561 results about "Pulse response" patented technology

A test and measurement instrument has a port to receive a signal from a device under test (DUT), one or more processors configured to execute code that causes the one or more processors to acquire a waveform from the signal, derive a pattern waveform from the waveform using one of either hardware or software clock recovery, perform linear fit pulse response (LFPR) extractions on the pattern waveform to extract more than one LFPR, determine a reference pulse response from the more than one LFPRs, compare at least one of the LFPRs to the reference pulse response to determine a difference, and tune the DUT to reduce the difference. The test and measurement instrument may also use the multiple LFPRs as an input to a machine learning network to perform measurement predictions for the DUT.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, an initiating device may transmit a signal that includes multiple packets. The initiating device may receive, from a responding device, a channel impulse response (CIR) report for each packet of the multiple packets. The initiating device may align, using one or more taps in the CIR report for each packet, the CIR reports across the multiple packets to identify a target object, a location of the target object, or a movement of the target object. The initiating device may perform an action based at least in part on the target object, the location of the target object, or the movement of the target object. Numerous other aspects are described.

The invention is applied to the field of mechanical fault diagnosis signal processing, and particularly provides a pulse neural network mechanical fault diagnosis method based on STFT dimension transformation, and the method comprises the steps: collecting a one-dimensional mechanical vibration signal, carrying out the wavelet decomposition, carrying out the wavelet reconstruction of a low-frequency component and a denoised high-frequency component, and carrying out the wavelet reconstruction of the low-frequency component and the denoised high-frequency component; obtaining a denoised one-dimensional vibration signal; performing short-time Fourier transform, and converting the time-frequency two-dimensional matrix into a time-frequency two-dimensional matrix; inputting the time-frequency two-dimensional matrix into an improved HH threshold neuron model, carrying out Poisson sparse coding on the time-frequency two-dimensional matrix, and only carrying out pulse response on signal significant features; constructing a suprathreshold coding convolutional network with residual connection, inputting a sparse coding matrix, training by adopting an unsupervised learning rule based on STDP, and adaptively adjusting a network synaptic weight; and inputting to a trained above-threshold coding convolutional network, and obtaining pulse emission activity of neurons of an output layer through network forward propagation to determine a fault diagnosis result.

In at least one embodiment, an active noise cancellation (ANC) system is provided. An audio signal source provides an audio signal. At least one loudspeaker projects anti-noise sound within a cabin. At least one microphone provides a first error signal indicative of the noise, the audio signal, and the anti-noise sound and a second error signal indicative of an estimated anti-noise signal. At least one controller is programmed to receive the first error signal and the second error signal and to provide an estimated impulse response based at least on the first error signal and the second error signal. The at least one controller is further programmed to compare the estimated impulse response to one or more pre-stored impulse responses; and to select a first pre-stored impulse response that matches the estimated impulse response to filter one or more reference signals at an adaptive filter to generate the anti-noise signal.

This disclosure provides methods, components, devices and systems for adjacent channel interference (ACI) mitigation techniques for ultra-wideband (UWB) systems. Some aspects more specifically relate to ACI mitigation for UWB systems. In some implementations, a wireless communication device may receive control information that identifies a preamble for communications to the wireless communication device in a UWB system. The wireless communication device may receive, via a signal in the UWB system, a data packet that includes the preamble. The wireless communication device may estimate a channel impulse response (CIR) of the signal and determine an interference metric that is based on the estimated CIR. The wireless communication device may process the data packet based on the interference metric.

The invention discloses an indoor UWB-IMU fusion trajectory tracking system and method based on factor graph optimization, and belongs to the technical field of UWB indoor positioning. The system adopts a multi-stage processing framework, and specifically comprises the following steps: firstly, collecting channel pulse response and distance information by virtue of a wireless communication system, constructing a dynamic environment sensing mechanism, and evaluating the current channel state and the availability of each base station in real time; secondly, for the ranging values of the available base stations in the NLOS environment, compensating by using historical information, and for the ranging values of the unavailable base stations, estimating and correcting by using a time step length; and finally, collaborative optimization is carried out on UWB ranging data, IMU inertial information and base station state information through an SW-FGO algorithm, so that positioning stability is ensured, and adverse effects of obstacle shielding and a multipath effect on trajectory tracking precision are reduced. The invention provides a fusion positioning system which combines the advantages of UWB and IMU, can realize the tracking of a target motion track, and is suitable for most LOS and NLOS indoor mixed scenes.

