Abstract: A method includes, at a first node: transmitting a first calibration signal at a first time-of-departure measured by the first node; and transmitting a second calibration signal at a second time-of-departure measured by the first node. The method also includes, at a second node: receiving the first calibration signal at a first time-of-arrival measured by the second node; and receiving the second calibration signal at a second time-of-arrival measured by the second node. The method further includes: defining a first calibration point and a second calibration point in a set of calibration points, each calibration point comprising a time-of-departure and a time-of-arrival of each calibration signal; calculating a regression on the set of calibration points; and calculating a frequency offset between the first node and the second node based on the first regression.

Abstract: A method including, at each node in each pair of nodes in a network: transmitting an outbound synchronization signal; generating a self-receive signal based on the outbound synchronization signal; detecting the self-receive signal at a self-receive TOA; detecting an inbound synchronization signal; based on the pair of self-receive TOAs and the pair of synchronization TOAs, for each pair of nodes in the network: calculating a pairwise time offset and distance; for each node in the network: based on the set of pairwise distances, calculating a location and a time bias of the node. The method also includes: at each node in the network, detecting a localization signal, transmitted by a device, at a localization TOA; and calculating a location of the device based on, for each node in the network, the localization signal detected at the node, and the time bias and the relative location of the node.

Abstract: A method including, at each node in each pair of nodes in a network: transmitting an outbound synchronization signal; generating a self-receive signal based on the outbound synchronization signal; detecting the self-receive signal at a self-receive TOA; detecting an inbound synchronization signal; based on the pair of self-receive TOAs and the pair of synchronization TOAs, for each pair of nodes in the network: calculating a pairwise time offset and distance; for each node in the network: based on the set of pairwise distances, calculating a location and a time bias of the node. The method also includes: at each node in the network, detecting a localization signal, transmitted by a device, at a localization TOA; and calculating a location of the device based on, for each node in the network, the localization signal detected at the node, and the time bias and the relative location of the node.

Abstract: A method includes, at a first node: transmitting a first calibration signal at a first time-of-departure measured by the first node; and transmitting a second calibration signal at a second time-of-departure measured by the first node. The method also includes, at a second node: receiving the first calibration signal at a first time-of-arrival measured by the second node; and receiving the second calibration signal at a second time-of-arrival measured by the second node. The method further includes: defining a first calibration point and a second calibration point in a set of calibration points, each calibration point comprising a time-of-departure and a time-of-arrival of each calibration signal; calculating a regression on the set of calibration points; and calculating a frequency offset between the first node and the second node based on the first regression.

Abstract: A method includes, at a first node: transmitting a first synchronization signal at a first time according to a first clock of the first node; back-coupling the first synchronization signal to generate a first self-receive signal; calculating a time-of-arrival of the first self-receive signal according to the first clock; and calculating a time-of-arrival of the second synchronization signal according to the first clock. The method also includes, at the second node: transmitting the second synchronization signal at a second time according to a second clock of the second node; back-coupling the second synchronization signal to generate a second self-receive signal; calculating a time-of-arrival of the second self-receive signal according to the second clock; and calculating a time-of-arrival of the first synchronization signal according to the second clock. The method S100 further includes calculating a time bias and a propagation delay between the pair of nodes based on the time-of-arrivals.

Abstract: A method includes, at a first node: transmitting a first calibration signal at a first time-of-departure measured by the first node; and transmitting a second calibration signal at a second time-of-departure measured by the first node. The method also includes, at a second node: receiving the first calibration signal at a first time-of-arrival measured by the second node; and receiving the second calibration signal at a second time-of-arrival measured by the second node. The method further includes: defining a first calibration point and a second calibration point in a set of calibration points, each calibration point comprising a time-of-departure and a time-of-arrival of each calibration signal; calculating a regression on the set of calibration points; and calculating a frequency offset between the first node and the second node based on the first regression.

Abstract: A method includes, at a first node: transmitting a first synchronization signal at a first time according to a first clock of the first node; back-coupling the first synchronization signal to generate a first self-receive signal; calculating a time-of-arrival of the first self-receive signal according to the first clock; and calculating a time-of-arrival of the second synchronization signal according to the first clock. The method also includes, at the second node: transmitting the second synchronization signal at a second time according to a second clock of the second node; back-coupling the second synchronization signal to generate a second self-receive signal; calculating a time-of-arrival of the second self-receive signal according to the second clock; and calculating a time-of-arrival of the first synchronization signal according to the second clock. The method S100 further includes calculating a time bias and a propagation delay between the pair of nodes based on the time-of-arrivals.

Abstract: A method includes, at a first node: transmitting a first calibration signal at a first time-of-departure measured by the first node; and transmitting a second calibration signal at a second time-of-departure measured by the first node. The method also includes, at a second node: receiving the first calibration signal at a first time-of-arrival measured by the second node; and receiving the second calibration signal at a second time-of-arrival measured by the second node. The method further includes: defining a first calibration point and a second calibration point in a set of calibration points, each calibration point comprising a time-of-departure and a time-of-arrival of each calibration signal; calculating a regression on the set of calibration points; and calculating a frequency offset between the first node and the second node based on the first regression.

