Joint Sensing And Communication Signal Design And Performance Analysis For Multi-vehicle Interconnection

With the improvement of technology,the traditional human-centered com-munication network is gradually shifting to a machine-oriented communication network,and the development of intelligent machines is showing a prosperous situation.JSC technology with its high spectrum utilization rate and high data volume can provide a solution for multi-vehicle interconnection networks.JSC technology also can provide a multi-functional software and hardware integra-tion platform,which is very suitable for vehicle.The technology can support the concurrent sensing tasks and communication tasks of vehicles in a complex traffic environment,and meet the needs of multi-vehicle interconnection net-works for the rapid sharing of perception information.The new JSC technology is of great significance to improve the security of the multi-vehicle intercon-nection network,enhance the sensing ability of the vehicle,and promote the transformation of vehicle individual intelligence to group intelligence.In this paper,the traditional radar mutual interference in the multi-vehicle interconnection network and the sensing performance bottleneck of integrated signal processing are considered.Considering the needs of vehicles in the ar-chitecture of C-V2X for the deep integration of sensing and communication,using theory methods such as stochastic geometry,probability statistics,detec-tion and estimation,as well as research methods such as model establishment,performance analysis,algorithm design,simulation verification,etc.,relying on the latest standards in the field of wireless communication,propose a JSC signal design method based on the 5G NR standard.The paper has carried out research on signal processing,algorithm design,mutual interference suppres-sion and performance evaluation around this method.The innovative work of this paper mainly includes the following four aspects:1)The widespread application of vehicle-mounted millimeter-wave radars in multi-vehicle interconnection networks has brought about mutual interfer-ence problems.In view of the limitation of mutual interference research mostly relying on constant radar cross-section,this paper proposes a new mutual inter-ference analysis method considering RCS fluctuation characteristics.Two RCS fluctuation models of Swerling type and Chi-square type are integrated into the analysis of ranging performance,and a closed-form solution of the successful ranging probability of radar is derived.This paper introduces the reflected in-terference into the analysis of ranging performance for the first time,deduces the upper and lower bounds of the radar’s successful ranging probability under the strong correlation of reflected interference,and effectively quantifies the factors that restrict the ranging performance such as mutual interference.2)In order to solve the mutual interference and multi-vehicle interconnec-tion network’s demand for information sharing.Based on the analysis of mutual interference,this paper proposes a method of using the new waveform of 5G NR to design a JSC signal for vehicle sensing and communication.Relying on the flexible and extensible frame structure of CP-OFDM,the JSC processing method based on the 5G NR standard is studied.Aiming at the gaps in the con-figuration of JSC performance parameters in existing standards,the constraints of the 5G NR standard between different subcarrier spacing,number of sym-bols and sensing accuracy are explored,and the configuration of JSC signal parameter under the typical scenario is given.3)The existing two-dimensional Range-Doppler radar processing algo-rithm based on the communication signal has the problem of limited sensing accuracy.This paper proposes a scheme to improve the sensing performance by using 5G NR synchronous broadcast blocks.The scheme makes full use of the regularity of the embedded position of the synchronization sequence,and realizes the target motion information measurement with the bit as the mini-mum operation unit through the excellent autocorrelation characteristics of the m sequence and the Gold sequence.The simulation results show that the error can be reduced by an order of magnitude using the method proposed in this paper comparing with the existing research.4)Aiming at the problem of mutual interference in multi-vehicle inter-connection networks,combined with the flexible and expandable ability of the 5G NR frame structure,this paper proposes a CP-OFDM symbol-based mutual interference suppression scheme,and proposes Symbol Weight Extensive Can-cellation Algorithm in Frequency-Domain,realizing the accurate extraction of target vehicle motion information in the interference environment.The simula-tion results show that the mutual interference suppression scheme proposed in this paper brings 18 dB of signal-to-interference-plus-noise ratio gain.The research results of this paper have certain theoretical significance in the design of JSC signal design for multi-vehicle interconnection networks,pro-vide effective algorithm design and solutions for engineering practice,and pro-vide technical reference for the future multi-vehicle interconnection network based on 5G NR.