465 results about "Frame synchronization" patented technology

The invention relates to the technical field of power line communication, and discloses a frame synchronization method and device for broadband power line communication, and the method comprises the steps: carrying out the symbolization cross-correlation operation of a received signal, and obtaining a cross-correlation result sequence; performing secondary autocorrelation analysis and accumulation processing on the cross-correlation values in the sequence to generate an autocorrelation accumulated value sequence; screening candidate peak positions according to absolute values of the self-correlation accumulated values; defining a synchronous peak analysis window around the candidate peak position, and setting a noise reference window in an area far away from the window; verifying the validity of the candidate peak based on the difference between the autocorrelation accumulated values of the synchronization peak window and the noise reference window; and if the verification is valid, calculating and determining a final synchronization position through a mean value of a plurality of peak value positions in the synchronization peak window. According to the method, the problem of inaccurate synchronization peak positioning under the multipath effect and noise interference in the existing method is solved through the self-correlation accumulation and noise separation mechanism, and the reliability of frame synchronization is improved.

According to the grid-connected line electric energy quality on-line detection device, the system comprises a broadband sensing module which is deployed on a grid-connected line to form an original analog signal; the conditioning module forms a standardized digital sampling signal; the edge calculation module receives the standardized digital sampling signal, analyzes a voltage effective value, a harmonic distortion rate, a sag depth and an event duration index in real time through a parallel calculation architecture, and forms an electric energy quality characteristic data set; the intelligent analysis module receives the electric energy quality characteristic data set to form an abnormal event report; and the communication interaction module receives the abnormal event report, encapsulates the abnormal event report into a standardized data frame through a configurable protocol stack, synchronously pushes the standardized data frame to the local monitoring terminal and the cloud management platform, receives an external control instruction and feeds back the external control instruction to the intelligent analysis module to optimize an analysis strategy. The grid-connected line electric energy quality on-line detection device can solve the problem that complex disturbance cannot be recognized in real time and cannot be accurately traced to the source.

The invention provides an AI-based nuclear power station high-risk operation compliance real-time monitoring method and system, and the method comprises the steps: processing human body joint point coordinate data of an operator through employing an AI dynamic contour modeling algorithm, and generating a limb movement track sequence; scanning the preset operation area to generate a relative motion vector between the special operation tool for the nuclear power station and the operator; detecting an action deviation mode of the operator based on the limb movement track sequence, and generating a detection result; fusing the relative motion vector and multi-channel video stream frame synchronization data obtained by applying an AI video analysis algorithm to generate a space intrusion relation between the nuclear power station special operation tool and the nuclear power station high-risk equipment; and when the action deviation mode exists in the detection result and the space intrusion relation exceeds a preset safety threshold, generating an operation compliance signal. According to the invention, real-time dynamic evaluation of human motion compliance and tool equipment safety distance in the high-risk operation process of the nuclear power station is realized, and the safety monitoring precision and real-time early warning capability of high-risk operation are improved.

The invention relates to the technical field of intelligent monitoring, in particular to a multi-thread low-power-consumption intelligent monitoring system based on an AI processor. The method has the advantages that aiming at the problems of unbalanced computing power and power consumption, high multi-task processing delay and strong hardware dependence in the prior art, the NPU module of the RK3588 processor is combined with the INT8 quantitative model, so that the power consumption is lower than 10W under the 6TOPS computing power; a dynamic multi-thread scheduling mechanism is designed, parallel processing of more than eight paths of video streams is supported through binding of a priority queue and an NPU core, and end-to-end delay is compressed to be within 200 ms; a zero-copy video stream architecture is constructed, data transfer is eliminated through memory mapping, and preprocessing time consumption is reduced by 90%; an energy efficiency control module is integrated, the NPU voltage frequency is dynamically adjusted according to the load, and the energy efficiency ratio reaches 0.83 TOPS / W; space-time alignment of multi-model reasoning results is realized by adopting a frame ID synchronization technology, and the mismatching rate is lower than 0.1%.

The invention discloses a multi-camera synchronization method, device and equipment and a computer readable storage medium. The method comprises the following steps: a frame synchronization signal generation unit generates a frame synchronization signal and sends the frame synchronization signal to a timestamp generation unit and N cameras, wherein N is a positive integer greater than or equal to 2; when the timestamp generation unit receives the frame synchronization signal, the timestamp at the current moment is put into an FIFO queue corresponding to each camera; when each camera receives the frame synchronization signal, executing a shooting action; and the forwarding unit reads the timestamps from the FIFO queues corresponding to the cameras when receiving image data obtained by each camera based on the shooting action, and sends the image data and the read timestamps to an image processing end. According to the method and the device, the plurality of cameras can synchronously execute the shooting action, and the image processing end at the rear end can accurately determine the synchronously exposed image data.

