽带无线通信;胡姣(1995-),女,湖南邵阳人,硕士研究生,主要研究方向:直接序列扩频通信系统;韩航程(1985-),男,山西文水人,博士,主要研究方向:数据链与抗干扰技术。
基金资助:
山西省教育科学规划课题（GH-17060）。

Abstract

Abstract: In order to solve the influence of low Signal-to-Noise Ratio (SNR) and large frequency offset on signal acquisition in the capture of direct sequence spread spectrum signal, a new capture method of direct sequence spread spectrum signal based on cascade stochastic resonance was proposed. Firstly, the input signal was filtered by a partial matched filter, when the local pseudo code and the pseudo code phase of the input signal were aligned, only the residual Doppler frequency offset remained in the output signal, and then the signal was processed by the cascaded stochastic resonance to increase the SNR of the input signal. Finally, Fast Fourier Transformation (FFT) spectrum analysis was used to obtain the spectral peak on the frequency spectrum and then calculate Doppler frequency deviation. Theoretical analysis and experimental simulation shows that:the proposed algorithm can improve the acquisition sensitivity of direct sequence spread signals when the input SNR is -26 dB, and the output SNR is improved by 15 dB after two-stage cascade stochastic resonance system; at the same time, the correct detection probability of this algorithm is improved by about 4 dB compared with the traditional capture algorithm. The proposed method not only can suppress noise, but also convert some noise energy into signal energy; meanwhile it can decrease the influence of large Doppler frequency offset. Therefore, it has great advantages in capturing weak signals.

Key words: cascade stochastic resonance, weak signal acquisition, direct sequence spread spectrum, partial matched filter, Fast Fourier Transformation (FFT) spectrum analysis

摘要： 在直接序列扩频信号的捕获中，针对低信噪（SNR）比以及大频偏对信号捕获产生影响的问题，提出了一种基于级联随机共振的直接序列扩频信号的捕获方法。首先将输入信号通过部分匹配滤波器进行处理，当本地伪码和输入信号伪码相位对齐时，输出信号仅剩下了残余多普勒频偏；然后将该信号进行级联随机共振，从而提高信号的输入信噪比；最后通过快速傅里叶变换（FFT）谱分析，可以在频谱上得到清晰的谱峰，进而求出多普勒频偏值。通过理论分析和实验仿真可知，在输入信噪比为-26 dB的情况下，所提方法能够提高直接序列扩频信号的捕获灵敏度，并且通过两级级联随机共振系统后输出信噪比提高了15 dB左右；同时与传统捕获算法相比，该方法的正确检测概率提高了4 dB左右。所提方法不但能抑制噪声，而且能将部分噪声能量转换为信号能量，同时能够改善大多普勒频偏的影响，在捕获弱信号方面有着极大的优越性。

关键词: 级联随机共振, 微弱信号捕获, 直接序列扩频, 部分匹配滤波器, 快速傅里叶变换谱分析

CLC Number:

TN918

WANG Aizhen, HU Jiao, HAN Hangcheng. Capture method of direct sequence spread spectrum signal based on cascade stochastic resonance[J]. Journal of Computer Applications, 2018, 38(7): 2020-2023.

王爱珍, 胡姣, 韩航程. 基于级联随机共振的直接序列扩频信号的捕获方法[J]. 计算机应用, 2018, 38(7): 2020-2023.

