17 results about "Channel filter" patented technology

A method is disclosed of selecting users for multi user multiple-input multiple-output (MU-MIMO) communication from an initial set of potential users. The method comprises repeating the following steps in successive iterations until a stopping criterion is met: determining a channel correlation metric for each user in the set of potential users, reducing the set of potential users by exclusion of a user based on the channel correlation metric, and calculating a performance metric of the set of potential users. The method also comprises selecting users corresponding to one of the sets of potential users, wherein the selection is based on a comparison of the calculated performance metrics of the sets of potential users. The channel correlation metric for a user may comprise one or more of: a channel filter norm for the user, a channel norm for the user, a channel gain for the user, pair-wise correlations between the user and one or more other users of the set of potential users, and a channel eigenvalue for the user. The performance metric may comprise one or more of: a sum-rate, a per-user-rate, an average error rate, a maximum error rate, a per-user error rate, and a sum-correlation. Corresponding apparatus, network node and computer program product are also disclosed.

The utility model discloses a series power supply formula low -power consumption television receiving antenna signal amplifier circuit, including UHF signal input terminal anti -static and strong pulse circuit (1), UHF channel filter circuit (2), first -stage UHF channel amplification unit (3), second -stage UHF channel amplification unit (4). Further including amplifier UHF and VHF channel hybrid output circuit (11), VHF signal input terminal anti -static and strong pulse circuit (8), VHF channel filter circuit (9), power supply input rectifier filter circuit (6), voltage stabilizing and decoupling circuit (5), decoupling voltage division's front -stage series power supply circuit (7) and VHF amplification unit (10). Or including RF signal input channel filter circuit (13), first -stage RF channel amplification unit (14), second -stage RF amplification unit (15) and decoupling voltage division's front -stage series power supply circuit (7). The utility model discloses through series power supply mode, make the total current of amplifier equal the current of second -stage amplification unit, relative parallel type circuit saves nearly 50% power consumption, reduces the requirement to transformer power, thereby reduces the cost.

This invention belongs to the field of multi-beam antenna arrays and discloses a filtered multi-beam array and method based on a four-channel filter jumper. By integrating a microstrip-to-substrate integrated waveguide structure, a filter Butler matrix containing a four-channel filter jumper, and an antenna array on a first metal layer, a filtered multi-beam array based on a multi-layer planar structure is constructed. The four-channel filter jumper utilizes multiple resonant cavities and coupling structures, and by precisely controlling the coupling phase between the resonant cavities, a preset phase shift is directly introduced while achieving the filtering response, thus integrating filtering and phase-shifting functions into a single device. This design avoids the complex structure of filter couplers and the additional losses of filter phase shifters in traditional integrated schemes, significantly simplifying the device architecture, reducing transmission loss, improving system integration and beamforming accuracy, and effectively meeting the urgent needs of 5G and future 6G communication systems for high performance, low loss, and high integration.

A remote sensing satellite data transmission subsystem based on multi-stage noise suppression comprises a data transmission integrated intelligent terminal, a multi-stage high-suppression-performance channel filter, an adjustable suppression degree phased array antenna, power supply and control equipment; the signal output by the data transmission integrated intelligent terminal is transmitted through the adjustable suppression degree phased array antenna after being filtered by the multi-stage high-suppression-performance channel filter; the power supply and control equipment is used for power supply and data transmission with the data transmission integrated intelligent terminal and the adjustable suppression degree phased array antenna respectively; the multi-stage high-suppression-performance channel filter suppresses the sensitive frequency band of the data transmission subsystem through its own multi-stage coaxial cavity and tuning screw; the adjustable suppression degree phased array antenna suppresses the sensitive frequency band of the data transmission subsystem by setting resonators in its own filtering module.

The application discloses a multi-channel filter and a frequency selection module thereof. The frequency selection module of the multi-channel filter comprises a multi-channel filter module, an input switch module and an output switch module; input ends of at least two filter channels are connected to an output end of the input switch module after being combined; input ends of at least two other filter channels are connected to another output end of the input switch module after being combined; output ends of the at least two filter channels are connected to an input end of the output switch module after being combined; output ends of the at least two other filter channels are connected to another input end of the output switch module after being combined; and a frequency range set after the input ends of the filter channels are combined is identical to only one frequency range set after the output ends of the filter channels are combined. The switching structure of the filter channels provided by the embodiment of the application is simple and the signal transmission effect is good.

