A processing platform in illustrative embodiments comprises one or more processing devices each including at least one processor coupled to a memory. The processing platform is configured to extract channel features of a wireless channel of a wireless system from channel state information characterizing a radio geometry of the wireless channel, to generate a forward charting function that maps the extracted channel features to a channel chart characterizing a representational spatial geometry of the wireless channel, and to utilize the channel chart to estimate at least one position-related characteristic of one or more wireless devices in an actual spatial geometry of the wireless channel. Generating the forward charting function illustratively comprises performing an unsupervised learning process to learn the forward charting function from the extracted channel features. The channel chart is illustratively configured to preserve local geometry of multiple spatial locations associated with the extracted features in the actual spatial geometry of the wireless channel.

The invention addresses the problem of recovering an unknown signal from multiple records of brief duration which are presumed to contain the signal at mutually random delays in a background of independent noise. The scenario is relevant to many applications, among which are the recovery of weak transients from large arrays of sensors and the identification of recurring patterns through a comparison of sequential intervals within a single record of longer duration. A simple and practical approach is provided by solving this problem through higher-order spectra is developed. Applying the method to the third-order spectrum, the bispectrum, leads to filters derived from cross bicoherence.

A multi-antenna receiver comprises two or more antennas configured to receive RF signals, pre-filter circuitry configured to split, per antenna, the RF signal received by the respective antenna into two or more sub-signals in different signal bands, selection circuitry configured to select, per signal band, one or more sub-signals according to a selection criterion and to combine, per signal band, the selected sub-signals to obtain a combined signal per signal band, analog-to-digital conversion circuitry configured to convert, per signal band, the combined signals into the digital domain, and recombining circuitry configured to recombine the combined signals converted into the digital domain to obtain a reconstructed signal.

An attenuator is configured to attenuate and phase-shift a radiofrequency signal according to a control signal, having a plurality of first attenuation cells (A.sub.1, A.sub.N1), configured to attenuate said radiofrequency signal by a predetermined value and activated according to a particular bit of the control signal, and implementing a combinatorial logic on the bits of the control signal that are used to control the first attenuation cells, and at least one second attenuation cell (B.sub.1, B.sub.M) configured to attenuate said radiofrequency signal by a predetermined value and activated according to a particular output implementing the combinatorial logic. A control node is also provided for an array antenna having such an attenuator, and an array antenna having an array of such control node and a satellite.

A processing platform in illustrative embodiments comprises one or more processing devices each including at least one processor coupled to a memory. The processing platform is configured to extract channel features of a wireless channel of a wireless system from channel state information characterizing a radio geometry of the wireless channel, to generate a forward charting function that maps the extracted channel features to a channel chart characterizing a representational spatial geometry of the wireless channel, and to utilize the channel chart to estimate at least one position-related characteristic of one or more wireless devices in an actual spatial geometry of the wireless channel. Generating the forward charting function illustratively comprises performing an unsupervised learning process to learn the forward charting function from the extracted channel features. The channel chart is illustratively configured to preserve local geometry of multiple spatial locations associated with the extracted features in the actual spatial geometry of the wireless channel.

An electronic device and method of operating an electronic device are provided. The method includes receiving a wireless charging request from an external electronic device while wireless communication with the external electronic device is performed through a communication circuit of the electronic device, identifying a second frequency, based on a first frequency being used by the wireless communication circuit for the wireless communication, in response to the wireless charging request, and transmitting wireless power to the external electronic device, based on the identified second frequency through a wireless charging circuit of the electronic device while wireless communication with the external electronic device is performed.

Methods, systems, and devices for wireless communications are described that provide a repeater for beamforming a received signal at a first radio frequency via one or more scan angles or beamforming directions and then retransmitting and beamforming the transmitted signal at the first radio frequency via one or more scan angles or beamforming directions. Repeaters may perform heterodyning or downconverting on the received signal to reduce a frequency of the signal from the first frequency to an intermediate frequency (IF), and then band-pass filter the IF signal around a desired center frequency. The repeater may then heterodyne or upconvert the filtered IF signal back to the first frequency for the retransmission of the signal.

Described herein are variable gain amplifiers and multiplexers that embed programmable attenuators into switchable paths to provide variable gain for individual amplifier inputs. The variable gain for an individual input is provided using a amplification stage that is common for each input of the amplifier. A variable attenuation is provided for individual inputs through a combination of a band selection switch and an attenuation selection branch. The attenuation can be tailored for individual inputs and can depend on a gain mode of the amplifier.

Embodiments of the present disclosure relate to methods, apparatuses and computer program products for signal detection in a wireless communication system. A method implemented at a receiver device includes obtaining a set of received signals; determining a channel on which the set of received signals are transported; and detecting a set of transmitted signals from the set of received signals in an iterative manner based on the determined channel, a modulation mode for the set of transmitted signals, and the set of received signals, by using a gradient descent (GD) algorithm. Embodiments of the present disclosure may reduce computation complexity required in signal detection and/or improve detection performance.

A signal transmission method involving: receiving M.Math.N digital transmit signal streams, each of which represents a transmit signal for a different corresponding antenna element of an MN array of antenna elements; generating P digital transmit-beam signal streams from the M.Math.N digital transmit signal streams, wherein each of the P digital transmit-beam signal streams is a corresponding linear combination of the M.Math.N digital transmit signal streams; within an RT Hybrid Massive MIMO system having R.Math.T antenna elements, by applying appropriate phase shifts in an analog domain, causing the RT Hybrid Massive MIMO system to simultaneously generate a set of P independent, differently directed transmit beams; and mapping each of the P digital transmit beam signal streams to a corresponding different one of the P independent, differently directed transmit beams, wherein M, N, P, R and T are integers, wherein R.Math.TM.Math.N, and wherein P<M.Math.N.