5 results about "Burst frequency" patented technology

The invention discloses a burst frequency hopping communication system high-precision arrival time estimation method, device and medium, and relates to the field of burst communication system time synchronization, and the method comprises the following steps: a receiving end carries out multi-channel down-conversion and double symbol sampling on a frequency hopping signal, and carries out local sequence correlation processing; aligning related results according to the frequency hopping pattern and the delay difference, performing non-coherent accumulation, and recording frame header stamping time at a peak moment; performing linear fitting on a correlation peak result to calculate a timing error estimation value; querying and obtaining corresponding compensation time by using an offline established time compensation table to correct the timing error estimated value, and obtaining a timing error precise estimated value; and finally, compensating the precise estimation value to the frame header stamping time, and outputting high-precision arrival time. According to the invention, high-precision time synchronization is realized at a low sampling rate, and hardware overhead is effectively reduced.

The present application relates to the field of signal detection, and particularly to a non-cooperative unmanned aerial vehicle burst frequency point detection method and device based on a Seg-Yolo model. The Seg-Yolo model proposed by the present application does not require prior sequences of non-cooperative unmanned aerial vehicle signals at all, and does not require prediction of specific sequences, and can directly realize continuous, discontinuous, overlapping and non-overlapping signal frequency point detection in a time-frequency graph. Through preprocessing, image noise reduction and the Seg-Yolo model, the present application reduces the image volume that needs to be processed and simplifies the size of the deep learning network, can accurately lock the center frequency of each frequency point on the basis of reducing the training time and improving the training efficiency, and improves the accuracy and reliability of signal extraction based on complex frequency hopping signals.

The invention discloses a fault processing method and device for a distributed micro-service system, equipment and a medium, relates to the technical field of communication, and aims to solve the problems of low real-time performance and poor precision of fault processing. Transient fault data is injected into the target micro-service group through a chaos injection unit, real-time abnormal data acquisition is performed through a non-intrusive probe, and a transient snapshot is generated; according to the transient snapshots, single-service micro-explosion segments are obtained, the single-service micro-explosion segments are aggregated based on the cross-service overlapping degree, a transient family is generated, index slopes, resource contention traces, log emergence frequencies and topological slices in the transient family are coded into multi-view time sequence vectors, the multi-view time sequence vectors are written into an index database, and the multi-view time sequence vectors are sent to a meta reinforcement learning training queue; in an isolation environment, according to the meta reinforcement learning training queue, performing meta reinforcement learning model training on the high-frequency abrupt change fault scene, and determining a meta strategy according to an instant reward function; and adjusting a chaos injection unit according to the meta-strategy, and carrying out fault processing operation on the distributed micro-service system.

The application discloses a high-precision time of arrival estimation method, equipment and medium for a burst frequency hopping communication system, relates to the field of time synchronization of a burst communication system, and comprises the following steps: a receiving end performs multi-channel down-conversion and 2 times symbol sampling on a frequency hopping signal, and performs correlation processing on a local sequence; non-coherent accumulation is performed on the correlation results after the correlation results are aligned according to a frequency hopping pattern and a delay difference, and a frame header stamping time of a peak time is recorded; a timing error estimation value is calculated by performing linear fitting on the correlation peak results; a corresponding compensation time is obtained by querying a time compensation table established offline, so as to correct the timing error estimation value, and a precise timing error estimation value is obtained; and finally, the precise estimation value is compensated to the frame header stamping time, and a high-precision time of arrival is output. The application realizes high-precision time synchronization under a low sampling rate, and effectively reduces hardware cost.

The present application relates to a solar radio data processing method, system, storage medium and equipment, wherein the solar radio data processing method comprises the following steps: obtaining the spectrum data of solar radio signal and preprocessing, and performing point-by-point difference between the preprocessed data and the preset solar radio spectrum data model in the quiet state to realize solar burst event identification; dividing into burst data and non-burst data based on the solar burst event identification result and performing binary processing, abnormal point elimination and edge detection, extracting solar burst characteristics based on the data after edge detection; calculating the burst duration and burst frequency drift rate according to the extracted solar burst characteristics, and classifying the burst type according to the burst duration and burst frequency drift rate; using the original data in the burst area, and setting the brightness in the non-burst area, and outputting the processed solar burst spectrum.