References

[1] 国世超,陈安乐,韩方剑.基于部分匹配滤波的伪码捕获方法研究[J].电子信息对抗技术,2010,25(2):20-23.(GUO S C, CHEN A L, HAN F J, Pseudo-noise code acquisition method based on partial matched filter[J]. Electronic Information Warfare Technology, 2010, 25(2):20-23.)
[2] 周玉飞,王红军,左云波.基于级联随机共振系统的微弱故障信息特征获取[J].北京信息科技大学学报(自然科学版),2016,31(3):32-36.(ZHOU Y F, WANG H J, ZUO Y B. Feature acquisition of weak fault information based on cascaded stochastic resonance system[J]. Journal of Beijing Information Science & Technology University, 2016, 31(3):32-36.)
[3] 范胜波,王太勇,冷永刚,等.基于变尺度随机共振的弱周期性冲击信号的检测[J].中国机械工程,2006,17(4):387-390.(FAN S B, WANG T Y, LENG Y G, et al. Detection of weak periodic impact signals based on scale transformation stochastic resonance[J]. China Mechanical Engineering, 2006, 17(4):387-390.)
[4] FU Z, XING J, ZHU R, et al. A new method of detecting line-spectrum based on auto-correlation with stochastic resonance theory[C]//Proceedings of the 201325th Chinese Control and Decision Conference. Piscataway, NJ:IEEE, 2013:1104-1107.
[5] CHEN W, WANG J, LI H, et al. Stochastic resonance noise enhanced spectrum sensing in cognitive radio networks[C]//Proceedings of the 2010 IEEE Global Telecommunications Conference. Piscataway, NJ:IEEE, 2010:1-6.
[6] LIN Y, HE C, JIANG L, et al. Cooperative spectrum sensing based on stochastic resonance in cognitive radio[J]. Science China:Information Sciences, 2014, 57(2):1-10.
[7] SHI S, YIN W, YANG M, et al. A high-resolution weak signal detection method based on stochastic resonance and superhet technology[C]//Proceedings of the 20127th International ICST Conference on Communications and Networking in China. Piscataway, NJ:IEEE, 2012:329-333.
[8] LI Q, LI Z, SHEN J, et al. A novel spectrum sensing method in cognitive radio based on suprathreshold stochastic resonance[C]//Proceedings of the 2012 IEEE International Conference on Communications. Piscataway, NJ:IEEE, 2012:4426-4430.
[9] 冷永刚,王太勇,秦旭达,等.二次采样随机共振频谱研究与应用初探[J].物理学报,2004,53(3):717-723.(LENG Y G, WANG T Y, QIN X D, et al. Power spectrum research of twice sampling stochastic resonance response in a bistable system[J]. Acta Physica Sinica, 2004, 53(3):717-723.)
[10] 冷永刚.大信号变尺度随机共振的机理分析及其工程应用研究[D].天津:天津大学,2004:40-58.(LENG Y G. Mechanism analysis of the large signal scale-transformation stochastic resonance and its engineering application study[D].Tianjin:Tianjin University, 2004:40-58.)
[11] 宫二玲,王跃科,杨俊.直接序列扩频码元同步的快速捕获及跟踪[J].国防科技大学学报,2003,25(5):76-79.(GONG E L, WANG Y K, YANG J. Fast code acquisition and tracking for DS/SS[J]. Journal of National University of Defense Technology, 2003, 25(5):76-79.)
[12] 史东升.基于FPGA扩频码捕获算法的研究和实现[D]. 哈尔滨:哈尔滨工程大学,2008:80-100.(SHI D S. Research and realization of PN code acquisition algorithm based on FPGA[D]. Harbin:Harbin Engineering University, 2008:80-100.)
[13] 梁博.基于随机共振方法的微弱信号检测技术研究[D]. 兰州:兰州交通大学,2017:32-60.(LIANG B. Weak signal detection based on stochastic resonance[D]. Lanzhou:Lanzhou Jiaotong University, 2017:32-60.)
[14] 张勇亮,李国林,张晓瑜.基于并联自适应随机共振的微弱信号检测方法[J].计算机工程与设计,2017,38(5):1324-1330.(ZHANG Y L, LI G L, ZHANG X Y. Method of weak signal detection based on parallel self-adaptive stochastic resonance[J]. Computer Engineering and Design, 2017, 38(5):1324-1330.)
[15] 陈亮,王勋.随机共振算法在北斗微弱信号捕获中的应用[J].武汉大学学报(信息科学版),2018,43(4):605-612.(CHEN L, WANG X. Application of stochastic resonance algorithm in the weak BeiDou signal acquisition[J]. Geomatics and Information Science of Wuhan University, 2018, 43(4):605-612.)

Capture method of direct sequence spread spectrum signal based on cascade stochastic resonance

基于级联随机共振的直接序列扩频信号的捕获方法

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