Abstract: Example operations may include determining a first noise estimate of noise that propagates along a receive path of a device. The operations may further include determining a second noise estimate of the noise and determining a cross-relationship estimate with respect to the noise. In addition, the operations may include adjusting one or more correction filters configured to correct for imbalances between a first branch and a second branch of the receive path. The adjusting may be based on the first noise estimate, the second noise estimate, and the cross-relationship estimate.

Abstract: Example operations may include determining a first noise estimate of noise that propagates along a receive path of a device. The operations may further include determining a second noise estimate of the noise and determining a cross-relationship estimate with respect to the noise. In addition, the operations may include adjusting one or more correction filters configured to correct for imbalances between a first branch and a second branch of the receive path. The adjusting may be based on the first noise estimate, the second noise estimate, and the cross-relationship estimate.

Abstract: A method may include obtaining spatial diagnostics data determined independent of changes to channel state parameters associated with a communication channel; and providing a service associated with a location at which the network exists using the spatial diagnostics data. Another method may include obtaining channel state parameters associated with a communication channel, the channel state parameters changing over time; determining spatial diagnostics data independent of changes to the channel state parameters; and providing a service associated with a location at which the network exists using the spatial diagnostics data. Another method may include monitoring activity at a location based on spatial diagnostics data associated with a communication channel of a network with a WAP; and in response to detecting an unrecognized device at the location, calibrating the WAP to nullify parameters of the communication channel from the unrecognized device without disrupting communication with authorized devices.

Abstract: Example operations may include determining a first noise estimate of noise that propagates along a receive path of a device. The operations may further include determining a second noise estimate of the noise and determining a cross-relationship estimate with respect to the noise. In addition, the operations may include adjusting one or more correction filters configured to correct for imbalances between a first branch and a second branch of the receive path. The adjusting may be based on the first noise estimate, the second noise estimate, and the cross-relationship estimate.

Abstract: A method may include obtaining spatial diagnostics data determined independent of changes to channel state parameters associated with a communication channel; and providing a service associated with a location at which the network exists using the spatial diagnostics data. Another method may include obtaining channel state parameters associated with a communication channel, the channel state parameters changing over time; determining spatial diagnostics data independent of changes to the channel state parameters; and providing a service associated with a location at which the network exists using the spatial diagnostics data. Another method may include monitoring activity at a location based on spatial diagnostics data associated with a communication channel of a network with a WAP; and in response to detecting an unrecognized device at the location, calibrating the WAP to nullify parameters of the communication channel from the unrecognized device without disrupting communication with authorized devices.

Abstract: Approaches are described for accurate spatial diagnostics data and channel state information (CSI) recording due to dynamic bandwidth selection and other network changes in a wireless local area network (WLAN). Data transmissions such as channel soundings of a network, including data communications between networked computing devices on a communication channel of the network, can be obtained. The data communications can be associated with channel state parameters that can describe characteristics of the channel through which data is transmitted. The channel state parameters can be monitored overtime to detect a trigger event on the network. A type of trigger event can be determined based on channel state parameters before and after the event. Optimization parameters (e.g., operation parameters, calibration parameters, etc.) or other such information can be determined based on the type of trigger event.