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1.
公开(公告)号:US11815591B2
公开(公告)日:2023-11-14
申请号:US17018267
申请日:2020-09-11
CPC分类号: G01S13/876 , G01S13/762 , G06F18/2155 , G06N3/04 , G06N3/08 , G16Y10/75 , G16Y40/60
摘要: The present invention relates to a method for estimating a distance between nodes of an LPWA network. First and second nodes, respectively, successively transmit a narrow band signal at a plurality of carrier frequencies to each other. The second and first nodes, respectively, receive the transmitted signals and demodulate them into baseband signals. Complex values representative of a forward-backward function of the transmission channel between two nodes are obtained from the baseband demodulated signals. These complex values are then provided to a previously supervisingly trained neural network, the neural network giving an estimation of the distance separating the first node and the second node. The present invention also relates to a method for estimating the position of a node in an LPWA network using the above-noted distance estimation method.
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2.
公开(公告)号:US11668785B2
公开(公告)日:2023-06-06
申请号:US17318185
申请日:2021-05-12
CPC分类号: G01S5/06 , G01S5/021 , G01S5/02213 , H04W64/00
摘要: A method for locating a connected object within an LPWA network using a plurality of base stations. The connected object transmits packets in RF frequency channels forming a virtual band being scanned once in the uplink direction and once in the downlink direction in a symmetrical manner. The base stations receiving the signal perform an RF to intermediate frequency translation and then a baseband translation in digital mode. The phase differences of arrival for each pair of base stations and the attenuation coefficients of each transmission channel between the connected object and each base station enable a composite transfer function to be constructed for each pair of base stations. The peaks of highest amplitude are detected in the corresponding impulse responses and the distance differences between the connected object and the different base stations are derived therefrom. The position of the object is then estimated by hyperbolic trilateration.
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