The Shinto Directive,the official source of the term“State Shinto”,on the one hand defines the concept of“State Shinto”in a narrow sense,and on the other hand reveals its profound connotation and generalized exten...The Shinto Directive,the official source of the term“State Shinto”,on the one hand defines the concept of“State Shinto”in a narrow sense,and on the other hand reveals its profound connotation and generalized extension.In 1945,after the Allied Forces issued the Shinto Directive,Japanese academia carried out in-depth research around“State Shinto”,and gradually formed the“two camps”consisting of scholars who advocated the theory of“State Shinto in a Broad Sense”and insisted on the theory of“State Shinto in a Narrow Sense”.In the process of promoting the democratic reform,the theory of“State Shinto in a Broad Sense”gradually developed into the general theory of“State Shinto”after the war;With the continuous advancement of empirical research,the“State Shinto in a Narrow Sense”gradually rose.While enriching the post-war research of“State Shinto”,it also provided a theoretical basis for historical revisionists to distort and cover up history.Finally,under the situation that the trend of Japanese political right deviation is increasingly intensified,the limitations of the“broad sense”and“narrow sense”camps are broken,and the study of“State Shinto”has entered a new stage.展开更多
In this paper,joint location and velocity estimation(JLVE)of vehicular terminals for 6G integrated communication and sensing(ICAS)is studied.We aim to provide a unified performance analysis framework for ICAS-based JL...In this paper,joint location and velocity estimation(JLVE)of vehicular terminals for 6G integrated communication and sensing(ICAS)is studied.We aim to provide a unified performance analysis framework for ICAS-based JLVE,which is challenging due to random fading,multipath interference,and complexly coupled system models,and thus the impact of channel fading and multipath interference on JLVE performance is not fully understood.To address this challenge,we exploit structured information models of the JLVE problem to render tractable performance quantification.Firstly,an individual closedform Cramer-Rao lower bound for vehicular localization,velocity detection and channel estimation,respectively,is established for gaining insights into performance limits of ICAS-based JLVE.Secondly,the impact of system resource factors and fading environments,e.g.,system bandwidth,the number of subcarriers,carrier frequency,antenna array size,transmission distance,spatial channel correlation,channel covariance,the number of interference paths and noise power,on the JLVE performance is theoretically analyzed.The associated closed-form JLVE performance analysis can not only provide theoretical foundations for ICAS receiver design but also provide a perfor mance benchmark for various JLVE methods。展开更多
Can WiFi signals be used for sensing purpose? The growing PHY layer capabilities of WiFi has made it possible to reuse WiFi signals for both communication and sensing. Sensing via WiFi would enable remote sensing wit...Can WiFi signals be used for sensing purpose? The growing PHY layer capabilities of WiFi has made it possible to reuse WiFi signals for both communication and sensing. Sensing via WiFi would enable remote sensing without wearable sensors, simultaneous perception and data transmission without extra communication infrastructure, and contactless sensing in privacy-preserving mode. Due to the popularity of WiFi devices and the ubiquitous deployment of WiFi networks, WiFi-based sensing networks, if fully connected, would potentially rank as one of the world's largest wireless sensor networks. Yet the concept of wireless and sensorless sensing is not the simple combination of WiFi and radar. It seeks breakthroughs from dedicated radar systems, and aims to balance between low cost and high accuracy, to meet the rising demand for pervasive environment perception in everyday life. Despite increasing research interest, wireless sensing is still in its infancy. Through introductions on basic principles and working prototypes, we review the feasibilities and limitations of wireless, sensorless, and contactless sensing via WiFi. We envision this article as a brief primer on wireless sensing for interested readers to explore this open and largely unexplored field and create next-generation wireless and mobile computing applications.展开更多
文摘The Shinto Directive,the official source of the term“State Shinto”,on the one hand defines the concept of“State Shinto”in a narrow sense,and on the other hand reveals its profound connotation and generalized extension.In 1945,after the Allied Forces issued the Shinto Directive,Japanese academia carried out in-depth research around“State Shinto”,and gradually formed the“two camps”consisting of scholars who advocated the theory of“State Shinto in a Broad Sense”and insisted on the theory of“State Shinto in a Narrow Sense”.In the process of promoting the democratic reform,the theory of“State Shinto in a Broad Sense”gradually developed into the general theory of“State Shinto”after the war;With the continuous advancement of empirical research,the“State Shinto in a Narrow Sense”gradually rose.While enriching the post-war research of“State Shinto”,it also provided a theoretical basis for historical revisionists to distort and cover up history.Finally,under the situation that the trend of Japanese political right deviation is increasingly intensified,the limitations of the“broad sense”and“narrow sense”camps are broken,and the study of“State Shinto”has entered a new stage.
基金supported by the National Natural Science Foundation of China under 62001526by Natural Science Foundation of Guangdong Province under 2021A1515012021+2 种基金by National Key R&D Plan of China under Grant 2021YFB2900200partly by Major Talent Program of Guangdong Province under Grant 2021QN02X074by Fundamental Research Funds for the Central Universities, Sun Yat-sen University, under Grant 23QNPY22
文摘In this paper,joint location and velocity estimation(JLVE)of vehicular terminals for 6G integrated communication and sensing(ICAS)is studied.We aim to provide a unified performance analysis framework for ICAS-based JLVE,which is challenging due to random fading,multipath interference,and complexly coupled system models,and thus the impact of channel fading and multipath interference on JLVE performance is not fully understood.To address this challenge,we exploit structured information models of the JLVE problem to render tractable performance quantification.Firstly,an individual closedform Cramer-Rao lower bound for vehicular localization,velocity detection and channel estimation,respectively,is established for gaining insights into performance limits of ICAS-based JLVE.Secondly,the impact of system resource factors and fading environments,e.g.,system bandwidth,the number of subcarriers,carrier frequency,antenna array size,transmission distance,spatial channel correlation,channel covariance,the number of interference paths and noise power,on the JLVE performance is theoretically analyzed.The associated closed-form JLVE performance analysis can not only provide theoretical foundations for ICAS receiver design but also provide a perfor mance benchmark for various JLVE methods。
文摘Can WiFi signals be used for sensing purpose? The growing PHY layer capabilities of WiFi has made it possible to reuse WiFi signals for both communication and sensing. Sensing via WiFi would enable remote sensing without wearable sensors, simultaneous perception and data transmission without extra communication infrastructure, and contactless sensing in privacy-preserving mode. Due to the popularity of WiFi devices and the ubiquitous deployment of WiFi networks, WiFi-based sensing networks, if fully connected, would potentially rank as one of the world's largest wireless sensor networks. Yet the concept of wireless and sensorless sensing is not the simple combination of WiFi and radar. It seeks breakthroughs from dedicated radar systems, and aims to balance between low cost and high accuracy, to meet the rising demand for pervasive environment perception in everyday life. Despite increasing research interest, wireless sensing is still in its infancy. Through introductions on basic principles and working prototypes, we review the feasibilities and limitations of wireless, sensorless, and contactless sensing via WiFi. We envision this article as a brief primer on wireless sensing for interested readers to explore this open and largely unexplored field and create next-generation wireless and mobile computing applications.