Abstract: A method includes, at a first node: transmitting a first synchronization signal at a first time according to a first clock of the first node; back-coupling the first synchronization signal to generate a first self-receive signal; calculating a time-of-arrival of the first self-receive signal according to the first clock; and calculating a time-of-arrival of the second synchronization signal according to the first clock. The method also includes, at the second node: transmitting the second synchronization signal at a second time according to a second clock of the second node; back-coupling the second synchronization signal to generate a second self-receive signal; calculating a time-of-arrival of the second self-receive signal according to the second clock; and calculating a time-of-arrival of the first synchronization signal according to the second clock. The method S100 further includes calculating a time bias and a propagation delay between the pair of nodes based on the time-of-arrivals.

Abstract: A method including, at each node in each pair of nodes in a network: transmitting an outbound synchronization signal; generating a self-receive signal based on the outbound synchronization signal; detecting the self-receive signal at a self-receive TOA; detecting an inbound synchronization signal; based on the pair of self-receive TOAs and the pair of synchronization TOAs, for each pair of nodes in the network: calculating a pairwise time offset and distance; for each node in the network: based on the set of pairwise distances, calculating a location and a time bias of the node. The method also includes: at each node in the network, detecting a localization signal, transmitted by a device, at a localization TOA; and calculating a location of the device based on, for each node in the network, the localization signal detected at the node, and the time bias and the relative location of the node.

Abstract: A method includes, at a first node: transmitting a first synchronization signal at a first time according to a first clock of the first node; back-coupling the first synchronization signal to generate a first self-receive signal; calculating a time-of-arrival of the first self-receive signal according to the first clock; and calculating a time-of-arrival of the second synchronization signal according to the first clock. The method also includes, at the second node: transmitting the second synchronization signal at a second time according to a second clock of the second node; back-coupling the second synchronization signal to generate a second self-receive signal; calculating a time-of-arrival of the second self-receive signal according to the second clock; and calculating a time-of-arrival of the first synchronization signal according to the second clock. The method S100 further includes calculating a time bias and a propagation delay between the pair of nodes based on the time-of-arrivals.

Abstract: A method including, at each node in each pair of nodes in a network: transmitting an outbound synchronization signal; generating a self-receive signal based on the outbound synchronization signal; detecting the self-receive signal at a self-receive TOA; detecting an inbound synchronization signal; based on the pair of self-receive TOAs and the pair of synchronization TOAs, for each pair of nodes in the network: calculating a pairwise time offset and distance; for each node in the network: based on the set of pairwise distances, calculating a location and a time bias of the node. The method also includes: at each node in the network, detecting a localization signal, transmitted by a device, at a localization TOA; and calculating a location of the device based on, for each node in the network, the localization signal detected at the node, and the time bias and the relative location of the node.

Abstract: A method includes, at a first node: transmitting a first synchronization signal at a first time according to a first clock of the first node; back-coupling the first synchronization signal to generate a first self-receive signal; calculating a time-of-arrival of the first self-receive signal according to the first clock; and calculating a time-of-arrival of the second synchronization signal according to the first clock. The method also includes, at the second node: transmitting the second synchronization signal at a second time according to a second clock of the second node; back-coupling the second synchronization signal to generate a second self-receive signal; calculating a time-of-arrival of the second self-receive signal according to the second clock; and calculating a time-of-arrival of the first synchronization signal according to the second clock. The method S100 further includes calculating a time bias and a propagation delay between the pair of nodes based on the time-of-arrivals.

Abstract: Embodiments are directed towards an advertising pricing system that uses striped aggressive discounting and shared audience auctions. A plurality of stripes is determined for an audience, where at least one stripe is assigned a different discount. Each user in the audience is associated with one of the stripes. All audience data can then be distributed to and shared between data buyers; thus, each data buyer can use the audience independent of other data buyers. In one embodiment, data buyers can provide content to individual users regardless of the stripe that is associated with the user. Data buyers can then be billed based on the stripe discount associated with each user that the data buyer provided content. In one embodiment, the number, size, and discount associated with each stripe may be modified to dynamically produce an optimum yield based on shared audience auction bidding volume using striped aggressive discounting.

Abstract: Embodiments of the invention are directed to managing an exchange of user profile data through an auction that controls distribution to one or more top bidders. Visiting users of a data seller's website are tagged based on the visiting user's interactions with the data seller's website. The data seller or a network provider may tag the visiting users. The data sellers submit user data and user profile identifiers to an exchange service. Data buyers submit corresponding categories of user data for a campaign, and submit bids for profile data or user data of each user. A bid is generally specified for a specific user, where the bid may be per user, per category. The exchange service associates user data provided by a data seller with categories of data requested by a data buyer, and ranks bids. The highest bidder may receive access to user data for a predefined period.