The invention discloses a target detection method, system and device based on video frame synchronous reading, and relates to the technical field of data extraction for target detection. The method is applied to a monitoring system, and comprises the following steps: determining a synchronous timestamp-containing video sequence according to a plurality of low-latency cache queues; timestamp difference values corresponding to any two timestamp-containing video frames in the synchronous timestamp-containing video sequence are smaller than a timestamp difference value threshold value; and inputting the synchronous timestamp-containing video sequence into the target detection model to obtain a target detection result corresponding to the center timestamp. According to the invention, the camera equipment is configured with one NTP client, one reading thread and one FFmpeg coding thread to obtain the synchronous video sequence containing the timestamp, and the target detection model is trained, so that the monitoring abnormity identification precision can be improved.

The invention provides a multi-antenna MIMO architecture synchronization method and device, a program product and a storage medium, and relates to the technical field of wireless communication. Receiving sampling signals through a plurality of receiving channels; performing down-sampling on each sampling signal to obtain a down-sampling signal; determining a plurality of cache regions to store each downsampling signal, and performing cross-correlation operation on each downsampling signal and a local synchronous time domain signal; when any receiving channel detects an effective peak value, determining the position of the effective peak value as a preliminary synchronization position; determining a corresponding search window range, and performing weighted stacking on the target cross-correlation results to obtain an overall correlation peak value; searching a maximum value in all the total correlation peak values, and determining a position corresponding to the maximum value as a final synchronization position; and calculating a frequency offset estimation value of each receiving channel according to each pilot signal, and carrying out weighted average on each frequency offset estimation value to obtain a final frequency offset estimation value. By adopting the method, the wireless frame synchronization precision can be improved.

The invention relates to an image acquisition method and device, equipment, a storage medium and a program product, and the method comprises the steps: obtaining the actual frame rate of each camera in a multi-view camera, obtaining a frame synchronization signal according to the actual frame rate of each camera and a preset target demand frame rate, and then transmitting the frame synchronization signal to each camera, and indicating each camera to output a collected image according to the frame synchronization signal. By adopting the method, the frame synchronization effect of the acquired images output by the cameras can be improved.

The application discloses a frame synchronization-based laser communication and ranging integrated system, and belongs to the technical field of satellite laser communication.The system solves the problem that ranging precision is limited under the condition of low communication rate.The system comprises a sending end and a receiving end, wherein the sending end comprises a synchronization header sequence generating module, a data sequence generating module and a framing module, the receiving end comprises a synchronization sliding correlation / rough ranging calculation module, a fine ranging calculation module and a data sequence extracting module; the synchronization header sequence generating module generates a synchronization header sequence, the data sequence generating module generates a data sequence, and the framing module completes splicing of the synchronization header sequence and the data sequence; the synchronization sliding correlation / rough ranging calculation module performs frame synchronization and calculates an integer symbol period of transmission delay, the fine ranging calculation module calculates a fractional symbol period of transmission delay, and the data sequence extracting module performs frame disassembly according to a starting position of the synchronization header sequence, extracts the data sequence and completes communication reception.

The invention discloses a lightweight high-speed photographing system and method based on an event camera, and the system comprises a hybrid imaging module which is used for synchronously collecting the image data and event data of a scene, and comprises a visible light camera and an event camera; the hardware synchronization module is electrically connected with the visible light camera and the event camera, and is used for receiving a frame synchronization signal of the visible light camera and sending a trigger signal to the event camera, so that the event camera inserts a time stamp corresponding to a visible light image frame exposure moment in an event stream; the data processing and fusion unit is in communication connection with the hybrid imaging module and is used for receiving the image data and the event data and executing the following steps: performing time alignment on an event stream and a visible light image frame stream based on a time stamp; operating a high-frequency frame insertion reconstruction algorithm, and reconstructing a multi-frame intermediate image by using event stream data between two frames; synthesizing the original visible light image frame and the reconstructed intermediate image into a high-frame-rate video stream; and the power supply and interface module is used for supplying power to the system and outputting a high-frame-rate video stream.