The application discloses a kind of double-channel filters based on diamond-shaped air cavity, belong to microwave device technical field.The filter includes the first resonant cavity and the second resonant cavity of upper and lower stack settings.Crisscross slot is equipped between the first resonant cavity and the second resonant cavity to realize energy coupling.A pair of input ports are equipped on the first resonant cavity, and a pair of output ports are equipped on the second resonant cavity, respectively constitute the first filter channel and the second filter channel of mutually isolated operating frequency band.Input and output port of the same channel are parallel to each other, while the port group of different channels is perpendicular to each other, combined with the two orthogonal rectangular slots in crisscross slot, which can independently control coupling coefficient, effectively realize the independent design of high port isolation and double-channel performance.The application realizes high-performance double-channel filtering in a single compact physical structure by sharing resonant cavity and innovative coupling structure, with the advantages of miniaturization, high integration and good isolation.

The application discloses a method, device and equipment for designing a channel filter and a computer storage medium, and relates to the technical field of wireless communication. The method comprises the following steps: acquiring a signal bandwidth, a baseband sampling rate, a frequency of adjacent channel interference, a noise power spectral density of adjacent channel interference and a noise power spectral density of a signal; calculating a normalized passband cutoff frequency, a normalized stopband cutoff frequency and a stopband attenuation according to the acquired parameters; determining a channel filter coefficient according to the normalized passband cutoff frequency, the normalized stopband cutoff frequency and the stopband attenuation, and obtaining a channel filter corresponding to the channel filter coefficient; inserting a preset value into the channel filter coefficient to obtain a target channel filter coefficient, updating the channel filter, and obtaining a target channel filter. The embodiment of the application realizes the design of a steep transition band channel filter while reducing the structural complexity.

This invention discloses an efficient automatic modulation classification method based on multi-channel filter banks, mainly addressing the problems of low parallel computing efficiency and high model complexity in existing technologies. The implementation scheme is as follows: The input signal undergoes channelization preprocessing and time-aligned concatenation to form a multi-channel input matrix; a dilated convolutional network (DCNN) composed of multiple cascaded dilated convolutional units is established, each DCNN containing a first dilated convolutional layer, a nonlinear activation layer, a second dilated convolutional layer, and a residual connection layer, with the dilation factor of each DCNN increasing layer by layer along the network depth; the DCNN is trained using the RML2018 dataset, and the multi-channel input matrix is ​​input into the trained DCNN to output a multi-channel feature matrix; the multi-channel feature matrix is ​​then subjected to adaptive channel aggregation classification to output the modulation scheme classification result. This invention reduces the number of model parameters and computational complexity, achieving low-latency, high-parallel automatic modulation classification, and can be applied to spectrum monitoring and intelligent signal sensing.

The application discloses a channel filtering method and device for a power line communication system, the method comprising the following steps: S1, obtaining an index set of non-uniform subcarriers allocated to a user and channel estimation values of the non-uniform subcarriers; S2, analyzing a frequency domain index interval of the non-uniform subcarriers; S3, based on an analysis result of the frequency domain index interval, pre-processing the non-uniform subcarriers to form a subcarrier set whose frequency domain index interval meets filtering requirements; S4, generating a corresponding channel filtering coefficient matrix according to a frequency domain index interval characteristic between subcarriers in the subcarrier set; S5, filtering processing channel estimation values of the subcarrier set by using the channel filtering coefficient matrix; and S6, obtaining filtered channel estimation values on all non-uniform subcarriers based on a result of the filtering processing. The application ensures applicability of the filtering coefficient matrix through targeted pre-processing, thereby improving accuracy and reliability of channel estimation.

This invention discloses a compact four-channel filter power divider, belonging to the field of microwave passive device technology. It employs a three-layer board structure consisting of an upper metal surface, a middle dielectric substrate, and a lower metal surface. Functionality is achieved through a resonant cavity structure enclosed by an array of metallized vias within the middle dielectric substrate. The core resonant cavity structure includes an isosceles right-angled triangular first substrate integrated waveguide resonant cavity and two rectangular second and third substrate integrated waveguide resonant cavities. The input port is located at the right angle of the triangular cavity, and the four output ports are arranged in pairs on the two rectangular cavities. This invention, through a single-layer planar integrated structure, combined with vias of different diameters to construct cavities and precision coupling structures, and utilizing resonant cavity mode coupling, achieves the integration of filtering and four-channel equal-amplitude, in-phase power division. It possesses advantages such as compact structure, low loss, simple fabrication, and good channel consistency.

This invention discloses a method for constructing a visual coding model based on physiological data, comprising the following steps: acquiring visual stimulus signals in a continuous time series; constructing a spatiotemporal filter with multiple channels, convolving the visual stimulus signal with each channel filter, and inputting the convolution result into a corresponding nonlinear function for composition to obtain selective features; parameterizing the nonlinear function into a linear combination of a set of nonlinear basis functions; convolving the past responses of neurons with a historical response spatiotemporal filter to obtain historical responses, and nonlinearly fusing them with selective features through a global nonlinear function to obtain neuronal responses; jointly optimizing model parameters based on an objective function; and extracting motion features of the visual stimulus signal based on the jointly optimized model. This invention can accurately simulate the processing mechanism of visual neurons for complex motion information, significantly improving the model's generalization ability and computational efficiency in dynamic scenes.

