19 results about "Channel equalisation" patented technology

The application provides a channel equalization method based on a frequency sampling method, which comprises the following steps: obtaining a frequency domain quotient by taking a frequency response of a channel to be equalized and a reference channel; obtaining a frequency of an ideal equalization filter through a band-pass filter and a frequency domain entropy; performing an IFFT transformation on the ideal equalization filter; and performing several iterations according to channel performance to obtain an ideal equalization filter coefficient. Based on the ideal equalization filter coefficient, an actual equalization filter is constructed through a FIR filter model to complete equalization of the channel to be equalized. The method avoids inverse operation of a matrix of a conventional frequency domain least square method, reduces complexity of the algorithm, and can be realized in real time in engineering. Meanwhile, the method further improves equalization accuracy by using a band-pass filter and an iteration mode.

The invention relates to an active equalization circuit, and belongs to the technical field of battery equalization in a battery management system. The system comprises a conversion unit, a control unit and a plurality of equalization modules. The equalization module comprises a one-way conduction device, a switching device, a transformer and a rectification filter circuit. The one-way conduction device, the primary winding of the transformer and the switching device are connected in series according to any sequence to form a series structure and are connected to the output end of the conversion unit; a secondary winding of the transformer is connected with the input end of the rectification filter circuit; the output end of the rectifying and filtering circuit is connected with the corresponding battery cell node; the one-way conduction device limits the current direction so as to avoid energy streaming between the equalization modules; and the control unit is connected with the switching device and is used for controlling the conducting state of the switching device. The active equalization circuit provided by the invention is simple in structure and flexible to control, can simultaneously equalize a plurality of channels, and is high in equalization efficiency.

The invention particularly relates to a multi-frame medium signal-to-noise ratio channel equalization method based on measured data, and the method comprises the steps: carrying out the MTD of single-frame CPI data based on a multi-frame pulse coherent accumulation principle, achieving the clutter separation of a moving target and a ground object, extracting a target echo, carrying out the pulse compression processing, carrying out the envelope alignment and peak value normalization of multi-frame pulse pressure data, and carrying out the equalization of a multi-frame medium signal-to-noise ratio channel. Inter-frame complex number accumulation is carried out after normalization, on the premise that extra hardware cost input is not needed, the main lobe and side lobe ratio gain of the target pulse pressure result is remarkably improved, meanwhile, accurate channel equalization is achieved with the ideal pulse pressure result as the reference, dependence of a traditional channel equalization algorithm on the high signal-to-noise ratio is avoided, and MTD moving target detection of each frame of data can be taken into consideration. The actual measurement result shows that the algorithm can effectively improve the echo signal-to-noise ratio through coherent accumulation of multi-frame target pulse pressure results under the signal-to-noise ratio in a single frame, then carries out channel equalization, is convenient to implement, and can greatly improve the experiment efficiency of an external field.

This invention provides a multi-point network system comprising N network devices, capable of improving transmission speed through equalizer coefficient training. The N network devices include a master control device and multiple slave devices. The N network devices perform time zone synchronization in a synchronization phase, followed by equalizer coefficient training in a training phase, and then sequentially obtain transmission opportunities in a data transmission phase. Each of the N network devices includes a channel equalizer, which is used to be trained in the training phase and process data in the data transmission phase. In the training phase, the master control device issues a training notification to inform the multiple slave devices to enter the training phase; after issuing the training notification, the master control device performs equalizer coefficient training; after receiving the training notification, the multiple slave devices perform equalizer coefficient training. After the equalizer coefficient training is completed, the master control device issues a beacon to begin the data transmission phase.

The invention relates to the technical field of batteries, and provides a battery pack SOC cooperative control method and system based on multi-channel parallel equalization and rolling optimization, and the method comprises the steps: collecting the SOC of each single body in each control period, calculating an average value, screening out high and low SOC candidate single bodies, carrying out the discharge-charge pairing according to the number of channels, and carrying out the control of the SOC of each single body. Establishing a mapping relation between the monomer and the bidirectional DC-DC channel; an SOC state equation in a future prediction time domain is constructed on the basis, and an objective function is constructed by taking the equalization current of each channel as a decision variable: a deviation quadratic sum cumulant of each single SOC relative to the average SOC in the prediction time domain and a weighted sum of equalization energy consumption of each channel are minimized, and a current amplitude constraint is applied at the same time; and solving the optimization problem to obtain the optimal equalizing current, driving the corresponding monomer to execute charging and discharging operation, and then rolling to enter the next period. According to the method, overbalance and oscillation are effectively suppressed, high-precision, low-loss and self-adaptive global collaborative equalization is realized, the SOC dispersion is remarkably reduced, and the service life of the battery is prolonged.

A receiver circuit including mechanisms for analog channel equalization and channel adaptation is disclosed. The receiver includes a front-end circuit configured to generate a filtered signal by performing filtering of an incoming signal that includes a stream of data symbols. A sample recovery circuit configured to sample an equalized signal, based on the filtered signal, to generate a plurality of recovered data symbols. A decision feedback equalization (DFE) circuit configured to generate the feedback signal based on the plurality of recovered data symbols. A logic circuit is configured to cause adjustment to one or more filters in the front-end circuit based on the plurality of recovered data symbols.