An eye-diagram index analytic method includes: calculating a transfer function of multiple coupled lines; converting the transfer function into a pulse response; calculating an eye-diagram index according to the pulse response; and correcting the eye-diagram index according to peak distortion analysis.

A method in a network node and a network is provided to determine line of sight, LOS, base stations for a user equipment (UE) is provided. A request is provided to at least one of the UE and a plurality of base stations to measure and report LOS detection measurements, wherein the plurality of base stations includes base stations of a serving cell of the UE. The LOS detection measurements are received from the at least one of the UE and the plurality of base stations. LOS base stations for the UE are determined based on the LOS detection measurements. An indication of the LOS base stations is transmitted to the UE.

A feature extraction and simulation method for sound signals of an autonomous navigation ship tunnel thruster. A digital filter is used to process measured signals to remove spike signals, and the characteristics of residual wideband floor noise signals are analyzed. A finite impulse response filter is designed, and the impulse response of the finite impulse response filter is convolved with white Gaussian noise, so that simulated noise is matched with frequency-domain characteristics of floor noise signals. A spike signal amplitude is calculated, and a group of sine wave signals having a corresponding frequency are generated as spike signals. Narrowband spike signals and wideband floor signals are superposed and synthesized into simulated tunnel thruster noise. A feasible solution is provided for research and analysis of sound signals of a tunnel thruster. The sound characteristics of the tunnel thruster are accurately extracted, a predicted sound level is improved, and a tunnel thruster sound source database is established, thus providing valuable data support for signal quality analysis of a ship autonomous navigation system, fault diagnosis and improvement of a control strategy for the tunnel thruster.

The invention discloses a distribution network power line anti-interference communication method based on adaptive filtering, and belongs to the technical field of distribution network power line communication. According to the method, a communication signal adopting a frequency shift keying modulation mode is acquired from a power line coupler of a distribution network through a signal acquisition module, the communication signal is preprocessed by using a digital signal processing unit, spectral analysis is performed on the preprocessed signal, and characteristic parameters of interference noise are extracted; a coefficient vector of a finite impulse response adaptive filter is initialized based on the characteristic parameters, the order of the filter is in direct proportion to the reciprocal of the dominant interference frequency, fine adjustment is carried out based on noise energy distribution through a table look-up method or a linear mapping relation, and the weight coefficient of the filter is adjusted in real time in the communication process. The adjustment step length is dynamically adjusted according to the real-time estimated signal-to-noise ratio, and finally, the processed signal is output through the adaptive filter and data demodulation is carried out. The method is mainly used for improving the anti-interference capability and the communication reliability of the power private line communication of the distribution network.

An example method of ultra-wideband (UWB) sensing performed by a wireless communication device, the method comprising determining a first channel impulse response (CIR) estimation of a first frequency channel based on a radio access technology (RAT) session, wherein the RAT is different from UWB. The method also comprises determining a second CIR estimation of a second frequency channel based on a UWB session and determining a third CIR estimation of the first frequency channel based on determining a phase difference between the third CIR estimation and the first CIR estimation. The method further comprises determining a total CIR estimation for a combined frequency channel comprising the first frequency channel and the second frequency channel based on stitching the first CIR estimation, the second CIR estimation, and the third CIR estimation.