This invention relates to an adaptive time-frequency joint filtering method for electrostatic data from solid rocket motor exhaust. The method includes the following steps: constructing a main channel filtering algorithm to suppress the fundamental combustion oscillation, employing an adaptive IIR notch filter, with the core frequency detected by a real-time FFT algorithm and the bandwidth dynamically adjusted according to the combustion state; constructing an auxiliary channel to suppress harmonics, consisting of multiple parallel notch filters, each corresponding to a harmonic frequency, with the harmonic order adaptively determined based on the fundamental attenuation; addressing the phase distortion problem of traditional IIR filters by using forward-backward filtering to offset phase shift; particle pulse detection is the core of solid rocket motor exhaust electrostatic signal processing, aiming to accurately identify transient pulses (1-5 μs) generated by Al2O3 particle collisions; this invention uses a wavelet domain adaptive algorithm based on multi-scale noise separation, a time-varying threshold mechanism, and the SURE optimization criterion to suppress combustion oscillations and noise in the exhaust electrostatic signal while preserving particle pulse information.

The application discloses a high-throughput satellite shared downlink C / I performance improvement design method. In the process of beam downlink signal forwarding, channel filtering performance influences C / I performance in the beam coverage area. The biggest determining factor of the channel filtering performance is the filtering performance after frequency conversion. The filtering performance is improved by performing multi-channel filtering processing on the signal after frequency conversion and then performing interval channel signal combining processing. The application can obtain better channel out-of-band suppression performance, and the adjacent channel suppression performance is obviously improved compared with the wideband filtering mode. According to the frequency planning of 12% protection bandwidth, the suppression ability of the adjacent edge frequency of the adjacent channel is generally above 15 dB, and the filtering performance of the center frequency point can reach about 30 dB. Considering the inter-channel suppression performance of the output filter, the system can obtain good channel C / I performance.

The utility model relates to signal processing technical field discloses a kind of multichannel filter, including adjustable parameter filter module and crosstalk compensation module, adjustable parameter filter module is electrically connected bidirectionally with crosstalk compensation module, adjustable parameter filter module is electrically connected bidirectionally with low-power control module, low-power control module includes low-power DSP chip, low-power filter element and dormancy control unit, the dormancy control unit is electrically connected bidirectionally with adjustable parameter filter module, adjustable parameter filter module includes DSP chip, high-speed data bus and filter unit.In the utility model, through the bidirectional connection of adjustable parameter filter module, crosstalk compensation module and low-power control module, dynamic self-adaptive adjustment to signal parameter, crosstalk suppression of high-density composite signal are realized, and the accuracy of signal processing and anti-interference ability are improved.

This invention discloses a small, equal-band dual-frequency transceiver based on wireless communication technology. It includes a ceramic dielectric body, a tuning element, a multilayer circuit body, and an external electrode assembly. The tuning element is disposed on top of the ceramic dielectric body. The multilayer circuit body is disposed inside the ceramic dielectric body and electrically connected to the tuning element through a via structure. The multilayer circuit body includes a low-frequency channel filter and a high-frequency channel filter. The external electrode assembly is disposed at the bottom of the ceramic dielectric body. The low-frequency channel filter outputs signals within a set low-frequency band, and the high-frequency channel filter outputs signals within a set high-frequency band. This invention achieves a large capacitance value within a small volume by using vertical coupling. By setting the tuning element, the stopband bandwidth and suppression depth of the dual-frequency transceiver can be flexibly adjusted by changing the value of the tuning element, resulting in miniaturization, wide stopband, high suppression, and tunability.

The application provides a kind of joint frequency offset estimation paired carrier multiple access signal single channel blind separation method, first using received signal to estimate each signal parameter, the initialization of channel filter is realized;Symbol sequence is searched, and the sampling waveform is reconstructed based on the current channel filter;Through the reconstructed sampling waveform and actual sampling waveform, the cumulative metric of survivor path is calculated and the update of survivor path is carried out based on cumulative metric;Based on the error model of frequency offset and channel filter coefficient, the channel estimation is updated path by path using extended Kalman filter;Finally, the channel filter coefficient of next symbol time is predicted through the optimal estimation of channel parameter.The application establishes the error transfer model of frequency offset and channel filter coefficient, separates the frequency offset error, carries out joint estimation with time invariant channel filter coefficient, fully utilizes the prior information that channel filter coefficient produces deterministic change under the driving of frequency offset error, and realizes the optimal estimation of channel parameter.