The invention discloses an image acquisition method and device, equipment, a storage medium and a program product, and relates to the technical field of image acquisition. The method is used for an image acquisition device, and the image acquisition device comprises a light supplement lamp, a master camera, a slave camera and a controller. The method comprises the following steps: the controller sends a first exposure control signal to the main camera; under the condition that the first exposure control signal is received, the main camera performs periodic exposure; under the condition that single exposure is completed, the master camera sends a frame synchronization signal to the slave camera; under the condition that the frame synchronization signal is received, the slave camera performs exposure; the controller controls the light supplementing lamp to perform periodic light supplementing based on the exposure time of the camera, and the light supplementing time period of the light supplementing lamp covers the exposure time period of the camera; and the master camera and the slave camera transmit acquired image data to the controller.

The invention discloses a channel-associated local oscillator free space continuous variable quantum key distribution method, which comprises the following steps of: initializing a receiving end telescope and a transmitting end telescope, detecting the local oscillator light intensity of a receiving end, adjusting the telescopes to be in an optimal coupling efficiency state, and tracking the change of beacon light through a fine tracking and pointing system of the telescopes so as to maintain the stability of a communication link; a transmitting end performs heterodyne detection on 90% of thermal-state optical signals after polarization and beam splitting of a thermal-state light source, results X and P serve as local initial secret keys, the other 10% of thermal-state optical signals are attenuated and then combined with local oscillation light to be transmitted to a receiving end through a free space channel so as to perform homodyne or heterodyne detection, and corresponding initial continuous secret key data are obtained; and the receiving end performs data frame synchronization, phase compensation, parameter evaluation, error correction and confidentiality enhancement on the obtained initial continuous key data to obtain a binary bit key. The channel associated local oscillator free space CVQKD safe coding based on the thermal state source is realized, and the average key distribution rate under a-15dB attenuation channel reaches a thousand bps magnitude.

The invention discloses an electronic outside rear-view mirror image optimization display method based on environment perception and an electronic rear-view mirror, and belongs to the technical field of electronic rear-view mirrors. The method comprises the steps that environment information of a vehicle and state information of the vehicle are collected in real time, marking the same time reference on the image frame of the electronic rearview mirror and the collected data, and constructing to obtain a frame synchronization environment vector; carrying out multi-modal evidence fusion based on the frame synchronization environment vector, forming probabilistic judgment on an environment state, and obtaining a final state decision; using a parameter smooth transition model to calculate according to a state decision result to obtain a final optimization parameter set; and the final optimization parameter set is issued to a DSP chip, and the DSP chip generates a finally presented optimized electronic rearview mirror image. According to the method, the accuracy and robustness of electronic outside rear-view mirror image optimization are effectively improved.

The invention discloses an intelligent diagnosis method for power equipment primitive state recognition and rule fusion, and relates to the technical field of power system dispatching automation. The method is used for substation dispatching master station monitoring picture equipment primitive state recognition and abnormity diagnosis, video and graph model library data acquisition, preprocessing denoising, frame synchronization and ROI extraction. Using the improved YOLOv8-Tiny to extract a multi-modal feature to identify a primitive state; establishing an expert experience rule base, a graph-model association rule base and an anomaly judgment rule base; performing primary diagnosis on the forward chain reasoning fusion rule; performing cross checking on telecommand consistency, telemetering relevance and graph model library integrity; and outputting a result coexistence log. The problems that manual checking is low in efficiency and prone to omission are solved, the reliability of primitive recognition and correlation checking is improved, a D5000 system and a domestic operating system are adapted, complex monitoring scenes are coped, the operation and maintenance burden is relieved, it is guaranteed that monitoring pictures of a dispatching master station are accurate, and safe operation and maintenance of a power grid are facilitated.

The invention provides an LED constant-current driving chip and a display system, and relates to the field of display. The LED constant current driving chip comprises a line feed signal generation module, a display data cache module, a display control module and a constant current driving module. The line feed signal generation module is used for resetting in response to the received frame synchronization signal, and counting or timing based on the frame synchronization signal and a line feed period so as to periodically output a line feed signal; the display data caching module is used for caching the input display data; the display control module is used for generating a PWM (Pulse Width Modulation) signal according to the line feed signal and the display data read from the display data cache module; and the constant current driving module outputs a constant current driving signal based on the PWM signal so as to drive a corresponding LED lamp bead to emit light. The LED constant-current driving chip provided by the invention can output the line feed signal under the condition of no ROW line, so that the wiring is simplified, and the port utilization rate is improved.

