8 results about "Digital transmission systems" patented technology

The invention discloses a self-adaptive CTLE gain adjustment method and system in a high-speed digital transmission system, relates to the technical field of equalizers of high-speed digital signal transmission systems, and realizes self-adaptive adjustment of CTLE by dividing a state interval of a first tap coefficient of a DFE and analyzing a transfer trend of the state interval. The method specifically comprises the following steps: dividing a first tap coefficient of the DFE into four states according to three set boundary reference lines; sampling a first tap coefficient of the DFE in a signal processing period and recording a current state of the first tap coefficient; and judging the validity of the state transition by checking the consistency of the previous two states, if the state transition is valid, determining a gain adjustment strategy according to the state transition condition, and adjusting the CTLE gain according to the gain adjustment strategy, otherwise, maintaining the current gain. According to the invention, through interval dynamic feedback of the first tap coefficient of the DFE, stable convergence of the CTLE gain is realized, and intersymbol interference and noise influence are effectively suppressed.

The invention discloses a method and a system for generating a verifiable random result. The method and the system are applied to a scene needing a random result. Comprising the following steps: taking any party participating in generation of a random result as a host party, taking other parties as following parties, selecting a random numerical value by the host party, storing the random numerical value in private storage equipment, encrypting the numerical value by adopting a known HASH encryption algorithm of all participants, and issuing a formed encrypted word string; after receiving the encrypted word string of the host party, the following party selects a random numerical value of the following party for the published encrypted word string, and publishes the random numerical value through a digital transmission system; after receiving the random numerical value published by the following party, the host party reads the random numerical value stored in the private equipment and publishes the random numerical value; and the intelligent device of the host side takes the random numerical value of the host side and the random numerical value of the following side as variables, and calculates a result according to a rule agreed by the host side and the following side in advance.

This invention discloses an adaptive CTLE gain adjustment method and system in a high-speed digital transmission system, relating to the field of equalizer technology for high-speed digital signal transmission systems. This invention achieves adaptive CTLE adjustment by dividing the state interval of the first tap coefficient of the digital signal equalizer (DFE) and analyzing its transition trend. Specifically, it includes: dividing the first tap coefficient of the DFE into four states according to three set boundary reference lines; sampling the first tap coefficient of the DFE during the signal processing cycle and recording its current state; determining the validity of the state transition by verifying the consistency of the first two states; if valid, determining the gain adjustment strategy based on the state transition, and adjusting the CTLE gain according to the gain adjustment strategy; otherwise, maintaining the current gain. This invention achieves stable convergence of the CTLE gain through interval dynamic feedback of the first tap coefficient of the DFE, effectively suppressing inter-symbol interference and noise effects.

The invention discloses a coding metasurface dual-channel asymmetric digital transmission system based on weighted theorem optimization, and relates to the technical field of communication and artificial electromagnetic materials. The system adopts a two-dimensional programmable coding metasurface, the unit structure of the system is formed by loading two PIN diodes in a metal pattern, and the system has 2-bit four-phase regulation and control capability. The metasurface array adopts a column control mode, and dynamic control over the reflected wave beam phase is achieved at the 6.1 Ghz frequency. In order to improve the directivity of the space beam, the Chebyshev weighting theorem is adopted to adjust the amplitude distribution of the array unit, and the sidelobe gain is effectively suppressed. And a coding matrix is designed in combination with an addition theorem, so that reflection beams in two directions are formed independently at the same time. According to the method, the main and side lobe gain difference (in a dual-beam communication experiment, the main and side lobe gain difference is 2.34 dB under an unweighted condition and is increased to 5.52 dB after weighting) is remarkably improved, and the space channel isolation capacity is enhanced. And synchronous transmission and receiving of image information in asymmetric directions are realized in an experiment, so that a dual-channel digital transmission system is constructed. The invention has the advantages of simple structure, strong directivity, high anti-interference capability, clear coding design physical mechanism and the like, and is suitable for the fields of high-density spatial multiplexing communication, millimeter wave radar imaging, low-power-consumption passive information modulation and the like.

The application discloses a kind of digital transmission fault diagnosis methods based on artificial intelligence, including the following steps: the multidimensional data of transmission system is collected and preprocessed, and original data set is formed;Data is handled using hierarchical decision tree, key features are extracted, and feature data set is generated;Fault mode classification identification is carried out on feature data set using hierarchical decision tree, and fault mode data set is generated;Improved quantum annealing algorithm is used to optimize repair path, and repair path data set is generated;Time series prediction is carried out on repair path data by pulse coupled neural network, and fault prediction data set is generated;Improved fuzzy reinforcement learning is used to optimize repair strategy, real-time optimization fault mode data set and repair path data set, dynamically adjust repair path and carry out system configuration adjustment.The method can intelligently diagnose and repair fault, improve fault identification and repair efficiency, and is widely applied to complex digital transmission system.

This application relates to the field of road de-icing technology, and more particularly to a road surface de-icing system. The road surface de-icing system includes a temperature-measuring optical fiber, a DTS (Digital Transmission System) host, a control terminal, and multiple de-icing devices. The temperature-measuring optical fiber is laid on both sides of the road surface base layer; multiple de-icing devices are installed on both sides of the road surface; the temperature-measuring optical fiber is divided into multiple temperature-measuring segments, each corresponding to one of the de-icing devices; the DTS host can acquire the temperature values ​​detected by the multiple temperature-measuring segments in real time. When the temperature value of one or more temperature-measuring segments acquired by the DTS host reaches the freezing temperature threshold, the control terminal controls the de-icing device corresponding to the temperature-measuring segment that has reached the freezing temperature threshold to activate, thereby spraying hot water onto the road surface through spray heads. The road surface de-icing system of this application solves the problems of significant misjudgment in existing road surface icing monitoring systems, the excessive cost of spraying organic de-icing agents, and the corrosive damage to roads caused by spraying inorganic de-icing agents.

Disclosed in the present invention are a method and system for generating verifiable random results. The method and system are applied to scenarios where random results are required. The method comprises: any party that participates in generating a random result serving as a leader, and the other parties serving as followers; the leader selecting a random value, storing the random value in a private storage device, using a HASH encryption algorithm known to all participants to encrypt the value, and publishing a formed encrypted string; after receiving the encrypted string from the leader, the followers selecting their own random values for the published encrypted string, and publishing the random values by means of a digital transmission system; after receiving the random values published by the followers, the leader reading the random value stored in the private device and publishing the random value; and a smart device of the leader using the random value of the leader and the random values of the followers as variables, and calculating a result according to a rule agreed upon in advance by the leader and the followers.

The invention discloses a digital transmission fault diagnosis method based on artificial intelligence, and the method comprises the following steps: collecting and preprocessing multi-dimensional data of a transmission system, and forming an original data set; performing fusion processing on the data by using a hierarchical decision tree, extracting key features, and generating a feature data set; performing fault mode classification identification on the feature data set by applying a hierarchical decision tree to generate a fault mode data set; using an improved quantum annealing algorithm to optimize the repair path, and generating a repair path data set; performing time sequence prediction on the repair path data through a pulse coupling neural network to generate a fault prediction data set; optimizing a repair strategy through improved fuzzy reinforcement learning; and optimizing the fault mode data set and the repair path data set in real time, dynamically adjusting the repair path and performing system configuration adjustment. The method can intelligently diagnose and repair faults, improves the fault identification and repair efficiency, and is widely applied to complex digital transmission systems.