87 results about "Real time signal processing" patented technology

The invention discloses an SDR-oriented heterogeneous task scheduling and transmission system and method.The system comprises a heterogeneous platform composed of an ARM and an FPGA, a dynamic scheduling decision engine is arranged in the ARM and receives a task feature vector and a platform state parameter set as input, and the dynamic scheduling decision engine evaluates income and cost of task allocation to the ARM or the FPGA for execution to make a task allocation decision; the data generated in the task execution process or the execution completion result are interacted and synchronized between the ARM and the FPGA through the heterogeneous shared memory area HSM. The method realizes reduction of signal processing pipeline delay, improvement of data throughput and optimization of system power consumption, and is suitable for communication, electronic countermeasure and other scenes needing high-performance real-time signal processing.

The invention discloses a grinding state and grinding wheel wear monitoring system and method based on multi-sensor fusion, which realize multi-physical-quantity coupling modeling and improve the monitoring precision through cooperative deployment of micro array thermocouples, strain force sensors and vibration sensors and in combination with a time domain and frequency domain feature extraction technology. The system adopts a non-contact power supply design, electromagnetic induction power generation is driven through rotation of the main shaft, real-time signal processing and wireless transmission of a circuit board in the grinding wheel are supported, and the problem of power supply in a high-speed rotation scene is solved. And meanwhile, dimension reduction processing is conducted on the multi-sensor features through an offline network model, self-adaptive adjustment of grinding parameters and ultrasonic amplitude is achieved through dynamic regulation and control logic, and the downtime and the rejection rate are remarkably reduced. The method has remarkable creativity, practicability and economic benefits, fills the blank of fragmentation monitoring and regulation and control lag in the prior art, and improves the stability and machining quality of the grinding process.

The invention discloses a strong real-time signal processing method based on multi-stream processing, and the method comprises the steps: carrying out the remainder of a preset stream number of received coherent processing interval data through a CPU according to a CPI number, obtaining a stream number, distributing the coherent processing interval data to each stream distributed calculation program corresponding to the stream number, each stream distributed computing program comprises a CUDA stream and a CPU processing thread which are executed in sequence; the GPU and the CPU execute each stream distributed calculation program to overlap the calculation time and the data copying time of the CUDA stream and the CPU processing thread to obtain each trace point condensation data with different completion time; the CPU obtains the corresponding report to be sent according to the trace point condensation data, and orderly sends the report to be sent to the target program based on a report waiting synchronization mechanism, and the application can complete front-end downloading data receiving, detection processing and report sending in strong real time, thereby improving the development efficiency, shortening the product development period, and reducing the project cost.

The invention provides a data compression sampling method and device, and the method comprises the steps: obtaining an original collection signal through data collection equipment, and storing the original collection signal to a target region; processing the original acquisition signal in the target area by using a deterministic measurement matrix and a sparse transformation matrix in response to the condition that the data volume of the target area reaches a preset value to obtain a processing result; and transmitting the processing result to target equipment. Through the deterministic measurement matrix and the sparse transformation matrix, linear mapping and instant data stream compression are carried out on the sampled original acquisition signals, the data transmission amount is significantly reduced, real-time signal processing and interaction in a resource-constrained environment are supported, and the method has small limitation on a hardware environment, has good transportability and deployment flexibility, and is suitable for large-scale popularization and application. The method is suitable for various system application requirements, so that efficient data compression sampling is realized.

The invention discloses an industrial equipment data acquisition and abnormal behavior monitoring system, which belongs to the field of data acquisition and processing, and comprises a working condition interval division and modeling module used for dividing an equipment operation state into discrete steady-state working condition intervals according to acquired equipment data, independently constructing a static statistical reference model for each working condition interval; the nonlinear abrupt change signal acquisition module is used for deploying a high dynamic response sensor and anti-electromagnetic interference hardware aiming at nonlinear abrupt change signals, and synchronously adopting a real-time signal processing technology to eliminate environmental noise; the data synchronization fusion module is used for establishing a unified time scale and synchronously aligning multiple physical quantity data through a hardware clock; the method has the beneficial effects that different working condition intervals are divided, and the static statistical reference model and the dynamic health model are independently constructed, so that the response problem of monitoring signals under different working conditions can be effectively identified, and misjudgment of abnormal behaviors of equipment is avoided.