The invention discloses a parallel receiving method and system for high-speed 16 QAM (Quadrature Amplitude Modulation) data demodulation, and the method comprises the following steps: S1, carrying out the sampling of received intermediate-frequency 16 QAM data through a high-speed ADC (Analog to Digital Converter), and obtaining four paths of signals through the serial-to-parallel conversion function of the ADC; s2, converting the four paths of signals into 32 paths of parallel signals at a conversion rate of 1: 8 by using a serial-to-parallel converter special for the FPGA; and S3, carrying out digital orthogonal down-conversion on the 32 paths of parallel signals to obtain 16 paths of baseband signals of an I path and a Q path, and then sequentially carrying out matched filtering, timing synchronization, blind equalization, carrier synchronization, frame synchronization and 16QAM judgment decoding to complete parallel receiving. According to the invention, the requirement of high bit rate is met based on three key technologies of timing synchronization, blind equalization and carrier synchronization, and the receiving and demodulation recovery functions of high-speed data in a 16 QAM modulation mode can be effectively completed.

The invention discloses an LED driving chip and a display driving structure, and relates to the technical field of LED display driving, the LED driving chip is any one of a plurality of LED driving chips cascaded through a data signal line, and the plurality of LED driving chips transmit a frame of data sequence step by step through the data signal line; the LED driving chip extracts the address ADDR from the received data sequence, and performs frame change when the count value of the internal count reaches Z-ADDR; wherein the address of the later-stage LED driving chip is obtained by adding 1 to the address of the previous-stage LED driving chip and then transmitting the data sequence, and the addresses are transmitted according to the sequence of address bits from low to high. When a single-line cascade scheme is applied to the LED driving chip, frame changing synchronization of the multiple LED driving chips can be achieved, the wiring space is saved, the display permeability can be improved, and the LED driving chip has the advantage of being small in frame changing delay.

The invention discloses a projector remote control system based on the Internet of Things, and relates to the technical field of remote control of the Internet of Things, and the projector remote control system comprises a time frequency audit baseline module, a coupling feature analysis module, a causal tracking calibration module, a multi-time-scale registration module and a regulation and control dance editing module. Video sampling rates, frame phase sequences and power waveform changes of a plurality of projectors are collected under a unified time reference, a global coupling tensor is generated, and a drift map is constructed and used for forming a system-level synchronous reference. According to the method, collaborative optimization of multiple projectors in the aspects of picture consistency, electromagnetic interference suppression and remote communication stability is realized through cross-device time-frequency auditing, coupling feature analysis, causal tracking, multi-time-scale registration, dynamic regulation and control frame synchronization and energy release.

The invention discloses an underwater sound double-expansion channel parameter estimation method based on Newton orthogonal matching pursuit. The method comprises the following steps: firstly, realizing frame synchronization by using a cross-correlation peak of an LFM signal and a received signal; a coarse estimation value of a Doppler coefficient is obtained on a discrete time frequency grid through an ambiguity function method by utilizing the self-correlation characteristic of m-sequence pilot frequency, multipath time delay of a channel is detected by utilizing a matched filtering peak value of a signal after frequency offset compensation, and a coarse estimation result of the channel is obtained; executing Newton iteration optimization in a continuous parameter space by adopting a Newton orthogonal matching pursuit algorithm to realize super-resolution off-grid estimation of the Doppler coefficient of the first data block; and finally, proposing an iterative block tracking strategy, initializing the compensation of the rear block through the estimated value of the front block, and updating the time-varying Doppler coefficient by using the balanced signal feedback to realize the dynamic tracking of the time-varying Doppler coefficient. According to the invention, the Doppler estimation root-mean-square error is obviously reduced, and the calculation efficiency is high.

The invention discloses a multi-granularity data cascade updating method and device based on a dynamic topological graph and a medium, and relates to the technical field of data processing. The method maintains a multi-level data dependency model (DAG) in memory. The system recursively updates a target node by monitoring the change of a source node and utilizing an incremental propagation algorithm. For a high-concurrency scene needing isolation verification, the method introduces an overlay shadow topology mechanism: on the premise of not destroying a main graph structure and not copying a total graph, only instantiating a shadow copy of an affected node based on a Context ID, and constructing an overlay Mapping pointing to a father node; when the propagation path is calculated, the numerical value of the shadow node is preferentially read based on the context, and the propagation path of the original node is logically blocked in the current context. The invention further provides a path convergence mechanism and rendering frame synchronization technology based on topology in-degree, and the problems of resource competition, data consistency and front-end rendering flicker under the complex dependence network are effectively solved.