The invention discloses a GNSS element signal interference suppression method and system based on double complex number modeling, and the method comprises the steps: firstly introducing a double complex number model, carrying out the modeling of a received multi-frequency multi-path signal, and obtaining a GNSS element signal; secondly, carrying out modular operation projection on the GNSS element signal to obtain time-frequency domain analysis of the element signal, and obtaining a ridge value through detection; and correcting the ridge value to obtain instantaneous frequency estimation and instantaneous frequency modulation slope estimation of the element signal interference carrier and subcarrier, and applying the instantaneous frequency estimation and the instantaneous frequency modulation slope estimation to a finite impulse response filter to obtain the finite impulse response filter based on double complex numbers. And finally, performing double complex Kalman filtering on the received element signal to obtain an interference estimation value, removing the interference estimation value from the received element signal, and taking a real part to obtain a GNSS expected signal. According to the method, the high-precision interference is estimated by using the high-precision interference parameter estimation value and the double-complex Kalman filtering, and interference suppression in a multi-frequency multi-path environment is efficiently realized.

The invention relates to the technical field of communication, discloses a full-link channel modeling method for a high-fidelity air-sea cross-domain cluster network, and aims to solve the problem of stagnation of an air-sea cross-domain communication network simulation technology. Through a full-link channel modeling technology, influence factors of a radio channel and an underwater acoustic channel are considered, including relative distance, communication frequency, propagation loss, sea surface temperature and diffusion coefficient in the radio channel, and macroscopic multipath, microscopic multipath and Doppler frequency shift in the underwater acoustic channel. According to the method, related parameters are input, a Jakes model and Bellhop software are used for channel modeling, and finally channel impulse response is obtained through IFFT, so that the reliability and stability of a communication system in a complex environment are improved.

Systems, methods, software, and devices are disclosed herein that transform spatial input into modal output comprising learned modal components of an impulse response. A neural network interpolates the modal components of the impulse response based on a desired sound source direction represented in the spatial input. The learned modal components are then used to determine coefficients for an infinite impulse response filter that transforms anechoic audio into spatialized audio. The spatialized audio provides a directional effect to a listener as having arrived from the desired sound source direction.

The invention belongs to the technical field of artificial intelligence, and discloses an energy data acquisition encryption and privacy protection method and system. The power grid frequency deviation FREQ of a power line carrier communication system is obtained at the time of power grid data acquisition, and deviation information at different time points is combined into a random number sequence by using a hash function; a specific pulse signal is sent at a data acquisition point to obtain PLC channel pulse response CIR, a minimum mean square error estimation algorithm is used for processing, and key features such as the maximum pulse amplitude are extracted to serve as channel feature values. And then, inputting the random number sequence and the channel characteristic value into a deep reinforcement learning model trained by a large amount of historical data to generate an encryption key. And finally, encrypting the acquired energy data by adopting an AES algorithm based on the key, transmitting the energy data through an OFDM technology, and meanwhile, generating the key again according to the change of a channel characteristic value by setting a self-adaptive security mechanism. According to the method, the safety and privacy of energy data acquisition and transmission are remarkably improved.

This disclosure relates to techniques for performing beam selection using machine learning assistance in a wireless communication system. A wireless device and a cellular base station may establish a wireless link. An artificial intelligence model to use for beam selection may be determined. Channel impulse response information for a cell in a first frequency range may be determined. A downlink beam for a cell in a second frequency range may be selected based at least in part on the artificial intelligence model and the channel impulse response information for the cell in the first frequency range.

A method and a circuitry to perform clock and data recovery, CDR is provided. The method includes the steps of obtaining an analogue communication signal characterized by a symbol frequency Fsymbol; and performing an analogue-to-digital conversion of the analogue communication signal according to a sampling rate Fsample targeting Fsymbol*(M / L) thereby obtaining a digital signal. The method includes up-sampling the digital signal by L; filtering the up-sampled digital signal with filter coefficients of a finite impulse response, FIR, filter to perform a fractionally-spaced equalisation; and down-sampling the filtered digital signal by M resulting in a recovered digital signal. Intermediate filter coefficients are obtained for the FIR filter and a phase error is determined based on the recovered digital signal. The intermediate filter coefficients are interpolated based on the phase error to compensate for the phase error, resulting in interpolated filter coefficients; and the filter coefficients of the FIR filter are updated with the interpolated filter coefficients.

