Bit-Level Composite Signal Design for Simultaneous Ranging and Communication

作     者：Weigang Chen Yalong He Changcai Han Jinsheng Yang Zhan Xu Weigang Chen;Yalong He;Changcai Han;Jinsheng Yang;Zhan Xu

作者机构：School of MicroelectronicsTianjin UniversityTianjin 300072China Key Laboratory of Modern Measurement and Control TechnologyBeijing 100192China School of Information and Communication EngineeringBeijing Information Science and Technology UniversityBeijing 100192China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2021年第18卷第6期

页      面：214-227页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 

基　　金：This work was supported in part by National Natural Science Foundation of China(61671324) the Director’s Funding from Pilot National Laboratory for Marine Science and Technology(Qingdao)(QNLM201712) Zhan Xu was supported in part by National Natural Science Foundation of China(61620106001) 

主　　题：composite signal spectrum sharing lowweight codeword regenerative PN ranging code 

摘      要：As the complexity of space exploration missions augments,how to enhance the overall performance of communication,ranging or other functions has become a challengeable *** the integration of communication and ranging,we present a bit-level composite signal for simultaneous ranging and *** this composite method,through a specially designed mapping scheme using low-weight codewords,the information sequence is converted to a sparse sequence which is then superimposed on the ranging *** ranging,the correlation characteristics of the ranging code component can be maintained to calculate the transmitter-receiver *** communications,the sparse sequence can be extracted without interference by eliminating the ranging code *** results show that the proposed composite signal can support communication and ranging simultaneously with limited sacrifice of ranging performance,and the performance loss of ranging can be controlled and minimized by lowering the density of information sequences using different sparsification encoding methods.