The invention relates to an active sonar echo signal phase jump compensation method and device based on a synchronous serial number, and belongs to the technical field of underwater acoustic signal processing. The method comprises the following steps: adding a synchronous serial number into a wet end signal to form an expansion matrix; transmitting the extended signal to a signal processor and windowing the extended signal; traversing a synchronous serial number in the windowing signal, and detecting the continuity of the synchronous serial number to judge whether packet loss exists or not; if packet loss exists, positioning a packet loss position and performing zero padding operation; and finally, carrying out fast Fourier transform on the zero-filled signal to obtain a spectral analysis result. According to the method, accurate identification and phase compensation of the packet loss position are achieved through the synchronous serial number, the method is suitable for underwater acoustic single-frequency signals, and when the packet loss rate does not exceed 2.5%, spectrum sidelobes can be effectively restrained, and the peak value of the spectrum sidelobes is reduced to be within 10% of the packet loss state. The method has the advantages of being clear in principle, easy and convenient to operate and high in calculation efficiency, is suitable for real-time signal processing, and remarkably improves the reliability and efficiency of target detection.

The invention discloses a multifunctional data acquisition and transmission system based on PXIe, and belongs to the technical field of high-speed data acquisition and real-time transmission. The system comprises a data acquisition module, an analog output module, a PXIe data transmission module and a high-speed board-to-board connector, the data acquisition module acquires analog signals through an A / D conversion unit, and after cross-clock domain synchronization and rate matching are achieved through an asynchronous double-clock FIFO cache unit, the analog signals are packaged by an FPGA control unit and transmitted to an upper computer at a high speed through a DMA engine of a PXIe interface; the analog output module receives instructions of an upper computer through the FPGA, digital signals are buffered through asynchronous FIFO, analog signals are output through the D / A conversion unit, and a two-way data link is formed. The innovative design of the method comprises the following steps of: eliminating a metastable state risk by adopting asynchronous FIFO (First In First Out) synchronized by a Gray code pointer, triggering a pause / recovery signal through a threshold value in combination with an FPGA (Field Programmable Gate Array) dynamic flow control strategy to prevent data overflow or cut-off, and optimizing a PXIe DMA engine to realize high-speed transmission so as to reduce a CPU (Central Processing Unit) load. The system can be used in the fields of industrial automatic testing, high-precision instruments and real-time signal processing.

The invention provides a non-cooperative bistatic radar real-time signal processing method based on a heterogeneous platform. The non-cooperative bistatic radar real-time signal processing method comprises the steps that the heterogeneous platform is built; obtaining CPU fixed memory areas corresponding to the number of GPU blocks, and creating a data interaction thread to realize parallel computing; performing data analysis through frame header identifier retrieval to obtain transmitting signal parameter information, multi-channel echo data and reference channel data, and performing calculation to obtain echo beam data; zero padding is carried out on the echo beam data and the reference channel data, matched filtering is carried out on the echo beam data after zero padding, and a distance one-dimensional image is obtained; performing fast Fourier transform calculation in the slow time dimension to obtain data after coherent accumulation; obtaining a target trace point; and sorting the target plots, grouping the sorted plots, screening plot groups by using an M / N algorithm, fusing each screened plot group into a single plot, and outputting a final target plot array. According to the invention, signals can be processed in real time, and target trace points can be output.

The invention discloses a two-channel biorthogonal filter bank FPGA (Field Programmable Gate Array) implementation method based on matrix decomposition. The method comprises the following steps: for a two-channel biorthogonal filter bank, firstly determining an initial coefficient of a filter, then decomposing the initial coefficient into a coefficient retention sequence and a coefficient matrix, and further decomposing the coefficient matrix into a common matrix, a low-pass branch matrix and a high-pass branch matrix through common-base N-dimensional intercepted LU decomposition; the FPGA implementation scheme is designed by combining the structural characteristics of the two-channel biorthogonal filter bank and adopting the time division multiplexing technology, the number of multipliers is effectively reduced through efficient multiplexing of a multi-phase structure and the multipliers, and the hardware resource overhead in FPGA implementation is remarkably reduced. On the premise that orthogonality and reconstruction precision of the filter bank are guaranteed, operation efficiency and data throughput capacity of the system are improved, and a feasible and efficient solution is provided for FPGA implementation of a high-performance and real-time signal processing system.

