This paper presents a method on non-linear correction of broadband LFMCW signal utilizing its relative nonlinear error. The deriving procedure and the results simulated by a computer and tested by a practical system a...This paper presents a method on non-linear correction of broadband LFMCW signal utilizing its relative nonlinear error. The deriving procedure and the results simulated by a computer and tested by a practical system are also introduced. The method has two obvious advantages compared with the previous methods: (1) Correction has no relation with delay time td and sweep bandwidth B; (2) The inherent non-linear error of VCO has no influence on the correction and its last results.展开更多
A novel approach is proposed for the estimation of likelihood on Interacting Multiple-Model(IMM) filter.In this approach,the actual innovation,based on a mismatched model,can be formulated as sum of the theoretical in...A novel approach is proposed for the estimation of likelihood on Interacting Multiple-Model(IMM) filter.In this approach,the actual innovation,based on a mismatched model,can be formulated as sum of the theoretical innovation based on a matched model and the distance between matched and mismatched models,whose probability distributions are known.The joint likelihood of innovation sequence can be estimated by convolution of the two known probability density functions.The like-lihood of tracking models can be calculated by conditional probability formula.Compared with the conventional likelihood estimation method,the proposed method improves the estimation accuracy of likelihood and robustness of IMM,especially when maneuver occurs.展开更多
With the development of digital technology,the way that banks serve small-and medium-sized enterprises(SMEs)has undergone a disruptive change.Besides labor-intensive ways,banks can now serve SMEs through technologyint...With the development of digital technology,the way that banks serve small-and medium-sized enterprises(SMEs)has undergone a disruptive change.Besides labor-intensive ways,banks can now serve SMEs through technologyintensive ways such as big data and artificial intelligence(AI).This has given rise to internet banks and made traditional banks face the choice of digitalization,thus igniting the technological competition in the banking sector.This paper builds a competition model among three types of banks,including small and medium internet banks with unique data advantages,large banks with economies of scale,and regional small and medium banks with comparative advantages in acquiring internal information.Then,the paper studies the digitalization strategies of different types of banks and their influence on the financing options of SMEs.The model shows that there may be a digital matching relationship between banks and SMEs in the era of AI.Large banks and small and medium internet banks have the advantage in the research and development and application of digital loan technology and serve SMEs with a more digital footprint.Regional small and medium banks have an advantage in traditional loan means and serve SMEs with a less digital footprint.This paper suggests that banks choose the transformation direction and development orientation according to their own conditions,such as bank scale,data accumulation,and internal information screening capability because this affects not only the development of banks and but also the extent to which AI can improve the financing environment for SMEs.These conclusions not only provide a theoretical basis for the decision-making mechanism of bank digitalization strategy and the applicability of AI to different types of banks but also have important policy implications for the government to better promote the digital transformation of banks and alleviate the financing constraints for SMEs.展开更多
文摘This paper presents a method on non-linear correction of broadband LFMCW signal utilizing its relative nonlinear error. The deriving procedure and the results simulated by a computer and tested by a practical system are also introduced. The method has two obvious advantages compared with the previous methods: (1) Correction has no relation with delay time td and sweep bandwidth B; (2) The inherent non-linear error of VCO has no influence on the correction and its last results.
基金Supported by the National Natural Science Foundation of China (No. 60736045)the Fundamental Research Funds for the Central Universities (No. 103.1.2.E022050205)
文摘A novel approach is proposed for the estimation of likelihood on Interacting Multiple-Model(IMM) filter.In this approach,the actual innovation,based on a mismatched model,can be formulated as sum of the theoretical innovation based on a matched model and the distance between matched and mismatched models,whose probability distributions are known.The joint likelihood of innovation sequence can be estimated by convolution of the two known probability density functions.The like-lihood of tracking models can be calculated by conditional probability formula.Compared with the conventional likelihood estimation method,the proposed method improves the estimation accuracy of likelihood and robustness of IMM,especially when maneuver occurs.
基金This paper is supported by the Project of National Natural Science Foundation of China“Research on the Value of Digital Intelligence and Ecology of Traditional Enterprises Based on Real Options”(No.72172164)the general project of the Guangdong Basic and Applied Basic Research Fund“Research on the Risk Prevention of‘Debt’of Government and Social Capital Cooperation(PPP)—Based on the Dual Perspective of Regulatory Arbitrage and Transaction Cost Saving”(No.2019A1515012157)the general project of Guangdong Basic and Applied Basic Research Fund“Research on Continuous Time Model of Risk Investment Behavior Characteristics”(No.2021A1515011354).
文摘With the development of digital technology,the way that banks serve small-and medium-sized enterprises(SMEs)has undergone a disruptive change.Besides labor-intensive ways,banks can now serve SMEs through technologyintensive ways such as big data and artificial intelligence(AI).This has given rise to internet banks and made traditional banks face the choice of digitalization,thus igniting the technological competition in the banking sector.This paper builds a competition model among three types of banks,including small and medium internet banks with unique data advantages,large banks with economies of scale,and regional small and medium banks with comparative advantages in acquiring internal information.Then,the paper studies the digitalization strategies of different types of banks and their influence on the financing options of SMEs.The model shows that there may be a digital matching relationship between banks and SMEs in the era of AI.Large banks and small and medium internet banks have the advantage in the research and development and application of digital loan technology and serve SMEs with a more digital footprint.Regional small and medium banks have an advantage in traditional loan means and serve SMEs with a less digital footprint.This paper suggests that banks choose the transformation direction and development orientation according to their own conditions,such as bank scale,data accumulation,and internal information screening capability because this affects not only the development of banks and but also the extent to which AI can improve the financing environment for SMEs.These conclusions not only provide a theoretical basis for the decision-making mechanism of bank digitalization strategy and the applicability of AI to different types of banks but also have important policy implications for the government to better promote the digital transformation of banks and alleviate the financing constraints for SMEs.
