Abstract
In recent years, the technology of artificial intelligence and the realization of unmanned driving become popular topics. In the meantime, the Internet of vehicle, as a new method of Internet of things, has attracted more and more attention. As an important part of the intelligent transportation system, the internet of vehicle insti-tute the transmission link between vehicles and the surrounding objects in order to complete the communication with each other. Except for the traditional communica-tion system, the radar sensor is also a necessary equipment used in the whole inter-net of vehicle system, whose purpose is to obtain the surrounding information of environment, such as distance and velocity, through the radar sensor. Subsequently, the communication and radar information obtained by the vehicle will be processed by its own system or cloud equipment, and depending on the results the vehicle can be controlled to complete the auxiliary driving task or the unmanned driving mis-sion.
This paper mainly discusses the radar and communication integration technol-ogy based on the Internet of vehicle. Firstly, depending on the research status, an internet of vehicle communication model can be built from four-layer structure, the space, sky, land, sea layer based on the position and type of transmission terminal which is also called the integration internet of vehicle communication model, and select the land layer as the transmission mode and the road model in part to discuss energy consumption. The result shows that utilizing the moving relay node is the best communication transmission mode under the same conditions. Secondly, after determining the moving relay transmission with the best performance, considering the radar function at the same time, the multi-carrier phase encode of the communi-cation signal is applied to the realization of the radar function. Based on the com-munication and radar signal, the system parameters are designed in order to accom-plish the requirement of communication and radar. Focusing on the receiving signal, it can be decoded to complete the mission of communication, while the mission of radar can be accomplished by the periodic chart method and the successive elimina-tion algorithm of related targets. After these steps, the basic model of radar and communication integration based on internet of vehicle is built. Finally, based on the basic model, the number of antenna can be increased into multi antennas, which changes the basic system into a MIMO radar and communication integration system. According to the MIMO system, the different signals are designed in order to ad-dress the different circumstance and the method to object sensing is also corrected.
Depending on the number of the object and channel coverage, three plans, which are single object plan, multi objects plan and cluster objects plan, are instituted to ac-complish communication. The result of simulation show that the designing of dif-ferent systems can effectively accomplish the radar and communication integration.
Keywords: internet of vehicle, radar and communication integration, MIMO, relay node
目录
摘要 ........................................................................................................................... I Abstract ......................................................................................................................... I I 第1章绪论 (1)
1.1课题背景及研究的目的和意义 (1)
1.2车联网的研究现状 (2)
1.3雷达通信一体化研究现状 (4)
1.4本文的主要研究内容 (6)
第2章车联网模型通信性能分析 (8)
2.1OFDM通信系统 (8)
2.2不同场景下发射功率的讨论 (11)
2.2.1 传输模型 (11)
2.2.2 街区公路模型 (16)
2.3本章小结 (19)
第3章基于MCPC-OFDM信号的一体化设计 (21)
3.1多载波相位编码 (21)
3.1.1 多载波相位编码理论基础 (21)
3.1.2 多载波相位编码模糊图 (24)
3.2系统设计 (28)
3.2.1雷达系统参数设计 (29)
3.2.1通信系统参数设计 (30)
3.3目标检测方法 (31)
3.4仿真与结果分析 (36)
3.4.1 雷达性能 (36)
3.4.2 通信性能 (38)
3.5本章小结 (40)
第4章MIMO下MCPC-OFDM信号的一体化设计 (41)
4.1MIMO简介 (41)
4.2信号设计 (44)
4.2.1 V-BLAST方案 (44)
4.2.2 Alamouti方案 (45)
4.2.3 载波分配方案 (46)
4.2.5 MMSE预编码 (49)
4.3MIMO下目标检测 (50)
4.4系统设计 (51)
4.4.1 单目标传输方案 (52)
4.4.2 多目标传输方案 (53)
4.4.3 群目标传输方案 (54)
4.5性能分析 (55)
4.5.1 MIMO条件下雷达性能分析 (56)
4.5.2 MIMO条件下通信性能分析 (57)
4.6本章小结 (58)
结论 (59)
参考文献 (60)
攻读硕士学位期间发表的论文及其它成果 (64)
哈尔滨工业大学学位论文原创性声明和使用权限 (65)
致谢 (66)