The application provides a method for load balancing and acceleration of multiple crossbar channels of a non-loss switch, comprising: a crossbar node traffic distribution module distributing data for nodes based on a source port mode, each packet recombination module recombining data according to a predetermined byte interval; an asynchronous clock arbitration module performing asynchronous arbitration on recombined data frames; a multi-channel balanced distribution module distributing recombined data frames to each crossbar channel in a pipeline mode, and receiving recombined data frames of other FPGAs; a multi-channel traffic aggregation module aggregating data frames in a pipeline mode; and each packet recombination module recombining and distributing the aggregated data frames to corresponding switching nodes. The application can effectively improve the data transmission efficiency and performance of the crossbar channel, ensure efficient and balanced data flow between different FPGAs, and thus improve the stability and reliability of the entire communication network.

The present disclosure relates to a signal processing method, device and chip, and relates to the field of information processing. The processing method comprises: in a filter set, selecting a first number of filters capable of meeting a required channel equalization performance as a first number of equalization filters, and selecting a second number of filters capable of meeting a required anti-interference performance from the remaining filters in the filter set as a second number of anti-interference filters; and processing a multi-channel to-be-processed signal by using the equalization filters and the anti-interference filters. The technical solution of the present disclosure can reduce hardware overhead, thereby reducing cost and power consumption.

The application relates to the field of underwater wireless optical communication and discloses an underwater wireless optical communication system based on index modulation technology and a multi-band CAP technology, which comprises an optical transmitting module, an optical receiving module, a transmitting end signal processing module and a receiving end signal processing module. The transmitting end signal processing module carries out sub-band multi-mode ordering mapping and multi-band CAP modulation on original data, the receiving end signal processing module carries out multi-band CAP demodulation, multi-channel DFE equalization and signal-to-noise ratio weight-assisted multi-mode demapping on digital signals, and the original data is recovered. Compared with a traditional method, the mapping relationship between data and the ordering mode of a multi-constellation pattern is established, more index bit information can be transmitted, the error code rate can be reduced through the multi-channel DFE equalization and the weight-assisted demapping scheme, and the system performance is improved.

The invention provides a channel equalization method based on a frequency sampling method, and the method comprises the steps: solving a frequency domain quotient through the frequency response of a to-be-equalized channel and a reference channel, obtaining the frequency of an ideal equalization filter through a band-pass filter and a frequency domain entropy, carrying out the IFFT of the ideal equalization filter, and carrying out the iteration for a plurality of times according to the performance of the channel. According to the method, an ideal equalization filter coefficient can be obtained, and based on the obtained ideal equalization filter coefficient, an actual equalization filter is constructed through an FIR filter model to complete equalization of a to-be-equalized channel. According to the method, inverse operation of a matrix of a conventional frequency domain least square method is avoided, the complexity of the algorithm is reduced, and the method can be realized in real time in engineering. Meanwhile, by means of a band-pass filter and an iteration mode, the equalization precision is further improved.

The invention relates to a visible light and infrared video pedestrian re-identification method based on modal feature decomposition, which effectively reduces modal difference through channel equalization and enhancement operation, and directly decomposes modal sharing and unique features by adopting'dimension division + cross correlation constraint '. Time sequence feature extraction is carried out on video features by adopting an intra-modal time sequence consistency constraint method, so that the model robustness is improved; and through the constraint of a plurality of loss functions, the network can learn identity features with higher discrimination capability. Practical application shows that the method can effectively obtain sharing and unique features of the infrared and visible light models, can query video pairs, infrared or visible light independent videos and infrared or visible light images, and has a good application effect.

The application is suitable for the field of radar signal processing, and provides a kind of adaptive ground moving target detection method, including channel equalization processing to multiple groups of echo data received by multiple channels, to obtain multiple groups of equalization data;Channel rearrangement and vectorization processing are carried out on the multiple groups of equalization data to obtain the original matrix;From the original matrix, the rearranged data with data uniformity less than a first preset value and amplitude probability density greater than or equal to a second preset value are selected to obtain multiple groups of screening data;Target detection is carried out according to the multiple groups of screening data to obtain a detection result reflecting whether there is a target;When the detection result reflects the existence of the target, the optimal weight vector is determined using the multiple groups of screening data;The optimal weight vector is used to determine the radial velocity estimate value of the target.The technical scheme based on the application can effectively improve the local non-uniform region coherence, greatly reduce the target false alarm rate, improve the solving efficiency, and effectively improve the target detection performance in the non-uniform strong clutter background.

