The present application a digital self-interference residual cancellation method that adjusts a magnitude of a sampled transmit signal based on compared magnitude and phases associated with tones. The digital self-interference residual cancellation method may follow an analog carrier cancellation stage where the digital self-interference residual cancellation is based on a determination of the channel circuit response used to control an infinite impulse response filter which can compensate using both poles and zeroes.

Techniques to manage dwell times for pilot rotation are described. An apparatus may comprise a memory configured to store a data structure with a set of modulation and coding schemes (MCS) available to an orthogonal frequency division multiplexing (OFDM) system, each MCS having an associated pilot dwell time. The apparatus may further comprise a processor circuit coupled to the memory, the processor circuit configured to identify a MCS to communicate a packet using multiple subcarriers of the OFDM system, and retrieve a pilot dwell time associated with the MCS from the memory, the pilot dwell time to indicate when to shift a pilot tone between subcarriers of the multiple subcarriers during communication of the packet. Other embodiments are described and claimed.

In one embodiment, a method for determining self-interference in radio full duplex includes transmitting, by a first radio transmitter and an antenna, a first signal and receiving, by a first radio receiver and the antenna, a reflection of the first signal. The method also includes estimating a channel in accordance with the first signal and the reflection of the first signal to produce an estimated channel and determining a second signal in accordance with the estimated channel. Additionally, the method includes transmitting, by a second radio transmitter, the second signal and removing a self-interference component of the reflection of the first signal to produce a corrected signal.

The present application describes a computer-implemented method for configuring a front end including receiving a first signal and a second signal containing interference; characterizing the receive channel using the first tone; processing the compensated first signal using an infinite impulse response filter based on the characterized receive channel to generate an interference cancelling signal; and coupling the interference cancelling signal to the second signal to generate an interference cancelled receive signal. The present application also describes a computer-implemented apparatus for a front end.

Systems and methods for Wi-Fi sensing are provided. A method for Wi-Fi sensing carried out by a sensing decision unit in operation on at least one processor configured to execute instructions. Measured channel state information (M-CSI) representing a sensing measurement and receiver front end state information (RFE-SI) are received. According to the RFE-SI, sensing decision input information is determined.

An apparatus for enhancing an input phase distribution (I(x.sub.i)) is configured to retrieve the input phase distribution (I(x.sub.i)) and compute a baseline estimate ((x.sub.i)) as an estimate of a baseline (I.sub.2 (x.sub.i)) in the input phase distribution (I(x.sub.i)). The apparatus is further configured to obtain an output phase distribution (O(x.sub.i)) based on the baseline estimate ((x.sub.i)) and the input phase distribution (I(x.sub.i)).

A method includes determining a least squares channel estimate (LSE) of a channel, removing a first Orthogonal cover code (OCC) sequence from the LSE thereby generating a first signal, determining an estimated timing offset of the first signal, adjusting a first timing of the LSE based on the estimated timing offset thereby generating a second signal with an adjusted timing, removing a second OCC sequence from the second signal thereby generating a third signal, determining a channel estimate of the channel based on the third signal, determining a noise power of a received signal, determining a signal power of the received signal, determining a signal to noise ratio (SNR) of the received signal based on the noise power and the signal power, adjusting a data rate of the channel based on the SNR, and transmitting an output signal based on an adjusted data rate of the channel.

Methods and apparatus of channel estimation using time-domain parameter extraction are disclosed. The wireless channel can be modeled by a multipath model with a limited number of parameters in the continuous time domain. In the discrete time domain, the multipath model leads to channel impulse responses that have a limited number of channel taps with non-negligible energy. Extracting the time-domain parameters and then reconstructing the channel yields channel estimates that have better accuracy. Time-domain parameter extraction also has lower computational complexity than existing methods.

The present application describes a computer-implemented method for configuring a front end including sweeping a first tone through the frequency band of the receive channel; receiving a first signal and a second signal containing interference; characterizing the receive channel using the first tone; processing the compensated first signal using an infinite impulse response filter based on the characterized receive channel to generate an interference cancelling signal; and coupling the interference cancelling signal to the second signal to generate an interference cancelled receive signal.

The present application describes a computer-implemented method for configuring a front end including sweeping a first tone through the frequency band of the receive channel; receiving a first signal and a second signal containing interference; characterizing the receive channel using the first tone; processing the compensated first signal using an infinite impulse response filter based on the characterized receive channel to generate an interference cancelling signal; and coupling the interference cancelling signal to the second signal to generate an interference cancelled receive signal.