Serializer / deserializer (SerDes) modules, equalizers, and equalization techniques having robust parameter initialization may substantially reduce convergence time. One illustrative equalizer includes: a discrete-time, finite impulse response (“FIR”) filter to convert a receive signal to a filtered signal; a decision element to determine channel symbols represented by the filtered signal; and a controller. The controller is configured to, for each of multiple values in a search range, estimate a performance of the equalizer based on the channel symbols and at least one of the filtered signal or an input signal to the decision element; configured to find a centroid value based on the performance for each of the multiple parameter values in the search range; and configured to derive an initial value for the parameter from the centroid value.

This disclosure provides methods, components, devices and systems for adjacent channel interference (ACI) mitigation techniques for ultra-wideband (UWB) systems. Some aspects more specifically relate to ACI mitigation for UWB systems. In some implementations, a wireless communication device may receive control information that identifies a preamble for communications to the wireless communication device in a UWB system. The wireless communication device may receive, via a signal in the UWB system, a data packet that includes the preamble. The wireless communication device may estimate a channel impulse response (CIR) of the signal and determine an interference metric that is based on the estimated CIR. The wireless communication device may process the data packet based on the interference metric.

The invention belongs to the technical field of reverberators, and relates to a reverberator cloning method and device. The reverberator cloning method comprises the following steps: acquiring a cloning signal, sending a test audio signal, and collecting a return audio signal of the test audio signal; performing deconvolution operation on the test audio signal and the return audio signal to obtain a pulse response signal; segmenting the pulse response signal to obtain a plurality of signal segments; performing fast Fourier transform processing on each signal segment to obtain a clone sample of each signal segment; a cloning sample is selected according to requirements so as to realize cloning of the reverberator; the return audio signal has a reverberation feature. According to the invention, a one-stop reverberation cloning scheme can be provided, the blank of a small convolution reverberator and reverberation cloning equipment in the market is filled, and a user can clone any kind of reverberation effect through very simple operation.

The disclosure relates to techniques for power efficient and smart echo cancellation. An apparatus is provided that comprises a finite impulse response filter having a set of M+1 filter coefficients for filtering values of a reference signal to obtain a first filtered reference signal. The apparatus comprises an interval selector for selecting values of the reference signal associated with a k-th time interval of an echo impulse response having N time intervals. The apparatus comprises M delay elements arranged after the interval selector for successively delaying the selected values. The apparatus comprises M+1 error estimators. A first error estimator is coupled to an output of the interval selector. Each of the remaining M error estimators is coupled to an output of a respective delay element. The M+1 error estimators are configured to determine the M+1 filter coefficients to minimize deviation between the first filtered reference signal and the received signal.

The invention relates to a signal behavior model conversion method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring an initial scattering parameter in a frequency domain parameter model, and establishing an equivalent passive circuit model according to the initial scattering parameter; wherein the initial scattering parameter refers to a frequency domain scattering matrix parameter used for describing a signal transmission path; determining direct current point information according to the equivalent passive circuit model, and correcting the initial scattering parameter according to the direct current point information to obtain a corrected scattering parameter; determining corresponding pulse response data according to the corrected scattering parameter, and updating the corrected scattering parameter according to the pulse response data to obtain a target scattering parameter; and generating a target circuit model according to the target scattering parameter. By adopting the method, the conversion precision of the S-parameter-based circuit model can be improved.

The invention provides a UWB-based living body detection and UWB positioning fusion multiplexing method and device and a vehicle, the fusion multiplexing method is applied to the vehicle, the vehicle is provided with a UWB anchor point and a group of UWB antennas, the UWB anchor point is provided with a UWB chip, the UWB chip is provided with a radar register and a ranging register, the radar register is configured to be in a radar mode, and the ranging register is configured to be in a ranging mode. The ranging register is configured to be in a ranging mode, and comprises the following steps: in a session period, acquiring first channel impulse response (CIR) data in a radar mode and acquiring second CIR data in the ranging mode through a UWB anchor point and a UWB antenna respectively; performing living body detection according to the first CIR data; and performing UWB positioning according to the second CIR data. The technical problem of high cost caused by the fact that two functions of living body detection and positioning can be completed at the same time only by using two anchor points to work cooperatively at the same time is solved.

