2289 results about "Signal amplification" patented technology

The invention relates to the technical field of brain-computer interfaces, in particular to an electroencephalogram signal amplification method, device and equipment based on topological gradient field coding. The method comprises the following steps: acquiring a first data set corresponding to a scalp electroencephalogram of a testee through electroencephalogram acquisition equipment, and performing Hilbert transform to extract phase information so as to calculate a topological gradient field; key phase features meeting the energy concentration ratio feature and the duration feature are extracted from the topological gradient field, so that the key phase features with the energy concentration ratio threshold value larger than a preset value and the duration exceeding a time threshold value are screened out; inputting the key phase features to a pre-constructed generative adversarial network, and generating an enhanced phase field by a generator of the generative adversarial network through adversarial training; and combining the enhanced phase field with the low-frequency amplitude component, subjected to wavelet decomposition, of the first data set to construct a complex field, simulating spatio-temporal evolution of the complex field based on a nonlinear dynamic model, and generating a finally enhanced and amplified electroencephalogram signal. And efficient characterization of electroencephalogram phase information is realized.

The invention relates to the technical field of radar sensing, and discloses a sensing method and system based on millimeter radar waves. The method comprises the steps that millimeter wave radar receiving signals are subjected to low-noise amplification, frequency bands are screened through a band-pass filter and then mixed with local oscillation signals to obtain distance and speed information, after analog-to-digital conversion digitization, features are extracted to distinguish a human body target in a closed / open space, and finally multi-scene adaptability analysis is executed to generate human body position state information. According to the invention, through construction of a signal processing link, from signal amplification, filtering, frequency mixing and digital processing to target identification and multi-scene adaptability analysis, comprehensive perception of a human body target is realized, a static human body and a non-human body interference source can be effectively distinguished, a processing strategy is automatically adjusted according to different space environment characteristics, and the processing efficiency is improved. And the accuracy and reliability of human body perception are greatly improved.

The invention discloses an SF6 gas leakage detection method and system based on a photoacoustic spectrum analyzer, and the method comprises the steps: arranging a sampling end to collect an SF6 gas sample, and obtaining stable gas input through constant-current sampling and steady-state pretreatment; steady-state gas is guided into the photoacoustic spectrum analyzer, and resonance frequency stabilization and signal amplification output are achieved through the self-tuning unit; executing double-microphone differential detection and digital filtering processing, and outputting a stable SF6 detection signal with a high signal-to-noise ratio; performing time calibration, abnormity elimination and consistency processing on the detection signal to generate standardized detection data; inputting the standardized data to a Transform model, and performing inversion to generate an SF6 leakage source position and a diffusion path; and displaying an inversion result on a monitoring interface, triggering a sound-light alarm when the inversion result exceeds a limit, and uploading the inversion result to a cloud monitoring platform. According to the invention, the intelligent photoacoustic spectrum system combining photoacoustic-fluid steady-state control and self-tuning detection is constructed, so that high-sensitivity detection and accurate positioning of SF6 gas leakage are realized.

The embodiment of the invention provides a signal processing circuit, a chip and electronic equipment. The signal processing circuit comprises an analog-to-digital conversion module and a signal amplification module, the first chopping switch module is used for modulating the differential input signal to high frequency under the control of a preset clock signal and inputting the signal to the signal amplification module; the second chopping switch module is used for modulating the differential output signal output by the signal amplification module to a low frequency under the control of a preset control signal and inputting the low frequency to the analog-to-digital conversion module; and the second chopping switch module also enables the analog-to-digital conversion module to establish sampling under the control of a preset control signal. According to the application, the second chopping switch module is multiplexed as a sampling switch of the analog-to-digital conversion module, so that the problem that on-resistance is increased due to the fact that a chopping demodulation switch and the sampling switch are arranged at the same time can be avoided.

The invention discloses a design optimization method of a radio frequency power amplifier, and relates to the technical field of design optimization. The method comprises the following steps: collecting the working frequency and the circuit topological structure of the radio frequency power amplifier, establishing a digital twin simulation model, and generating an initial impedance value; simulation performance indexes of the amplifier under the input signal are obtained through simulation; matching network parameters are adjusted according to a dynamic reconstruction matching network algorithm, and a dynamic optimization impedance set is generated; controlling the tunable element to reconstruct the actual impedance value of the radio frequency power amplifier, and collecting the actual performance index of the output signal; comparing an error between the simulation performance index and the actual performance index, and if the error exceeds a preset error threshold, iteratively updating a parasitic parameter of the digital twinborn model; and if the error is within the threshold value, locking the actual impedance value as the optimal configuration, and amplifying and outputting the input signal. The working efficiency of the radio frequency power amplifier is improved.

