12 results about "Channel equalizer" patented technology

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 optical communication, in particular to a channel equalizer and an optical communication system. The signal equalizer comprises a first dispersion compensation module which is arranged on the chip main body, and the first dispersion compensation module is used for receiving an externally input optical signal and carrying out dispersion compensation on the central wavelength of the optical signal to form an initial processing optical signal; and the second dispersion compensation module is arranged on the chip main body, and the second dispersion compensation module is used for carrying out wave division processing on the primary processing optical signal of the first dispersion compensation module and carrying out dispersion compensation on the non-central wavelength of the signal after wave division. According to the invention, the channel equalization function is integrated on the optical chip, linear calculation processing is carried out on the input signal before the optical signal is transmitted into the photoelectric detector, and equalization of the high-speed optical communication signal can be realized in the optical domain. Meanwhile, two dispersion compensation modules are integrated on the chip, dispersion compensation is carried out for the central wavelength and the non-central wavelength, and the suitability of the equalizer in different application scenes is improved.

The invention relates to the technical field of wireless communication, in particular to an intelligent anti-interference method for multi-physics coupling and polarization diversity, which integrates a material shielding effect, a dust scattering characteristic and a dynamic polarization optimization mechanism so as to improve the reliability and the stability of wireless communication in a deep well environment. The method comprises the following steps: firstly, establishing a path loss correction model based on an eddy current shielding effect of a metal support material and a Mie scattering theory of dust concentration; secondly, providing an intelligent anti-interference layered framework, combining a direct sequence spread spectrum (DSSS) technology and a wavelet adaptive filtering method, and introducing a game theory to optimize multi-source node power distribution; and further designing a polarization-time delay joint compensation strategy, and suppressing multipath fading and inter-symbol interference in a non-line-of-sight scene by adopting a circularly polarized antenna and a channel equalizer based on a convolutional neural network and a long-short term memory network. Compared with a traditional method, the method has the advantages that the bit error rate can be reduced by 42% in a high-dust-concentration (200 g / m) environment, and the signal to interference plus noise ratio can be increased by 15 dB in a strong electromagnetic interference area.

An intelligent charging management system for electric vehicles includes: a distribution network master station system; a transformer substation, which is equipped with an intelligent communication management agent module and a first dual-mode communication module; and an intelligent charging pile, which includes a main controller, a second dual-mode communication module, a power quality monitoring circuit, and a power electronic switch. The dual-mode communication module is a PLC and wireless communication dual-mode communication module, which is equipped with a PINSF (Power Line Impulse Noise Filter). The communication process between the dual-mode communication modules includes a pilot training phase and a data transmission phase. In the pilot training phase, the PINSF acts as a channel estimator for channel estimation. In the data transmission phase, the PINSF acts as a channel equalizer for channel equalization. This invention is specifically optimized for low-voltage power line impulse noise environments. By using the PINSF, it suppresses the interference of impulse noise on channel estimation and equalization, ensuring the demodulation performance and communication reliability of the communication system.

The invention provides a channel equalization method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an input signal after an original signal passes through a communication channel and is subjected to noise addition; executing the following cycle process until a preset condition is met, and outputting the equalized signal; the loop process comprises the following steps: performing parameter iteration on the channel equalizer through a dynamic weighted RLS-LMS hybrid algorithm based on a last error to obtain a current parameter, performing channel equalization on the input signal based on the current parameter to obtain a current output signal, and comparing the current output signal with an expected signal to obtain a current error. According to the channel equalization method and device, the electronic equipment and the storage medium provided by the invention, through a hybrid adaptive algorithm structure, the calculation complexity is remarkably reduced while the convergence speed is ensured, the problem of insufficient adaptability of a traditional equalizer in a complex time-varying channel environment is effectively improved, and the user experience is improved. And an effective technical solution is provided for application scenes such as high-speed mobile communication.

This invention discloses a channel equalization method for an SC-IFDMA system, comprising the following steps: transforming the received data of the SC-IFDMA system to the frequency domain; obtaining pilot symbols and data symbols according to the system frame structure; estimating the current signal-to-noise ratio (SNR) and current channel characteristics based on the pilot symbols to obtain estimated SNR and channel estimation parameters; calculating channel equalizer coefficients based on the estimated SNR and channel estimation parameters; passing the data symbols through the channel equalizer, setting the number of iterations, and iteratively equalizing the data symbols using the channel equalizer coefficients; transforming the equalized data symbols to the time domain and making a decision; determining whether the current number of iterations is the set number; if the set number is reached, outputting the current data symbol as the final iterative equalization result. The method disclosed in this invention improves equalization performance while keeping most of the processing in the frequency domain, reducing the complexity of signal processing.

