The Design of Multiple Detection Parallel Combined Spread Spectrum Communication System
Many jobs in society go underground, such as mine mining, tunnel construction and subways, which are vital to the development of society. Once accidents occur in these places, the interruption of traditional wired communication is not conducive to the development of rescue work. In order to realize the positioning, early warning and command functions of underground personnel and improve rescue efficiency, it is necessary to develop and design an emergency ground communication system. It is easy to be subjected to narrowband interference when performing conventional underground communication. Spreading communication can be used for this problem. However, general spread spectrum methods such as direct spread communication are inefficient, so it is proposed to use parallel combined spread spectrum (PCSS) communication to improve efficiency. The PCSS communication not only has the anti-interference ability and the good concealment of the traditional spread spectrum system, but also has a relatively high frequency band utilization rate and a strong information transmission capability. So, this technology has been widely used in practice. This paper presents a PCSS communication model-multiple detection parallel combined spread spectrum (MDPCSS) communication system. In this paper, the principle of MDPCSS communication system is described, that is, the sequence at the transmitting end is processed in blocks and cyclically shifted to facilitate multiple detection at the receiving end. The block diagrams of the transmitter and receiver of the MDPCSS communication system are introduced. At the same time, the calculation formula of the system bit error rate (BER) is introduced, and the simulation and analysis of the BER of the system are completed. By comparing with the common parallel PCSS communication, we can draw a conclusion that it is indeed possible to reduce the BER and improve the system performance. Furthermore, the influence of different pseudo-code lengths selected on the system BER is simulated and analyzed, and the conclusion is that the larger the pseudo-code length is, the smaller the system error rate is.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.3300498Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 364
 Ye Peiyi. Direct-sequence spread-spectrum DSSS system and its MATLAB simulation (J). Science and Education and Culture (First Quarterly), 2009 (05): 262.
 Shao Zhiwei. Simulation of direct sequence spread spectrum communication system (J). Heilongjiang Science and Technology Information, 2008(28):78.
 Sanjay Deshmukh, Udhav Bhosle. Performance Evaluation of Spread Spectrum System Using Different Modulation Schemes (J). Procedia Computer Science, 2016, 85.
 Li Wenli, Cai Lingling. Ov8erview of Microwave Spread Spectrum Communication Technology (J). Digital Media Research, 2016, (12): 44-47.
 Ye Dapeng. Research on the technology of receiving parallel-spreading system based on cyclic spectrum correlation (D). Harbin Engineering University, 2009.
 Wang Lide, Chen Gaoping. Application of Spread Spectrum Communication Technology in CDMA (J). Communications Technology, 2003(07):56-58.
 Zhang Yanping, Lu Ruimin. An Improved Optimized Selection Algorithm of Chaotic Spread Spectrum Sequence (J). Computer Engineering, 2016, 42(3): 121-124.
 Zhang Kai, Zhao Xiaoqun, Zhang Yang. Optimization of Spread Spectrum Sequences for Parallel Combined Spread Spectrum Communication (J). Communications Technology, 2012, 45(01): 115-118.
 Guo Lili, Liu Jiaxin, Li Beiming, Zhang Wenchao. Research on parallel combined spread-spectrum combined pseudo-code acquisition algorithm (J). Telemetry and Telecontrol, 2014, 35(03): 1-6.
 LI -ming, GUO Li-li, QI Xiao-dong. Complex position code parallel combinatory spread spectrum communication system with FEC technique (C)//Communications and Mobile Computing, 2009: 209-213.
 Liu Li, He Jiaming, Chen Zhijun, Zhu Yanming. Research on Synchronization Technology of Direct Sequence Spread Spectrum Receiver (J). Journal of Ningbo University (Natural Science and Engineering Edition),2006(02):161-165.
 Yu Jiang, Wang Chunling, Shen Liuping, Zhang Lei. Principles of Spread Spectrum Communication Technology and Its Application (J). China Radio, 2010, (03): 44-47.