Described herein are methods, compositions and articles of manufacture involving neutral conjugated polymers including methods for synthesis of neutral conjugated water-soluble polymers with linkers along the polymer main chain structure and terminal end capping units. Such polymers may serve in the fabrication of novel optoelectronic devices and in the development of highly efficient biosensors. The invention further relates to the application of these polymers in assay methods.

The invention relates to the technical field of optical particulate matter sensing, in particular to a particulate matter particle size recognition and concentration detection method. The method comprises the following steps: laser emitted by a laser forms a laser beam which is focused and then diverged through a lens; with a laser focus as a reference, at least two photosensitive devices are distributed in the light beam propagation direction and comprise a perifocus device and a far focus device, and receiving surfaces of the near focus device and the far focus device face laser beams to collect scattered light; scattered light signals of each device are collected, and are input into a processing unit after independent current / voltage conversion, signal amplification and analog-to-digital conversion; based on the characteristics that small-particle-size scattered light is preferentially captured by perifocus high irradiance and large-particle-size scattered light is preferentially captured by far focus large beam diameter, a mapping relation between particle sizes and channels is established; the number concentration and mass concentration coefficient of each channel is calibrated through standard particles, and synchronous detection of PM1.0, PM2.5 and PM10 is realized in combination with linear processing, so that the particle size recognition precision and the concentration measurement reliability are effectively improved.

The invention provides an integrated electrochemical biosensor capable of detecting double miRNA with high sensitivity, and the integrated electrochemical biosensor can simultaneously detect double miRNA markers with high sensitivity through self-assembly of a Y-shaped capture probe, preparation of an Au / TiO2-FTO array electrode, catalytic hairpin amplification (CHA) and construction of a micro-droplet chip electrochemical biosensor. The advantages of equalization of double-target miRNA capture probe sites, excellent electrode performance, reliable signal amplification, low sample consumption and the like are integrated, the linear range of miRNA21 and miRNA155 detection is 10 fM to 100 nM, and the detection limits are 5.00 fM and 5.17 fM respectively. By detecting the miRNA21 and miRNA155 double markers, the accuracy of breast cancer diagnosis is up to 98%, and the recognition sequences at the two ends of the Y stent probe are modified, so that the sensor can be used for diagnosing other miRNA marker related diseases. The integrated micro-droplet chip electrochemical biosensor constructed by the invention has a remarkable clinical diagnosis value and a prominent practical application prospect.

The invention discloses a dual-compensation active common-mode EMI filter based on impedance mismatch and a design method thereof, and belongs to the technical field of filter design, the dual-compensation active common-mode EMI filter is connected between an interfered end and an interference source end, the dual-compensation active common-mode EMI filter comprises a voltage sampling circuit, a signal amplification circuit and a compensation circuit, the compensation circuit comprises a voltage injection module and a current injection module, the first end of the voltage injection module is connected with the first end of the voltage sampling circuit, the second end is connected with the second end of the signal amplification circuit, and the third end is connected with the first end of the interference source end; the first end of the current injection module is connected with the second end of the signal amplification circuit, the second end is connected with the third end of the voltage injection module, and the third end is connected with the second end of the interference source end. According to the invention, the insertion loss of the filter can be significantly improved, the filter has an effective bandwidth enough to cover and conduct electromagnetic interference, has better attenuation on full-band noise signals, and has the advantages of small size and high insertion loss.

The invention discloses a high-speed level conversion circuit, and belongs to the technical field of integrated circuit design, the circuit mainly comprises an input signal processing module, a voltage boosting module, a differential signal generation module, a signal amplification module and an output module, the input signal processing module converts a low-voltage input signal into a complementary logic signal pair; the voltage boosting module raises the voltage amplitude of the complementary logic signal by using a charge pump principle; the lifted signal drives a thick gate transistor in the differential signal generation module to generate a differential signal; the signal amplification module adopts a cross coupling structure to quickly amplify the differential signal; and finally, the output module outputs a high-voltage domain signal in an inverted manner. By introducing voltage bootstrap before gate driving, the overdrive voltage of a core switch tube is remarkably increased, so that the problem of low conversion speed of a traditional level conversion circuit is effectively solved on the premise of not increasing the device size and static power consumption, and high-speed and high-efficiency level conversion is realized.

