ROBUST NODE ESTIMATION AND TOPOLOGY DISCOVERY FOR LARGE-SCALE NETWORKS

    公开(公告)号:US20180227188A1

    公开(公告)日:2018-08-09

    申请号:US15747554

    申请日:2016-08-18

    CPC classification number: H04L41/12 H04W84/18

    Abstract: Various examples are provided for node estimation and topology discovery for networks. In one example, a method includes receiving a packet having an identifier from a first node; adding the identifier to another transmission packet based on a comparison between the first identifier and existing identifiers associated with the other packet; adjusting a transmit probability based on the comparison; and transmitting the other packet based on a comparison between the transmit probability and a probability distribution. In another example, a system includes a network device that can adds an identifier received in a packet to a list including existing identifiers and adjust a transmit probability based on a comparison between the identifiers; and transmit another packet based on a comparison between the transmit probability and a probability distribution. In another example, a method includes determining a quantity of sensor devices based on a plurality of identifiers received in a packet.

    ATTITUDE DETERMINATION BASED ON GLOBAL NAVIGATION SATELLITE SYSTEM INFORMATION

    公开(公告)号:US20210396890A1

    公开(公告)日:2021-12-23

    申请号:US17269390

    申请日:2019-04-04

    Abstract: A method for determining a 3-dimensional (3D) attitude of a platform includes receiving satellite relayed information regarding an ambiguous phase single-difference measurement (φ); resolving a phase ambiguity of the ambiguous phase single-difference measurement (φ) to determine an unambiguous phase single-difference estimate (ϕ); calculating coarse direction vectors xcor and ycor based on the unambiguous phase single-difference estimate (ϕ); estimating improved direction vectors x and y based on the coarse direction vectors xcor and ycor and by imposing constraints on the improved direction vectors x and y and an angle between the improved direction vectors x and y; and calculating the 3D attitude of the platform from the improved direction vectors x and y.

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