The invention relates to a transcranial electrical stimulation system and a storage medium, and the system comprises a neural signal sensing module which is configured to be used for collecting neural activity signals of the brain of a subject in real time; a transcranial alternating current stimulation module configured to apply transcranial alternating current stimulation to a target area of the brain of the subject; the real-time signal processing and control module is configured to be in communication connection with the neural signal sensing module and the transcranial alternating current stimulation module at the same time; the real-time signal processing and control module is configured to: receive a neural activity signal; extracting features of neural oscillation in a preset target frequency band from the neural activity signal in real time, wherein the features at least comprise an instantaneous phase; predicting a future phase of the neural oscillation based on the instantaneous phase, and generating a stimulation parameter in an anti-phase relationship with the future phase; and based on the stimulation parameters, controlling the transcranial alternating current stimulation module to apply adaptive transcranial alternating current stimulation to the target area of the brain of the patient.

The invention discloses a heterogeneous computing architecture for a nuclear radiation detection front end, which comprises a data acquisition unit, an FPGA (Field Programmable Gate Array) real-time signal processing unit, an MCU (Microprogrammed Control Unit) cognitive decision unit and a wireless communication and alarm unit which are in signal connection in sequence, a radiation detector of the data acquisition unit acquires a radiation signal; the FPGA real-time signal processing unit is used for preprocessing the radiation signal acquired by the data acquisition unit and adjusting the radiation detector according to the acquired radiation signal; and the MCU cognitive decision unit is used for obtaining an analysis result through a lightweight deep neural network model according to the received radiation signal, and controlling the wireless communication and alarm unit to execute corresponding actions. The micro-amp standby power consumption constraint is met, meanwhile, the contradiction between high-real-time digital pulse processing and high-precision energy spectrum long-term stability is solved, and the technical bottleneck that a complex intelligent algorithm is efficiently deployed on an MCU is solved.

The invention relates to the technical field of biomedical signal processing and artificial intelligence, and discloses a biomedical signal denoising method and system based on a double-branch state space model and phase perception. According to the method, a de-noising model based on a SpectroMama-UNet is constructed, a U-shaped framework is adopted, each layer is integrated with a SpectroMama module, and modeling is carried out on non-stationary signals through parallel time domain branches and phase sensing spectrum branches. The time domain branch captures signal time dynamic characteristics by using a bidirectional state space model; a phase sensing spectrum branch adopts a real and imaginary part splicing strategy, a real part and an imaginary part of a complex frequency spectrum are spliced in a channel dimension and jointly learned, phase information is explicitly reserved, and the problem of waveform drift of a traditional frequency domain method is solved. According to the method, the linear complexity of the state space model is used for replacing the secondary complexity of a traditional Transform, accurate removal of artifacts such as electro-oculogram and myoelectricity and high-fidelity reconstruction of signal waveforms are achieved, and the method is suitable for real-time signal processing of portable medical equipment.

The invention discloses a portable electrocardio skin conductivity bimodal emotion discrimination system, and belongs to the technical field of biomedical signal detection. Comprising a core control main board, a data analysis and evaluation module and a control module, wherein the core control main board is used for collecting electrocardio and skin conductance signals; the data analysis and evaluation module is used for processing the collected electrocardio and skin conductance signals and judging emotions; the data analysis and evaluation module is matched with the core control main board and controls the core control main board to collect the electrocardio and skin conductance signals; by the adoption of the system and a corresponding method, the system is simple in structure, small in size and integrated in design, meets the portable application requirement, supports real-time signal processing and diagnosis, is high in reliability and high in reliability, and can be applied to the field of wireless communication. The method is suitable for rapid and accurate emotion-related mental disease detection in a dynamic clinical environment.

The invention discloses an ultrahigh heart rate anomaly detection method based on real-time signal processing, and relates to the technical field of pet health monitoring. According to the ultrahigh heart rate anomaly detection method, local low-delay processing is achieved by fusing multi-modal physiological signals and utilizing edge calculation, signal preprocessing is conducted through band-pass filtering, self-adaptive Kalman filtering and the like, and the abnormal heart rate is obtained. Multi-time scale feature extraction is combined with pet state vectors to dynamically adjust feature weights, an improved attention mechanism neural network and support vector machine secondary classification and a posterior probability fusion algorithm are used to improve classification precision, and a dynamic threshold mechanism and a grading early warning mechanism are used to match response intensity according to abnormal duration, so that the classification accuracy is improved. According to the invention, accurate and real-time monitoring of the abnormal ultrahigh heart rate of the pet is realized, an efficient and reliable detection process is provided for health management of the pet, and the method has important significance for early detection of potential diseases of the pet.