The invention discloses a double-flow image transmission system and method based on a high-speed SerDes interface, and belongs to the technical field of high-speed image transmission, the system comprises a sending end and a receiving end, an image source A and an image source B of the sending end do not need DDR cache synchronization, and image frames are segmented, interleaved and packaged through a dynamic time slice distribution mechanism and then sent to a single high-speed SerDes channel; and a receiving end collects data and then de-interleaves and recombines the recovered image. The data encapsulation comprises a frame synchronization head, a block synchronization head and the like for identification, the dynamic time slice distribution mechanism alternately or independently sends image blocks according to the image preparation condition, and the image adopts a double-cache mechanism to avoid data coverage. The method improves the channel bandwidth utilization rate, saves hardware resources, is good in compatibility, supports various data stream combinations, reduces frame delay, and is suitable for single-channel multi-stream and multi-channel multi-stream transmission.

The invention discloses an image acquisition method and device, electronic equipment and a storage medium. The image acquisition method comprises the following steps: acquiring a frame synchronization signal; and simultaneously outputting the frame synchronization signal to the plurality of acquisition devices based on a frame synchronization signal line, so that the plurality of acquisition devices acquire a group of synchronizable images. A plurality of acquisition devices are connected with a control chip through the same frame synchronization signal line, and frame synchronization signals are simultaneously output to the plurality of acquisition devices through the frame synchronization signal line, so that the plurality of image acquisition devices can perform image acquisition at the same triggering moment, and a group of synchronous images which are aligned during frame are obtained. According to the invention, the image synchronization between the synchronizable images is improved, so that if the synchronizable images are spliced, the jelly effect in the splicing process can be obviously reduced, and the acquisition requirement of the intelligent parking system on the high-time-sequence consistency image data is met.

The present application relates to a resonant cavity optical imaging system and method. The system includes: a light source; an emission modulator connected to the light source signal; the emission modulator includes an entrance pupil lens, an exit pupil lens, an electro-optical crystal, and a resonant cavity formed between the entrance and exit pupil lenses, with the electro-optical crystal disposed within the resonant cavity; an imaging module and a receiving demodulator connected to the front end of the imaging module; the receiving demodulator has the same configuration as the emission modulator; a microwave generator connected to the emission modulator and receiving demodulator signals, respectively; a processing module connected to the microwave generator signal; the processing module is also connected to the imaging module signal and is used to control the imaging module's frame synchronization signal so that the imaging module receives the demodulated signal within the effective time window of microwave optical modulation. The method is applied to the above-mentioned system. The present application can modulate the frequency of the emitted light to the GHz level, thereby reducing the ToF ranging accuracy to the millimeter level, thereby improving the ToF ranging accuracy.

The invention discloses an asynchronous space and time warping rendering system for XR equipment. The asynchronous space and time warping rendering system comprises an attitude prediction module, an asynchronous warping processing module, a synthesis and output module and a monitoring and feedback module. According to the method, space warping and time warping are decoupled from a main rendering thread, an independent asynchronous warping processing assembly line is constructed, interference of warping calculation on main rendering performance can be effectively isolated, and the stability of an application rendering frame rate is ensured; according to the system, through dynamic monitoring of rendering load and prediction precision, distortion parameters and execution strategies are adaptively adjusted, and on the premise of ensuring visual quality, perception delay can be significantly reduced and frame rate output can be smoothed; according to the method, a layered buffering and synthesizing mechanism is adopted, the problem of inter-frame asynchronization or tearing possibly caused by asynchronous execution is reduced, image coherence and visual comfort in a high-dynamic motion scene are improved, and meanwhile the overall utilization rate of graphic processing hardware is increased.