Provided herein are methods of determining a location or presence of a target analyte in a biological sample by detecting oligonucleotide-conjugated binding agents.

The invention discloses a novel tsRNA high-sensitivity detection kit based on CRISPR (clustered regularly interspaced short palindromic repeats) / Cas13a-Cas14a, and belongs to the field of tumor marker detection. The tsRNA (tRNA-derived small RNA) is a diagnostic marker which is found recently and has great potential. In order to realize the clinical transformation of tsRNA as soon as possible, the tsRNA detection kit is developed on the basis of nuclease P1 combined with CRISPR / Cas13a-Cas14a linkage dual systems, and comprehensive, ultra-sensitive, high-specificity, low-cost and rapid tsRNA detection is realized through multiple signal amplification. Compared with the traditional technology, the sensitivity of the method is improved by 105-107 times, 1% of tsRNA in the mixture can be detected, and the method has more advantages in clinical application. Therefore, a new scheme is provided for application of the tsRNA in clinical diagnosis of diseases, and meanwhile, a reliable technology is provided for mechanism research of the tsRNA in occurrence and development of the diseases.

The invention relates to the technical field of radio-frequency signal processing, and discloses a 5G radio-frequency signal amplification method and system, and the method comprises the steps: decomposing an obtained radio-frequency signal into a high-frequency sub-band and a low-frequency sub-band through a multilayer wavelet packet, judging whether the radio-frequency signal is sparse in a wavelet packet domain, and carrying out the sparse reconstruction of an LI norm minimization problem if the radio-frequency signal is sparse; obtaining feature data of each sub-band, extracting a nonlinear transfer function of each sub-band through a CNN-GRU network, and carrying out transfer learning pre-training and dynamic adaptation updating; on the basis of dynamic adaptation update ending, layered memory polynomial calculation and layered model joint output construction, layered model parameter optimization is converted into a least square problem to obtain an error compensation function, and resource allocation is dynamically adjusted according to the peak-to-average power ratio of an input signal; and based on power amplifier state data, holographic sensing is performed on nonlinear parameters of the device through a fusion model, and dynamic changes of the device are compensated through multi-stage calibration and calibration delay is controlled.

A logarithmic amplifier system is disclosed. The system includes first and second amplifiers respectively having first and second gains; a first multiplier having an input connected to an output of the first amplifier, and being configured to output a first multiplied signal based on an output signal of the first amplifier and based on a received first multiplication factor equal to a value K; a second multiplier having an input connected to an output of the second amplifier, and being configured to output a second multiplied signal based on an output signal of the second amplifier and based on a received second multiplication factor equal to 1 minus the value K; a transition shaping circuit configured to change the value K from 0 to 1 with a filtered transfer function; and a summing circuit having inputs coupled to outputs of the first multiplier and the second multiplier.

The present invention discloses an audio recording and conversion method for a Bluetooth headset, specifically related to the field of audio recording and conversion. The present invention pairs and connects with the Bluetooth headset by turning on the Bluetooth function of the sound source device; subsequently, the recording process is started by pressing the "Recording" button on the headset, and the system guides the user to select the audio format and confirm the recording settings; during recording, the built-in microphone of the headset collects audio signals in real time, denoises and amplifies the collected audio signals, and then converts the processed audio signals into digital signals; the processed digital signals are embedded with watermarks, and the watermark evaluation value is calculated, and the watermark is verified by comparing the watermark evaluation value; then, the digital signals are converted into analog signals and reconstructed into audio signals, and finally, the system performs watermark detection on the reconstructed audio signals, and ensures the integrity and authenticity of the audio signal data by comparing the detected watermark information.

The invention provides an immunodetection method of a multi-index immune checkpoint detection kit, which belongs to the technical field of immunodetection and comprises three main stages of sample preparation, immune reaction and data analysis. The method comprises the following steps: firstly, carrying out centrifugal separation to obtain a plasma sample, and preparing a fluorescent microsphere coupled capture antibody and biotin labeled detection antibody compound; then carrying out immune reaction, forming a sandwich type immune complex through specific binding, and adding streptavidin marked by phycoerythrin for signal amplification. Detecting a fluorescence signal by adopting a flow cytometer to obtain an original data matrix; a contribution feature vector, a utility feature vector and an expression feature matrix are extracted through a feature decomposition algorithm, and a deep learning model of a total-score-total structure is established for data analysis. Finally, a detection report containing a quantitative result, an importance score and reliability evaluation is generated, and the technical problem that in the prior art, the analysis accuracy of a multi-index immune checkpoint detection result is insufficient is solved.