The application discloses a kind of real-time systems of cross water surface multi-channel visible light communication based on FPGA, using FPGA as real-time signal processing unit, while processing signal transmission and reception.Integrating low-density parity-check (LDPC) codes from 5G new radio, the system significantly improves its detection capability for dynamic W2A-OWC scenarios.The system also optimizes the use of FPGA resources through time multiplexing of the IP core of the LDPC decoder.The system not only supports single-color light transmission, but also supports multi-color light transmission, covering LEDs of different wavelengths to meet various service needs and adapt to complex environments.Using a light source array as the transmitting end and a detector array as the receiving end, a multi-channel transmission and reception module is realized, which can improve the rate of the communication system, promote the simultaneous transmission of multiple data streams and improve the overall throughput.

The application discloses a digital source single-reception network vector analysis system, which comprises a real-time signal processor, a digital-analog converter, a transmitting mixer, a local oscillator, a directional coupler, a test transmitting port, a test receiving port, a coupler and a receiving port selection switch, a receiving mixer and an analog-digital converter; the real-time signal processor transmits a data signal to the transmitting mixer through the digital-analog converter, and then transmits the data signal to the test transmitting port through the directional coupler; the test receiving port transmits a received data signal through the coupler and the receiving port selection switch, and the coupler and the receiving port selection switch transmit the data signal to the real-time signal processor through the receiving mixer and the analog-digital converter. The application provides a digital source single-reception network vector analysis system which has the advantages of good stability, accurate test frequency, simple structure, convenient use and high practicability.

This invention discloses a real-time super-resolution method for millimeter-wave TDM-MIMO radar based on FPGA, applied in the field of radar imaging technology. Addressing the problems of high computational complexity and the inability of traditional hardware signal processing platforms to meet rapid computation requirements in existing technologies, this invention utilizes a high-speed interface to send acquired radar data to an FPGA board. The FPGA board parses and caches the radar data, preprocesses it, and sends the valid radar data. Hardware-optimized design is employed for radar data processing to recursively estimate intermediate variables. Auxiliary variables are iteratively updated based on the intermediate variables, and data variables are rapidly cached. This invention achieves rapid angle estimation through iterative updates using loop minimization. This invention overcomes the shortcomings of high algorithm complexity and difficulty in real-time signal processing in existing super-resolution DOA technologies, significantly improving the computational efficiency of the algorithm.

The invention discloses an RDMA-based phased array radio astronomical real-time data stream transmission processing method and system, and the method comprises the steps: S1, data receiving preparation: creating a queue pair of an original data packet type at a receiving end server through the RDMA, and constructing an annular receiving buffer area; s2, flow rule configuration and data capture: creating a flow filtering rule by using an InfiniBand flow control interface, directly writing a matched data flow into an annular receiving buffer area, and bypassing an operating system kernel protocol stack; s3, real-time signal processing: performing fast Fourier transform and spectrum accumulation processing on the extracted time domain signal to generate spectrum data; and S4, data persistent storage: transmitting the processed spectrum data to a host memory, and writing the spectrum data into a disk file in batches through a buffer mechanism. According to the invention, ultra-high-speed data transmission is realized by using zero copy of the RDMA and a kernel bypass mechanism, the end-to-end delay is reduced to a microsecond level, and the throughput, real-time performance and reliability of phased array radio astronomical observation data are remarkably improved.

Assistance device for improved electrode placement This invention relates to an assistance device (eg., user interface) and a method of assisting in placement of a pacing electrode in a target tissue area of a patient based on sensed electric signals, wherein a set of electrocardiogram (ECG) and / or electrogram (EGM) and / or accelerometer and / or bio-impedance (BioZ) signals is acquired in a concurrent manner, a real-time signal processing chain is applied to the acquired signals in order to maximize the signal to noise ratio, detect and extract individual beats (either spontaneous or stimulated), extract meaningful features from these individual beats and provide a quantitative, detailed morphological analysis, and then the evolution of these markers is displayed in real-time by means of "shadow plots" and accompanying extracted features.

