Maxlinear, Inc.

Silvus Technologies, Inc.

University of California

Mansour Rachid

Curtis Ling

Timothy Leo Gallagher

Weijun Zhu

Sudhakar Pamarti

Babak Daneshrad

Yi Jiang

Ajit Warrier

Phillip James Duncan

Gaelen Stanislaus Pereira

Certain disclosed embodiments pertain to suppressing interference in a wireless communication system. For example, a method of suppressing interference can include receiving one, two, or more first signals including components from a plurality of sub-channels. Each of the first signals can be processed by a Finite Impulse Response filter adapted using an LMS update algorithm.

Adaptive wideband interference cancellation for MIMO networks

A wireless communication system may include a plurality of nodes that use a medium access control (MAC) protocol to communicate over a shared medium or a primary channel. The MAC protocol may include a non-transmitting state during which one or more nodes are silent in the primary channel while two nodes in the wireless communication system are in communicating over the primary channel. Systems and methods described herein use medium access protocol (MAC) underlay signaling, which may include measuring or sensing availability for spectrum or transmitting data without the loss of network throughput over a secondary channel in a wireless communications system. In some embodiments, the systems and methods described herein use dynamic spectrum access (DSA) protocols to switch the channel of communication in the wireless communication system.

Single transceiver-DSA via MAC-underlay sensing and signaling

Nonlinearity correction in a device that performs analog-to-digital conversion on received analog signals, may be calibrated by generating correction-parameters estimation which when applied to the total spectral content reduces distortion resulting from said nonlinearity in originally-unoccupied spectral regions. Digital signals generated based on sampling of the received analog signals may then be corrected, to remove nonlinearity related distortion, based on the estimated correction-parameters. The nonlinearity calibration may be performed during reception and handling of said analog signals. The correction-parameters may be generated based on signals located in particular spectral regions, such as the originally-unoccupied spectral regions. These signals may be injected within the device, into the particular spectral regions, and the signal may have known characteristics to enable estimating the required correction.

Method and system for broadband analog to digital converter technology

Methods and systems are provided for reconstructing bands in received signals. A first band in a received multiband signal may be reconstructed, during processing of the multiband signal, when the first band is self-aliased during sampling of a second band. The reconstructing may comprise generating a plurality of components corresponding to the first band, based on the sampling of the second band, and combining the plurality of components to reconstruct the first band. Generating a first component may comprise applying high-pass filtering and/or decimation to an input corresponding to an output of the sampling of the second band. Generating a second component may comprise applying low-pass filtering and/or re-sampling to an input corresponding to an output of the sampling of the second band. An adjustment may be applied, when generating the second component, based on sampling of the first band. The adjustment may comprise a subtraction from sampling output.

A method and apparatus for selective programmable filtering using analog circuits with time-varying components (e.g., resistances, capacitances) is presented. An analog front end receives an electronic signal and filters said signal by a passive or active continuous-time filter, having a combination of equivalent memory-less (e.g., resistive) and memory (e.g., capacitive or inductive) elements. A variable resistor circuit allows switching through a range of values to control one or more of the equivalent resistances of the passive or active continuous-time filter. The variable resistors are controlled using a control circuit to periodically modulate the resistances in the continuous-time filter between periodic sampling instances, such as during analog to digital conversion. Such periodic modulation of the resistances in the continuous-time filter allows for the programming and enhancement of the selectivity of said filter.

Sharp programmable filters using periodically time-varying components

Methods and systems are provided for generating correction estimates. Training signals may be injected into one or more particular spectral regions, and one or more correction estimation parameters may be determined based on the injecting of the training signals, where the one or more correction estimation parameters reduce distortion in at least the one or more particular spectral regions. The particular spectral regions may comprise originally-unoccupied spectral regions. The one or more correction estimation parameters may be applied during correcting of digital signals generated based on processing of received analog signals. The training signals may be generated, such as based on one or more pre-defined characteristics. The one or more correction estimation parameters may then be determined based on the one or more pre-defined characteristics of the training signals and/or changes thereto.

Methods and systems are provided for calibrating nonlinearity correction during analog-to-digital conversions on received analog signals. Correction-parameters may be estimated, such as to reduce, when applied to total spectral content, distortion resulting from the nonlinearity in originally-unoccupied spectral regions. Digital signals generated based on sampling of the received analog signals may then be corrected, to remove nonlinearity related distortion, based on the estimated correction-parameters. The nonlinearity correction calibration may be performed during reception and handling of the analog signals. The correction-parameters may be generated based on signals located in particular spectral regions, such as the originally-unoccupied spectral regions. These signals may be injected within the device, into the particular spectral regions, and the signal may have known characteristics to enable estimating the required correction.

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Los Angeles, CA, United States of America

Mansour Rachid