A Token-level multi-modal model quantification method based on learnable weights comprises the steps that calibration samples meeting the modal consistency requirement are input into a Token-level sensitivity model, and a Token-level sensitivity score used for representing Token relative importance is generated; generating a Token error vector between the non-quantized floating point output and the pseudo-quantized output according to the non-quantized floating point output and the pseudo-quantized output obtained by inputting the calibration sample into the multi-modal model; according to the Token-level sensitivity score and the Token error vector, defining a learnable Token weight used for dynamically allocating Token precision resources in the quantization process; defining a channel equalization factor used for performing scaling processing on each output channel of the multi-modal model; constructing a weighted reconstruction loss function according to the channel equalization factor and the learnable Token weight; minimizing a weighted reconstruction loss function by adjusting a channel equalization factor and a learnable Token weight; and performing deployment and reasoning execution of the multi-modal model by using the channel equalization factor with the minimized weighted reconstruction loss function and the learnable Token weight.

The invention discloses a digital pre-distortion processing method for a large-scale phased array, which comprises the following steps of: adding a coupling channel at the output end of a power amplifier in each transmitting channel in each sub-array of the phased array, equally dividing radio-frequency signals output by all the coupling channels into a plurality of groups, and selecting one group of radio-frequency signals to perform down-conversion and analog-to-digital conversion, entering a channel calibration mode and a digital pre-distortion resolving mode in a time-sharing manner, and performing digital pre-distortion processing, beam forming / calibration and channel equalization on the signal according to a preset condition in combination with the calibration parameter and the pre-distortion parameter; in order to solve the problems of high system complexity and high hardware cost caused by configuring an independent digital pre-distortion processing loop for each channel in the traditional scheme, a packet gating control mechanism is introduced, and feedback signals of a large number of channels are routed by groups, so that a set of shared rear-end processing circuit can serve all channels in a time-sharing manner, and the time-sharing performance of the system is improved. Therefore, the number of hardware is greatly reduced, the system structure is simplified, and the overall cost and power consumption are reduced.

The application discloses a PCIe link training method, a training system and a communication system. The PCIe link training method comprises the following steps: collecting current state information (current environmental temperature and current interface voltage) of a target PCIe device; screening a target historical record matched with the current state information in a database, wherein the historical record comprises environmental temperature and interface voltage of the PCIe device, link configuration, channel mapping and channel equalization coefficient corresponding to each training of the PCIe device; if the target historical record is screened, loading the link configuration, channel mapping and channel equalization coefficient in the historical record; the target PCIe device generates a TS1 training sequence and sends the TS1 training sequence to a peer device; in response to the fact that parameters in the TS1 training sequence meet communication requirements determined by the peer device, receiving a TS2 reply sequence sent by the peer device, and the target PCIe device enters a communication state. The application can shorten the link training time and avoid repeated negotiation.

The application discloses a kind of full-automatic planar waveguide coupling equipment based on nanoscale sensing contact, including chip placement assembly, input component, output component;Input component and output component are respectively transmission connection with stepper motor;Stepper motor is electrically connected with driver;Coupling software controls driver to control stepper motor to drive input component and output component to carry out displacement in different directions respectively, realize that FA fiber core and chip waveguide carry out mode field matching, so as to realize optical waveguide preliminary alignment, coupling software automatically switches displacement step, again through input component, output component realizes accurate alignment;Coupling software controls driver to realize multi-channel equalization by controlling angle stepper motor step and movement;The application adopts high-precision stepper motor with high-precision sensing contact sensor, completely realizes that planar optical waveguide is fully automatic high progress coupling to light, improves the precision of planar waveguide coupling to light, and completely realizes high-precision automatic angle adjustment function.

The application particularly relates to a multi-frame medium signal-to-noise ratio channel equalization method based on measured data, which is based on a multi-frame pulse coherent accumulation principle, first performs MTD on single-frame CPI data to realize moving target and ground clutter separation, then extracts target echo for pulse compression processing, then takes multi-frame pulse compression data for envelope alignment and peak value normalization, and after normalization, inter-frame complex accumulation is carried out, on the premise of not needing additional hardware cost investment, the mainlobe-to-sidelobe ratio gain of target pulse compression result is significantly improved, meanwhile, accurate channel equalization is realized based on ideal pulse compression result, the dependence of a traditional channel equalization algorithm on high signal-to-noise ratio is avoided, and MTD moving target detection of each frame of data is considered. The measured result shows that the algorithm can effectively improve the echo signal-to-noise ratio through multi-frame target pulse compression result coherent accumulation under single-frame medium signal-to-noise ratio, then channel equalization is carried out, the algorithm is convenient to realize, and the experimental efficiency in an outfield can be greatly improved.

A physical layer transceiver for connecting a host device to a wired channel medium divided into a total number of link segments includes a host interface for coupling to the host device, a line interface for coupling to the wired channel medium, and a feed-forward equalization circuit (FFE) operably coupled to the line interface to add back time-scattered components into a signal. Each individual filter segment is selectably configurable to correspond to each individual link segment by adjusting a respective delay line. The FFE circuit also includes control circuitry configured to detect a signal energy peak of at least one specific link segment of the total number of link segments, and, upon detecting the signal energy peak of the specific link segment, configure each one of the respective individual filter segments to correspond to each specific link segment by adjusting a respective delay line.