The present invention provides a TDOA positioning method. K receiving base stations are employed to position an unmanned aerial vehicle. The method comprises: each receiving base station receiving a signal within its measurement range and, if a pilot signal is received, generates first target data; obtaining pilot information of the pilot signal on the basis of the first target data; obtaining an estimated channel time-domain response on the basis of the pilot information; on the basis of the estimated channel time-domain response, obtaining a tap coefficient of a relative channel equalizer of the corresponding receiving base station; performing equalization processing on the received signal on the basis of the tap coefficient to obtain an equalized signal; performing generalized cross-correlation computation on all equalized signals to obtain TDOA information between all the receiving base stations; and determining the location of the unmanned aerial vehicle on the basis of the TDOA information between all the receiving base stations. In the present invention, the influence of multipath effects is reduced by means of equalization processing, without the need to separate a main signal path and a reflected path, so that the solution of the present invention achieves lower signal processing complexity and also has smaller computational overhead.

The application discloses a sparse degree tracking dynamic compressive sensing adaptive channel equalization method. Aiming at a fast time-varying long multi-path wireless communication channel, the method mainly solves the problem of insufficient tap support set tracking performance of an existing dynamic compressive sensing adaptive channel equalizer. The implementation process is divided into two stages: 1) a training stage, based on a received signal and a pilot sequence, an adaptive filtering algorithm is combined with a data multiplexing technology to train a full-tap equalizer, so that tap coefficients reach a convergence state; 2) a symbol detection stage, a sparse degree tracking dynamic compressive sensing algorithm is used to track the equalizer tap support set and coefficient values simultaneously and estimate data symbols. The application applies the sparse degree tracking dynamic compressive sensing method to adaptive equalization, realizes dynamic tracking of the equalizer tap support set and coefficient values to better adapt to environmental changes, and has high practical application value.

A method according to an embodiment of the present specification comprises the steps of: receiving, from a second wireless apparatus, a first message including information related to a first task; transmitting, to the second wireless apparatus, a second message related to semantic representation; and receiving, from the second wireless apparatus, a response related to the second message. On the basis of whether a semantic error related to the semantic representation has occurred, the response indicates an ACK or NACK. The second message includes semantic language information. Whether the semantic error has occurred is determined on the basis of results of tasks performed on the basis of the semantic language information.

The present application relates to a channel equalizer construction method and apparatus, a computer device, a computer readable storage medium and a computer program product. The method comprises: acquiring a symbol sequence sample; using a sliding window to perform sliding window processing on a plurality of symbols according to a symbol receiving sequence, and for a plurality of current target symbols in the sliding window, inputting the plurality of target symbols into a feed-forward equalizer to obtain a feed-forward output; for each feed-forward output after an Lth feed-forward output, acquiring L feed-forward outputs before a current feed-forward output, and inputting the L feed-forward outputs into a feedback equalizer to obtain a feedback output; determining a prediction symbol on the basis of the current feed-forward output and the feedback output; and determining a prediction error on the basis of the prediction symbol and an expected response, and adjusting parameters in the feed-forward equalizer and the feedback equalizer on the basis of the prediction error until the prediction error obtained by calculation is smaller than a preset value.

This invention provides a TDOA positioning method that utilizes K receiving base stations to locate a UAV. Each receiving base station receives signals within its measurement range. If a pilot signal is received, first target data is generated. Based on the first target data, pilot information of the pilot signal is obtained. Based on the pilot information, the estimated channel time-domain response is obtained. Based on the estimated channel time-domain response, the tap coefficients of the relative channel equalizer of the corresponding receiving base station are obtained. Based on the tap coefficients, the received signals are equalized to obtain equalized signals. Generalized cross-correlation calculation is performed on all equalized signals to obtain TDOA information among all receiving base stations. Based on the TDOA information among all receiving base stations, the UAV's position is determined. This invention reduces the impact of multipath effects through equalization processing, eliminating the need to separate the main signal path and reflection path. This results in a solution with lower signal processing complexity and lower computational overhead.