会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 5. 发明申请
    • COMPUTER IMPLEMENTED METHOD FOR ESTIMATING INTERFERERS OF RADIOFREQUENCY SYSTEM, COMPUTER PROGRAM, AND DEVICE
    • WO2022209030A1
    • 2022-10-06
    • PCT/JP2021/045432
    • 2021-12-03
    • MITSUBISHI ELECTRIC CORPORATIONMITSUBISHI ELECTRIC R&D CENTRE ENROPE B.V.
    • NGUYEN, Viet HoaGRESSET, Nicolas
    • H04W4/029H04W4/42H04W24/10G01S5/02
    • The invention relates to the estimation of interferers of a radiofrequency system embarked in a moving vehicle having a known trajectory at each time n, with a non overlapping condition between the interferers considered as K independent active sources of interference having respective positions θ = [θ1.., θk,.. θκ], comprising steps of: - Obtaining observations Zn corresponding to measurement of interference from time instant 1 to N, and building an observation vector Z = [Z1,..,Zn,..,ZN], - Defining a latent variable Vn indicating which source is activated at moment n, to build a vector of latent variables V = [V1,..,Vn,..,VN], and - Implementing a Dirichlet process involving a Gibbs sampling with a Markov chain defined by vector V = [V1,..,Vn,..,VN], the sampling being repeated as follows until convergence: For n = 1,... N, if the observation Zn is already associated to a source (S3), remove (S4) observation Zn from its current associated source corresponding to latent variable Vn, and retrieve a position posterior of this source as the observation Zn is no longer belonging to this source; Draw (S5) a new value of latent variable Vn, based on a conditional probability P(Vn = k|V-n, Z-n',Zn) depending on whether a source k pre- existed or not; Associate (S8) the observation Zn to the source corresponding to latent variable Vn, and update the posterior distribution of the position for the source corresponding to latent variable Vn, - and, upon convergence of the algorithm, operating thereby a separation of the interfering sources into K independent measurement sets related respectively to the K interfering sources, and an estimation of each source position with the sources thus separated.