The invention discloses a method for detecting the concentration of cyclosporine in blood through fluorescence and electrochemical double signals, and belongs to the technical field of biochemical analysis and medical detection. Aiming at the technical problems of insufficient sensitivity and high false positive rate of traditional single-signal detection of blood concentration of cyclosporine, the method comprises the following steps: activating carboxyl microspheres by a coupling agent, fixing double-stranded DNA (deoxyribonucleic acid) formed by a cyclosporine aptamer and an initiator chain, inducing the initiator to release by using a cyclosporine sample, realizing strand displacement through an A2-PEI composite system, and detecting the blood concentration of cyclosporine by using an A < 2 >-PEI composite system. DNA modified cadmium telluride quantum dots are respectively adopted to detect fluorescence signals, eATRP electrochemical signal amplification is carried out to detect electrochemical signals, concentration values obtained by the two signals are verified, and an average value is taken as a result. The method can accurately capture low-concentration cyclosporine signals in blood, eliminates interference of a single method, is mainly used for accurately monitoring the blood concentration of cyclosporine, and provides a reliable detection means for medication safety and curative effect control of cyclosporine in clinical scenes such as organ transplantation.

The invention provides a correlated double-sampling program-controlled gain amplifier for a high-energy particle detection pixel sensor and an implementation method, and solves the technical problem that a large dynamic range and high readout precision cannot be considered at the same time during existing high-energy particle detection. The circuit comprises a correlated double-sampling circuit, a signal polarity conversion circuit, an amplification feedback circuit and a configuration automatic judgment circuit. The correlated double sampling circuit is used for performing double sampling on the output voltage of the pixel signal to obtain twice sampling voltage; the configuration automatic judgment circuit is used for selecting configurations for switching according to the voltage difference between the two sampling voltages to obtain an output signal; and the amplification feedback circuit is used for performing fixed gain voltage amplification on the output signal to obtain an amplified voltage signal. The circuit can be widely applied to the technical field of integrated circuits.

The invention relates to the technical field of protection circuits, in particular to a voltage threshold dynamic detection earth leakage protection circuit and a circuit protection board. According to the technical scheme, the device comprises a differential current detection module which is used for collecting current difference signals of a live wire and a zero wire in real time; the dynamic threshold adjusting module is connected with the environment sensor and the processing module, and dynamically sets an electric leakage judgment threshold based on environment parameters and load current spectrum analysis; the time division multiplexing programmable analog front end is used for sequentially executing signal amplification, filtering and analog-to-digital conversion functions through time sequence control; the solid-state electronic switch breaking module responds to the electric leakage signal output by the processing module and realizes circuit breaking; and the self-checking and fault-tolerant module periodically generates analog leakage signals to verify the functional integrity of the system. The method adapts to environmental load change through dynamic threshold adjustment, improves signal processing efficiency through time division multiplexing, guarantees reliability of the system through self-checking fault tolerance, and realizes accurate and rapid leakage protection.

The invention discloses a current-to-voltage conversion circuit structure for electroporation delivery. The current-to-voltage conversion circuit structure comprises a current-to-voltage conversion circuit and a voltage-to-pulse conversion circuit. The current-to-voltage circuit converts current signals into voltage through an input signal processing module, high-precision amplification is achieved through an operational amplifier and a feedback network of a signal amplification module, the driving capacity is enhanced through a transistor cascade circuit, and temperature drift is dynamically compensated in combination with a thermistor. The voltage-to-pulse circuit corrects non-linear errors through a resistance network of the linearization processing module, achieves gain adjustment through an operational amplifier and an adjustable resistor, and finally adapts to load changes through a field effect transistor and a negative feedback network. The circuit realizes high conversion precision, wide temperature range stability and load adaptive capability, and is suitable for high-precision scenes such as medical treatment or beauty electroporation, industrial sensing and the like.