An audio interface comprises a CPU (central processing unit) that includes a DSP (digital signal processor), a MIDI (musical instrument digital interface) processor, and two Voc FX (vocal effects) modules; MIDI IN, MIDI OUT, and MIDI HOST ports connected to the MIDI processor; first and second microphone ports connected to the first and second Voc FX modules, respectively; a plurality of OUTPUT ports connected to the DSP; and first and second HOST ports connected to the DSP; wherein the audio interface provides multi-host redundancy, real-time signal processing and MIDI control,

The invention discloses a heart rate calculation method and device and electronic equipment. The heart rate calculation method comprises the steps that electrocardiogram data of a current window are obtained; performing noise removal processing on the electrocardiogram data to obtain a first preprocessing sequence; performing R-wave enhancement processing on the first preprocessing sequence to obtain a second preprocessing sequence; performing peak detection on the second preprocessing sequence to obtain a peak index sequence; obtaining an R wave peak value sequence according to the peak value index sequence and the electrocardiogram data; removing the peak index corresponding to the pseudo peak from the peak index sequence to obtain a new peak index sequence; calculating an interval sequence; and calculating a current heart rate value according to the interval sequence. According to the method, the TEO energy operator and the real-time signal processing technology are comprehensively utilized, the accuracy and stability of heart rate detection are effectively improved, meanwhile, the operation complexity is reduced, and the method is more suitable for various practical application scenes.

The invention provides a flow analysis system signal baseline estimation method and system, equipment and a medium, all calculations are carried out in an FPGA (Field Programmable Gate Array) in parallel and finished in an assembly line without software delay, and the method and the system can be directly used for triggering subsequent real-time signal processing or cell sorting decisions; through the triple mechanisms of hardware pre-filtering, extreme value elimination and recursive smoothing, various noises are effectively inhibited, and the baseline estimation variance is significantly reduced; an adder, a comparator and a register are mainly used in the algorithm, a complex multiplication divider or a large number of storage units are not needed, FPGA resource occupation is small, and power consumption is low. The provided stable and accurate double-baseline value can be used as the estimation input of a noise covariance matrix in a weighted least square (WLS) spectrum unmixing algorithm, and the unmixing precision and the signal-to-noise ratio of multicolor fluorescence analysis are directly improved; due to pure digital hardware implementation, the method can be easily transplanted to different types of flow cytometers or other optical particle analysis equipment.

The invention belongs to an ultrasonic non-destructive testing technology, and particularly relates to a mechanical part damage type intelligent identification system based on acoustic characteristics, which comprises an ultrasonic excitation and receiving unit, a low-frequency pump vibration unit and a micro-thermal excitation unit, the system comprises an electromagnetic acoustic transducer, a piezoelectric array and air coupling receiving unit, a temperature, strain and acceleration acquisition unit, a clock and synchronization unit, a data acquisition and storage unit, a real-time signal processing and decision unit and a man-machine interaction and work order output unit. The system takes the ultrasonic excitation and receiving unit as a main clock to trigger the low-frequency pump vibration unit and the micro-thermal excitation unit to form a synchronous trigger sequence; the collected response is a three-dimensional fingerprint vector formed by calculating three types of slope invariants by a real-time signal processing and decision-making unit; carrying out fusion discrimination and reliability evaluation by combining the afterwave interference stretching coefficient and the time reversal focusing gain; and intelligent identification and release decision making are carried out on cracks, looseness and connection damage types of mechanical parts such as a telescopic boom under different postures and working conditions.

The application discloses a full-band GIS ultrahigh frequency partial discharge pulse non-loss collection system and belongs to the technical field of intelligent sensing of primary equipment. The system comprises a signal collection and conditioning module, a double-channel high-speed ADC module and a high-speed data processing and storage module. The signal collection and conditioning module is used for connecting an ultrahigh frequency sensor signal and performing filtering and amplification preprocessing on the signal. The double-channel high-speed ADC module comprises two independent and synchronous collection channels and is used for synchronously collecting the preprocessed signal in a full band. The high-speed data processing and storage module is used for controlling the alternate collection of the double channels, real-time linear compensation, trigger timing control and real-time signal processing. The intelligent analysis and control module is used for performing real-time analysis and fault diagnosis on the collected data and dynamically adjusting system parameters. The application adopts a double high-speed channel collection single signal and realizes a cooperative working mechanism of mutual backup, effectively avoids pulse loss caused by system processing delay, and improves the accuracy of partial discharge analysis and the intelligent level of equipment state sensing.

