44results about How to "Simplify handling complexity" patented technology

The invention discloses a satellite-ground synchronization method for an on-satellite processing beam-hopping satellite communication system, and belongs to the technical field of satellite communication. By periodically inserting the beam hopping plan corresponding to the beam position into the downlink frame, the ground terminal can be effectively assisted to realize the fast access of the uplink in the beam hopping environment. In addition, in combination with the working principle of the phased-array antenna, the satellite-borne time transmission method oriented to phased-array antenna beam hopping application is provided, and the time reference consistency among multiple phased-array antennas and between each wave position receiving beam and each wave position transmitting beam is effectively ensured. The synchronous control time sequence of the phased-array antenna is provided, the beam switching serial data and the wave speed switching control pulse signal are separately transmitted, the beam switching serial data are sent in advance before the beam switch control pulse is sent, the protection time in the beam switching process is shortened, and the transmission efficiency of the beam hopping application is effectively improved.

The invention discloses a repeater station, comprising a receiving side radio frequency processing unit, a first digital down conversion (DDC) unit, a base band processing unit, a digital up conversion (DUC) unit, a transmitting side radio frequency processing unit and a power amplification processing unit. The repeater station serves as reference signals ref which are directly produced by the base band processing unit itself for the closed-loop control to echo elimination, namely, base band digital signals serve as the reference signals ref for participating in the processing of echo elimination, thereby simplifying the processing complexity of echo elimination: on the one hand, the system complexity is greatly reduced because a hardware circuit need not be added for processing the reference signals, and on the other hand, the echo elimination effect can be guaranteed. Moreover, the base band processing unit has rather small delay.

The invention discloses a method and a device for automatically retransmitting in LTE (Long Term Evolution). The method comprises the following steps that: a base station reduces a regular time lead of a terminal according to a distance between the terminal and the base station and obtains the actual time lead of the terminal and informs the terminals; the base station performs resource distribution on each terminal so that resources used by each terminal are not conflicted, and informs the terminals about corresponding distributed resources; and the base station receives reply which is performed by the terminal according to the actual time lead and allocated resources after downlink data is received and sends the downlink data based on a pre-set single-time retransmitting time length according to the replay. By using the method and the device, the problem that the data can be automatically retransmitted under a large covering condition can be solved.

The invention discloses a method and system for cross-label processing of html rich text data with a format. The received html rich text data with the format are converted into a plain text without the format; service processing is conducted, so that the illegal and illicit unsafe factors such as attack codes, nonstandard writing and sensitive words in the text are eliminated; the processed plain text is restored to the prior format according to the method of best similarity matching effect and converted into correct and safe html rich text data with the format, the html rich text data are displayed on a website, and the safety of the website and the quality of the content are improved.

The invention discloses a satellite selection optimized advanced receiver autonomous integrity monitoring method, and belongs to the technical field of satellite navigation. Advanced receiver autonomous integrity monitoring is a receiver end fault diagnosis and integrity monitoring technology based on a multi-constellation satellite navigation system, ARAIM provides a more strict integrity level by receiving the observed quantity of a multi-constellation satellite, however, due to participation of too many satellites, a fault mode needing to be monitored is increased, and the protection levelis expanded; in addition, the satellite with the large prior fault probability can increase the fault probability. And the ARAIM availability is easily reduced under the condition. According to the ARAIM method based on satellite selection optimization provided by the invention, the space satellite constellation is optimized according to the geometric accuracy factor of the constellation, the fault prior probability of the satellite and the like, the ARAIM availability is improved, and the calculation complexity is simplified. The method is suitable for autonomous integrity monitoring application of the satellite navigation receiver, and the same idea is suitable for other signal systems adopting multi-hypothesis solution separation.

The invention provides a wireless chain network based routing implementation method, which is characterized in that when a node receives a route update message, a routing module combines a self node routing information table, a per-to-peer node routing information table, a self link information table and a peer-to-peer link information table into network bitmap information and sends the route update message to an air interface adjacent node; when the node has peer-to-peer nodes, the routing update message acts as a route sharing message and is sent to all peer-to-peer nodes in the same group; when the node has no peer-to-peer node, the route update message is only sent to the air interface adjacent node; and the node updates the self node routing information table according to a received route update message of the air interface adjacent node, updates the peer-to-peer node routing information table according to a received route update message of the peer-to-peer nodes and updates the self link information table according to a received adjacent node air interface measurement result. According to the invention, the occupation overhead of routing for the air interface can be reduced.