A method for designing pilots inserted into orthogonal frequency division multiplexing (OFDM) waveform intended for channel estimation such that the channel can be seen and estimated in both time-frequency and delay-Doppler domains. The ability of estimating the sparsest channel impulse response will provide environment mapping and therefore sensing.

A chromatic dispersion compensation filter is configured to multiply each of a real component and an imaginary component of each of a first polarization and a second polarization of a polarization-multiplexed optical signal by a filter coefficient that compensates for chromatic dispersion. An adaptive equalizer is configured to multiply input signals and their phase conjugates by a complex impulse response and add the signals multiplied by the complex impulse response. The adaptive equalizer is configured to perform, for each polarization, phase rotation for carrier phase compensation including a frequency offset and rotation reverse to the phase rotation and add, for each polarization, the signals subjected to the phase rotation and the signals subjected to the rotation reverse to the phase rotation.

A hearing device comprises a) at least one input transducer configured to pick up sound from an acoustic environment around the user when the user is wearing the hearing device, the at least one input transducer providing at least one electric input signal representative of said sound, b) at least one analysis filter bank configured to provide said at least one electric input signal as a multitude of frequency sub-band signals, the at least one analysis filter bank comprising b1) a plurality of M first filters hm(n), whose impulse responses are modulated from a first prototype filter h(n), where m=0, 1, . . . , M−1 is a frequency band index, and n is a time index, c) a processor for processing said at least one electric input signal provided by said at least one analysis filter bank, or a signal originating therefrom, and providing a processed signal, d) an output transducer configured to provide stimuli perceivable as sound to the user in dependence of said processed signal, and e) a controller for controlling said analysis filter bank by applying a different first prototype filter to said at least one filter bank in dependence of said current acoustic environment. A method of operating a hearing device is further disclosed.

The invention belongs to the technical field of music equipment, and relates to a traceless loading method and device for ultra-long pulse response, equipment and a medium. The method comprises the following steps: acquiring an input signal and an ultra-long pulse response file needing to be loaded; segmenting the ultra-long impulse response file to obtain a plurality of file segments; when a switching pulse response signal is received, convolution operation is carried out on an input signal and a first file segment to obtain a first signal segment, and the first signal segment is output in real time; and sequentially traversing each file segment according to the sequence of the file segments, and outputting the corresponding signal segments in real time, so that when the previous signal segment is loaded, the next signal segment is output, and traceless loading is realized. According to the invention, real-time convolution can be realized, and traceless loading of ultra-long pulse response can be realized.

A method for phase correction includes determining a channel impulse response of a first component carrier associated with a first bandwidth, and determining a location of a first impulse response peak within the first bandwidth. A location of a second impulse response peak within a second bandwidth associated with the first component carrier or with a second component carrier is determined based on the location of the first impulse response peak. The second bandwidth is disjoint with the first bandwidth. A phase correction of one of a channel frequency response of the first bandwidth and a channel frequency response of the second bandwidth is performed based on the first impulse response peak and the second impulse response peak.

Aspects of the present disclosure include a biometric device configured to receive biometric signals from sensors placed on a subject, and attenuate at frequencies causing noise in the biometric signals. Aspects are directed to a finite impulse response (FIR) filter configured to attenuate noise frequencies caused by line frequencies and / or flicker frequencies. Aspects of the FIR filter may be configured based on an analog-to-digital (ADC) sampling rate.

The embodiment of the invention provides a control method for sound partitions in a space, electronic equipment, a vehicle and a medium, and the method comprises the steps: determining a first sound source pulse response of a target sound field, the first sound source pulse response being a pulse response of a preset sound source in front of the target sound field; and based on an electro-acoustic transfer function of a bright area, the first sound source pulse response, an electro-acoustic transfer function of a dark area and an optimization function, determining a driving signal of each loudspeaker, namely, restraining the first sound source pulse response as a pulse response of a preset sound source in front of the target sound field, and finally, determining a more accurate loudspeaker driving signal through an optimization function. Therefore, it is clear that the sound image position of the replay sound field is right ahead of the listener, and the listening comfort is improved.