The close relationship between the digital economy and the construction of an accurate spatio-temporal infrastructure,as well as the roles and challenges of communication and navigation integrated perception networks in realizing accurate spatio-temporal perception,is analyzed.China's breakthrough in communication and navigation integration research is introduced.The following topics are discussed:how embedded signal-to-noise positioning technology improves 5G network positioning performance,how the fusion of heterogeneous multi-network and multi-source data ensures positioning robustness,and the incremental effects of BeiDou's deep integration with 5G.Finally,further planning of communication and navigation integrated networks is proposed from the perspective of developing the digital economy.
Vehicle positioning methods using Visible Light Communication(VLC)are studied,and four methods based on VLC are studied,analyzed and compared.Firstly,based on the assumed system model and the received VLC signal mathematical model,the measurement process of TX position and system physical parameters adopted by each method are analyzed.An observation model is constructed using the geometric relations between these parameters and TX position to obtain vehicle position estimation.Then,the Cramer-Rao Lower Bound(CRLB)for each method in regard to position accuracy is obtained by the observation model based on VLC positioning method.Finally,under the VLC channel model with general finite propagation delay,Line of Sight(LoS)and Additive White Gaussian Noise(AWGN),the measurement of system physical parameters of each method is simulated for collision avoidance and platooning driving scenarios of real roads,and the CRLB of positioning accuracy for each method is evaluated based on the measurement results.