The invention discloses an SISO balancing method based on sampling rate data. The SISO balancing method comprises the following steps that (1) intermediate frequency simulation data are sampled, low-pass filtering and matched filtering are conducted on the sampled data, and the sampling rate data to be processed in a balancing mode are obtained and input into a balancer; (2) the balancer conducts balancer filtering tap coefficient calculation according to the sampling rate data; (3) linear transverse filtering is conducted according to the balancer filtering tap coefficients, an inverse channel of a multi-path fading channel is built, and channel balancing is achieved; (4) the balancer outputs a balancing result to a carrier synchronization loop to complete carrier tracking. According to the SISO balancing method based on the sampling rate data, the balancer is independent from a receiver digital baseband processing so as to be closer to be digital receiving processing front end, balance processing is not influenced by synchronization performance, and the contradiction that channel balancing, timing synchronization and carrier recovering are mutually restricted is solved.

The invention provides an indoor locating data processing method and apparatus of an unmanned aerial vehicle. The method comprises the following steps: S01, calculating locating information of the unmanned aerial vehicle; S02, calculating actual deviation values between historical locating information and corresponding historical prediction position information of components of the unmanned aerial vehicle on X, Y and Z axes of a space coordinate according to continuous n times of (n is greater than or equal to 4) historical locating information and corresponding historical prediction position information of the unmanned aerial vehicle within a preset time, and historical prediction deviation values of the historical prediction position information; S03, obtaining predicted fuzzy values of the components of the unmanned aerial vehicle on the X, Y and Z axes of the space coordinate at a current moment; S04, calculating a noise deviation; S05, calculating a weighting coefficient of a real locating value at the current moment according to the predicted fuzzy values and the noise deviation; and S06, calculating the real locating value of the unmanned aerial vehicle at the current moment according to the weighting coefficient, the prediction position information at the current moment and the measurement position information of the unmanned aerial vehicle at the current moment.

The embodiment of the invention provides a process processing method and a device, a storage medium and a processor, and belongs to the technical field of computers. The process processing method comprises the following steps: registering a plurality of execution components forming the process as execution component nodes in a visualization tool, wherein each execution component node correspondingly represents one execution component; in the visualization tool, generating a directed acyclic graph (DAG) describing an execution relationship between execution component nodes, and the execution relationship comprises an execution sequence and an execution condition; converting the DAG into a plurality of executable chains, wherein each executable chain correspondingly represents a path of theDAG from a start node to an end node; and executing the executable chain. According to the process processing method of the embodiment of the invention, the execution relationship of each registered component of the process is described in the form of the DAG, and then the DAG is converted into the executable chain, so that the processing complexity is simplified, and the execution efficiency is improved.

The present invention relates to an optimized noise forming peak clipping method and device. The method comprises the steps of: receiving and caching intermediate frequency signals sent by an up converter and obtaining the phase and the amplitude of the intermediate frequency signals; determining the amplitude of the intermediate frequency signals is larger than each-level detection threshold or not; if the amplitude of the intermediate frequency signals is larger than any one of the multi-level detection thresholds, calculating the total peak clipping vector of this level; and performing peakclipping of the intermediate frequency signals according to the total peak clipping vector of this level to obtain signals with good qualities and sending the signals to a DA converter. The optimizednoise forming peak clipping method and device perform step-by-step peak clipping of the peaks which exceed the detection thresholds through the multi-level detection thresholds with no need for peaksearch, and can only directly perform peak clipping of the peaks which exceed the detection thresholds through detection so as to simplify system processing complexity and stabilize the system.

The invention discloses an electric power information system polymorphic data storage system and storage method. The method comprises the steps of: taking a polymorphic data file as a large binary file, carrying out the slicing, storing the sliced data to a cloud server, generating data slicing information description, generating a file abstract based on the slicing information, and storing the file abstract in a block chain. Therefore, under-chain storage of the data ontology and on-chain storage of data element information are realized, the polymorphic data processing complexity of an electric power information system is simplified, and the high efficiency, the real-time performance and the safety of data storage and transmission are improved.

A data sending method and device. When the data sending method is applied, the first data is spread to obtain the first data after spreading. Combining the spread-spectrum first data with the second data to obtain combined data, and sending the combined data on time-frequency resources so that the first data and the second data use the same time Frequency resources can be sent at the same time at the same frequency, which can increase the capacity of business data. The method provided in this embodiment can be applied to various communication systems, such as V2X, LTE‑V, V2V, Internet of Vehicles, MTC, IoT, LTE‑M, M2M, Internet of Things, etc.