A portable, wearable system and method for real-time determination and modification of a patient's cardiac electromagnetic activity. The device has a sensor array with ECG electrodes, a controller executing software, a stimulator array with at least one electromagnet and one light-emitting diode, and a power supply, optionally integrated into a belt or chest harness. The system continuously acquires ECG signals, calculates a force momentum Bion (β) based on cardiac cycle parameters, and generates synchronized electromagnetic and optical stimulation in real time, modulating output according to the patient's heart activity. Safety features include detection of electrode contact, noise, and arrhythmia, with automatic blocking of stimulation and alert generation. The device further provides wireless communication for data transmission and remote monitoring, and supports amplitude- and frequency-modulated stimulation profiles. The method includes real-time signal processing, adaptive stimulation, and configurable alerts for cardiac anomalies, enabling noninvasive cardiac monitoring and intervention.

The invention relates to an automatic signal tracking device and a holder, and the device comprises N groups of antenna modules which are detachably connected with a control module through antenna contacts, and the signal processing module is used for processing signals in real time and controlling the N groups of antenna modules to adjust signal angles in the directions of a pitching angle and a yaw angle through the power module so as to realize automatic signal tracking, miniaturization can be realized, and antennas can be replaced.

The invention belongs to the technical field of magnetic nanoparticle imaging, and particularly relates to a magnetic nanoparticle imaging fundamental frequency signal compensation method based on an FPGA (Field Programmable Gate Array), which comprises the following steps: S1, sending an excitation signal to a power amplifier by the FPGA; the frequency of the excitation signal is between 1kHz and 100kHz; and S2, transmitting the signal to a transmitting coil by a power amplifier, generating an excitation field by the transmitting coil, receiving the signal by a first-order gradient meter, and carrying out passive compensation on the received feed-through signal. A feed-through signal is accurately counteracted through FPGA real-time calculation and inversion signal modulation, the high-efficiency calculation capability of the FPGA supports real-time signal processing and adapts to the change of an excitation magnetic field, the fundamental component of a particle signal is recovered through an iterative compensation process, the signal integrity is ensured, the hardware complexity is reduced through a digital method, and the calculation efficiency is improved. And the stability and repeatability of the system are improved.

The application discloses a real-time operating system starting time optimization method based on DSP, which comprises the following steps: dividing independent memory space, dividing an independent memory space in a compiling link script, and storing global uninitialized variables; specifying the position of the global uninitialized variables, storing the global uninitialized variables into the same data segment through pre-compilation; and optimizing the system starting flow, filtering out the global uninitialized variables defined in the application layer code in the system starting process, and skipping initialization. The application has the beneficial effects that the system starting flow is optimized, the global uninitialized data groups in the application layer code are filtered out, and the assignment operation on the data groups is skipped, so that the starting time is shortened, and the problem that the system starting time is prolonged due to the increasing application software caused by the demand for multi-function and multi-task of the embedded real-time signal processing system based on DSP is solved.

The application belongs to the technical field of controllable phase noise generation, and particularly relates to a self-defined phase noise adjusting method and system based on an IIR filter. The method comprises the following steps: S1, power collaborative allocation; S2, Gaussian white noise generation; S3, noise frequency response modeling based on the IIR filter; S4, noise shaping; S5, dynamic resampling adaptation; and S6, converting the digital domain noise vector signal into an analog radio frequency signal output through a vector modulator and a DAC. The application innovatively combines the noise frequency response precise modeling based on the IIR filter, the dynamic resampling adaptation mechanism, the noise shaping and the power collaborative allocation algorithm, realizes self-defined phase noise adding of the original signal, simulates the phase noise of an actual oscillation circuit, and has low power consumption and high data throughput capacity, thereby meeting the strict timing requirements of high-speed real-time signal processing, and being particularly suitable for real-time signal processing scenes.

This invention discloses an integrated radar detection and jamming signal generation and acquisition device and method based on RFSOC, belonging to the field of radar detection and jamming integration technology. This invention can flexibly control the sampling rate and mixing frequency to intercept the opponent's linear frequency modulated signal and transmit and acquire our integrated radar detection waveform signal. By estimating the parameters of the intercepted pulse, and generating and modulating the linear frequency modulated signal accordingly, a waveform signal with dual functions of detection and jamming is produced. A connection to a host computer is achieved via the UDP protocol, allowing users to issue configuration commands in real time and save radar echo data for real-time signal processing and subsequent analysis. By intercepting the opponent's signal and generating, transmitting, and acquiring the integrated radar detection waveform signal, the device possesses the dual functions of a radar detector and jammer, offering advantages such as high processing speed, high reliability, and high portability.