The invention discloses a non-standard electromagnetic target detection and smart interference integrated system based on a ZYNQ architecture in the technical field of electronic countermeasure and communication systems, and the system comprises an antenna unit which is used for receiving and transmitting electromagnetic signals of a wide frequency band; the gain module is used for amplifying the received and transmitted signals and improving the signal quality and the detection sensitivity; the radio frequency front end is used for completing up-down frequency conversion and analog-to-digital conversion of signals and transmitting and receiving operation of radio frequency signals and providing necessary signal conversion and processing functions for the system; the PC end is used for issuing a control instruction and adjusting the gain of the system so as to realize amplification and flexible adjustment of the signal; the FPGA signal processing unit is used for completing signal generation, receiving and processing and subsequent signal analysis and interference algorithm execution based on an FPGA platform, the detection precision and the processing speed of the system are remarkably improved, a non-standard electromagnetic target in a complex electromagnetic environment can be efficiently recognized and dealt with, and interference response is flexibly carried out.

The invention provides a method for detecting salmonella enteritidis, which comprises the following steps of: 1, expressing a nano antibody for resisting salmonella enteritidis FliC by using escherichia coli, and verifying the nano antibody; step 2, preparing immunomagnetic beads for resisting FliC protein, and verifying the immunomagnetic beads; step 3, carrying out specific enrichment on the target bacteria; 4, performing rapid splitting decomposition to release nucleic acid; step 5, carrying out isothermal amplification on the target DNA fragment; and step 6, CRISPR / Cas12a mediated signal amplification and detection are carried out. The kit has the effects of ultra-fast detection, high sensitivity, high specificity, portability, easiness in operation, no need of bacterial culture and the like.

The invention relates to the technical field of intelligent security inspection equipment, in particular to a self-learning metal detection security inspection door capable of being intelligently adjusted. The signal acquisition module is used for acquiring magnetic field change information of the total magnetic field; the signal amplification module is used for amplifying the electric signal; the signal filtering module is used for filtering the amplified electric signal; the alarm module is used for analyzing whether a metal early warning standard is met or not based on the amplitude of the filtered electric signal; the recording module is used for recording a time node for sending the alarm signal and a processing log aiming at the alarm signal; the analysis module is used for analyzing whether operation of the security check door is qualified or not based on the number proportion of the passing time nodes and determining the disqualification reason based on the variance of the amplitude of the electric signals of the passing time nodes, the traditional metal detection technology and the intelligent analysis algorithm are combined, the security check efficiency is improved, and the operation and maintenance cost is reduced.

The invention discloses a Cb Ago-based TdT detection reagent and a Cb Ago-based TdT detection method. The TdT detection reagent comprises a TdT extension reaction system and a TdT detection system, wherein the TdT extension reaction system comprises a TdT reaction buffer solution, deoxythymidine triphosphate, cobalt ions and an extension reaction detection probe; the Cb Ago system comprises Cb Ago, a Cb Ago buffer solution and a fluorescence report probe. The extension reaction detection probe disclosed by the invention can extend under the action of TdT, and then is in specific complementary pairing with the fluorescent reporter probe to activate Cb Ago to cut the fluorescent reporter probe, so that TdT detection is realized. The high specificity of the TdT extension reaction and the signal amplification capacity of Cb Ago are combined, and the method has the advantages of being easy and convenient to operate, high in sensitivity, low in cost, suitable for on-site detection and the like and is expected to become a powerful tool for detecting TdT.

The invention discloses a bridge deck pavement layering test method and system based on multi-point knocking and deep learning, belongs to the technical field of bridge engineering, and aims to solve the technical problem of how to efficiently and non-destructively realize bridge deck pavement layering detection and ensure detection precision and construction quality. Comprising the following steps: knocking bridge floor sections through detection equipment provided with a plurality of electromagnetic knocking hammers to obtain sound wave signals in an analog signal form; performing signal amplification, filtering and analog-to-digital conversion processing on the acquired sound wave signal; time domain features and frequency domain features of the sound wave signals are calculated respectively, and a feature matrix is constructed based on the time domain features and the frequency domain features; analyzing the health state of the bridge deck segments through the trained bridge deck pavement layered disease detection model, and predicting and outputting an analysis result; and determining the damaged area of the bridge floor based on the analysis result of each bridge floor segment, constructing a repair suggestion, and constructing a pseudo-color thermodynamic diagram of the bridge floor based on the analysis result of each bridge floor segment.

