Research And Implementation Of Radar And Communication Integration Frameworks For V2X Applications

With the rapid development of the national economy,vehicles have become an important part of the modern city.However,traffic congestion,accidents and environmental pollution are becoming social issues need to be addressed.Intelligent driving,or even totally autonomous vehicles are showing to be promising solutions to reduce the probability of accidents and improve road utilization efficiency,which has attracted great attention from both academic and industrial areas.Real-time and accurate information of of both vehicles and surrounding environment,is of great importance for intelligent driving applications.Hence,accurate detection and sensing capabilities are required as well as wireless communications for data transmission and fusion.Therefore,the large number of on-board sensors lead to many problems,such as an increase in system size and energy consumption,serious electromagnetic interference.Recently,radar-communication(Rad Com)integrated systems have been widely investigated,due to its can reduce hardware cost and save spectrum resources,which is becoming a hot issue of current research.Rad Com can realize the versatility,miniaturization and multi-function of vehicle-mounted equipment,and have important theoretical significance and practical applied foreground.This thesis aims at the context information sensing problem for intelligent driving,adopting the high-precision vehicle-mounted radar,according to the needs of high accuracy context sensing and information fusion,we propose an integrated waveform design using the orthogonal frequency division multiplexing(OFDM)scheme.Efficient fusion methods are also proposed,to achieve real-time,accuracy and robustness of the context sensing.In detail,the main contributions of this thesis can be summarized as follows.OFDM waveforms are designed for vehicle applications.Specifically,the signal characteristics are further studied from ambiguity function(AF).The expression of AF is theoretically derived,and the effect of signal parameters on range AF and velocity AF is analyzed,which formulates a theoretical basis for the integrated signal design.Aiming at the estimation of target parameters for Rad Com system in the single vehicle sensing,a signal processing algorithm with high reliability is proposed.For integrated signals using continuous waveforms,a modulation symbol-based processing algorithm is used,combing with frequency domain oversampling technology,to achieve the joint estimation of the range,velocity,angle simultaneously.On the general software radio platform,an integrated system test platform is built,and indoor and outdoor test scenes are designed,which are tested and verified in indoor and outdoor respectively.The experimental results show that the integrated system based on OFDM can eliminate the influence of communication information on radar performance and realize joint estimation of range and speed.