The invention discloses a TFDM-PON uplink transmission system and OLT equipment, and relates to the technical field of optical access networks, and the OLT equipment comprises a coherent receiver which is used for converting a received signal into a first electric signal; the analog-to-digital converter is used for sampling the first electric signal; the first digital signal processor is used for processing the sampled burst frame, the burst frame comprises a lead code, and the lead code comprises a training sequence segment TS-B; the first digital signal processor is configured to calculate the conjugate correlation of the two segments of sequences by using the [S, S] structure of TS-B, and locate the initial position of a burst frame to perform frame synchronization; calculating a power distribution ratio and a relative phase difference of a received signal in two polarization states by using a signal borne by a [S, S] structure of TS-B, and executing maximum-ratio polarization combination; and calculating the initialization coefficient of the equalizer by using the signal sent by the ONU equipment and the received signal subjected to frame synchronization and polarization combination. The invention can shorten the length of the lead code to improve the transmission efficiency.

The invention discloses a satellite Internet of Things uplink signal detection method and a satellite Internet of Things uplink signal detection system, which integrate traditional signal processing and advanced spiking neural network technologies, realize high-precision frame synchronization by performing two-dimensional cross-correlation matching in a time-frequency domain, and perform low-power-consumption and high-robustness symbol judgment by using an event-driven spiking neural network. Compared with a traditional method based on FFT or matched filtering, the method has higher adaptability and detection performance in a satellite Internet of Things scene with large Doppler frequency shift, low signal-to-noise ratio and dense users.

A Doppler estimation and compensation method for underwater acoustic direct-spread communication in a time-varying Doppler channel belongs to the field of underwater acoustic communication. The present invention solves the problem of low Doppler estimation accuracy due to ambiguity in existing Doppler estimation methods in underwater acoustic direct-spread communication scenarios. The method of the present invention specifically comprises the following steps: using a copy-related frame synchronization technology to perform frame synchronization on the received direct-spread signal; then demodulating to baseband to obtain a coarse Doppler estimation value for each symbol in the baseband signal; then calculating the phase difference between adjacent symbols, and using the phase difference to calculate a fine estimation result with ambiguity; defuzzifying the fine estimation result with ambiguity to obtain a high-precision Doppler estimation result; finally, using the Doppler estimation result to compensate for the phase deviation caused by the time-varying Doppler, thereby improving the robustness of communication and the accuracy of signal reception. The method is simple, low in complexity, and suitable for practical applications. The method of the present invention can be applied to Doppler estimation compensation for underwater acoustic direct-spread communication.

A digital filter (6) performs polarization variation compensation for data of at least two polarizations in which a plurality of known signals are inserted at predetermined positions in each frame by means of a filter in which a tap coefficient is set. Before a frame synchronization unit (4a) generates a frame signal from an output signal of a digital filter, a tap coefficient update circuit (7) updates the tap coefficient such that the difference between the amplitude value of the data and the amplitude value that the data should take is small. After a frame signal is generated, a tap coefficient updating circuit (7) receives the frame signal in a feedback manner, detects a known signal from the data on the basis of the frame signal, and updates the tap coefficient such that the difference between the detected known signal and the true value of the known signal becomes small.

The embodiment of the invention provides a signal tracking method and device, electronic equipment and a storage medium, and belongs to the technical field of satellite navigation. The method comprises the following steps: determining a reference parameter of a first tracking channel according to a captured to-be-processed signal; synchronizing the reference parameter to a second tracking channel; controlling the first tracking channel and the second tracking channel to perform coherent integration and non-coherent accumulation based on the reference parameters respectively to obtain a first accumulation result and a second accumulation result; and under the condition that the effective accumulation result does not exist, according to the integral result of the coherent integral of the first tracking channel, respectively updating the carrier loop and the code loop of the BPSK signal to obtain an updated reference parameter, and returning to execute the step of synchronizing the reference parameter to the second tracking channel until the effective accumulation result is detected to exist. And generating a to-be-frame-synchronized message based on the effective accumulation result. According to the invention, stable tracking requirements of BPSK and MCSK signals can be compatible.

The invention provides a data link wireless communication timing synchronization method, which comprises the following steps of: adopting a plurality of groups of PN sequences as the basis of synchronous timing, detecting TOD after PN serial numbers when an effective synchronization symbol number is detected, carrying out CRC (cyclic redundancy check) on information contents, adopting RS (Reed-Solomon) coding and decoding, and then carrying out 8-time spectrum spreading; and the demodulation end determines an effective timing position according to serial numbers of different hops by taking the verified correct position as a basis for synchronizing the timing time point. The method has the beneficial effects that the synchronization signal-to-noise ratio can be reduced to be lower than 0db, and meanwhile, the false alarm probability and the missing alarm probability are greatly reduced, so that the frame synchronization performance is improved; and the anti-interference capability of the time domain and the frequency domain is enhanced.