The invention relates to the technical field of gas ultrasonic flow meters, in particular to a flow integrating system based on a gas ultrasonic flow meter. The system comprises a data acquisition unit which acquires and stores data based on an acquisition and storage module; the ultrasonic transduction unit converts sound energy into an ultrasonic signal through an ultrasonic transducer based on the data acquired by the data acquisition unit; the flow measuring unit is used for driving a transducer, amplifying the ultrasonic signal and carrying out filtering and operation processing on the basis of the ultrasonic signal converted by the ultrasonic transduction unit; the flow integrating unit collects instantaneous flow, temperature and pressure data according to the operation processing result of the flow measuring unit, calculates the optimal compression factor, calculates the working condition accumulated flow, the standard condition instantaneous flow and the standard condition accumulated flow, and displays the values through a liquid crystal display screen. Through signal amplification, filtering and automatic gain control, noise and interference are effectively removed, and the signal quality and the signal-to-noise ratio are improved.

The invention belongs to the field of immunological detection, and provides a double-antibody sandwich ELISA kit for detecting the content of human beta-NGF. The enzyme-linked immunosorbent assay kit constructed by the invention is based on a double-antibody sandwich method, and is combined with a biotin-streptavidin signal amplification system and an enzyme developing amplification system, so that the detection sensitivity and specificity are greatly improved, and low-content samples can be accurately and quickly detected. The kit shows excellent stability and specificity and can be used for quantitatively detecting the content of beta-NGF in samples such as human serum, cell supernatant or tissue homogenate, so that an objective detection basis is provided for diagnosis, curative effect evaluation and pathogenesis research of related diseases.

The invention provides a low-noise amplification circuit, a radio frequency front-end module and an electronic terminal.The low-noise amplification circuit comprises an input matching adjustment circuit, a common-source amplification circuit, a first inductor, an inter-stage feedback circuit, a common-gate amplification circuit, an input and output feedback circuit, an output matching adjustment circuit and an output attenuation circuit; the common-source amplification circuit comprises at least two first signal amplification units; each first signal amplification unit comprises a first field effect transistor; the common-gate amplification circuit comprises at least two second signal amplification units; and each second signal amplification unit comprises a second field effect transistor. According to the low-noise amplification circuit, transconductance nonlinearity of devices under different bias signals can be mutually counteracted, so that the linearity fluctuation of the low-noise amplification circuit at different temperatures is optimized, and the linearity of the low-noise amplification circuit is kept basically not to change along with the temperature change.

The invention relates to the technical field of medical monitoring, in particular to a wireless portable vital sign measuring method and system.The wireless portable vital sign measuring method comprises the following steps that wireless portable equipment is worn on a monitored person, data are collected through a heart rate sensor and a blood pressure monitor, signal amplification is conducted on heart rate data, filtering is conducted on the signals to remove noise, and the signals are sent to the monitored person; and obtaining a vital sign data record. According to the method, the complexity and irregularity of data fluctuation are monitored through entropy calculation, an abnormal fluctuation mode can be found as soon as possible, real-time health risk assessment is crucial to quick response to emergency situations, the cardiovascular health condition is assessed by comparing an entropy abnormal index with a health risk threshold value, and the health risk assessment accuracy is improved. A cardiovascular health abnormal signal is transmitted to a medical service provider through a wireless network, meanwhile, the safety and efficiency of transmission are ensured by adopting a data encryption and compression technology, and the operability and real-time performance of remote medical treatment are greatly optimized.

The invention discloses a multipath effect suppression method for 2.4 GHz radio frequency identification. The multipath effect suppression method comprises a transmitting end processing flow and a receiving end processing flow. A transmitting end carries out pulse code modulation on an analog signal to obtain a digital signal, blocks the digital signal after channel coding, and distributes the digital signal to subcarriers through quadrature amplitude modulation; and generating a time domain OFDM symbol through IFFT (Inverse Fast Fourier Transform), adding a cyclic prefix and a synchronization head, converting into an analog baseband signal, and performing up-conversion, filtering, amplification and radiation. The receiving end amplifies the signal, down-converts the signal to a baseband, filters the signal and converts the signal into a digital signal; the method comprises the following steps of: synchronizing header frame alignment, recovering a coding bit stream through FFT (Fast Fourier Transform) and QAM (Quadrature Amplitude Modulation) demodulation, carrying out CRC (Cyclic Redundancy Check) after decoding and merging, returning ACK (Acknowledgement Character) if According to the method, the multipath effect can be effectively inhibited, and the integrity of received data is improved.