189 results about "Real time signal processing" patented technology

The invention discloses a method for estimating target arrival angle of a multiple input multiple output (MIMO) radar, which mainly solves the problem of large signal processing capacity in the target positioning process of MIMI radar. The method comprises the following steps of: 1) obtaining a virtual array of echo of each receiving antenna by a matched filter bank; 2) constructing a data conversion matrix and a dimension reduction array according to position of transmitting and receiving array; (3) reducing dimension of the virtual array data by the dimension reduction array to obtain an effective array after dimension reduction; 4) constructing two sub-arrays by rotational variance of effective array, and deriving covariance matrix of data; 5) decomposing eigenvalue of covariance matrix to obtain signal sub-spaces corresponding to two sub-arrays; 6) deriving rotational invariant relationship matrix by least square method to obtain arrival angle of target. The dimension reduction matrix form constructed by the method has versatility; the computation quantity is reduced by the dimension reduction of data and the ESPRIT (estimating signal parameter via rotational invariance techniques) algorithm; the computation speed of MIMO radar is increased; and the real-time signal processing of the MIMO radar is made easier.

A real-time signal processing engine robustly detects, localizes, tracks and classifies ground targets based on radar signals from a multistatic radar system. The system differentiates between different targets based on an optimized cost function, which can include the total returned normalized pulse energy. The local transmitters/receivers can communicate with each other via the transmitted radar signals.

Analog computational arrays for matrix-vector multiplication offer very large integration density and throughput as, for instance, needed for real-time signal processing in video. Despite the success of adaptive algorithms and architectures in reducing the effect of analog component mismatch and noise on system performance, the precision and repeatability of analog VLSI computation under process and environmental variations is inadequate for some applications. Digital implementation offers absolute precision limited only by wordlength, but at the cost of significantly larger silicon area and power dissipation compared with dedicated, fine-grain parallel analog implementation. The present invention comprises a hybrid analog and digital technology for fast and accurate computing of a product of a long vector (thousands of dimensions) with a large matrix (thousands of rows and columns). At the core of the externally digital architecture is a high-density, low-power analog array performing binary-binary partial matrix-vector multiplication. Digital multiplication of variable resolution is obtained with bit-serial inputs and bit-parallel storage of matrix elements, by combining quantized outputs from one or more rows of cells over time. Full digital resolution is maintained even with low-resolution analog-to-digital conversion, owing to random statistics in the analog summation of binary products. A random modulation scheme produces near-Bernoulli statistics even for highly correlated inputs. The approach has been validated by electronic prototypes achieving computational efficiency (number of computations per unit time using unit power) and integration density (number of computations per unit time on a unit chip area) each a factor of 100 to 10,000 higher than that of existing signal processors making the invention highly suitable for inexpensive micropower implementations of high-data-rate real-time signal processors.

The invention discloses a passive coherent location radar-based unmanned aerial vehicle real-time monitoring system and method. The system comprises a data receiving unit, a data transmission unit, a real-time signal processing unit and a terminal display and control unit; the data receiving unit is used for receiving reference signals of a transmitting source and monitoring signals reflected by an unmanned aerial vehicle and inputting the signals to the real-time signal processing unit through the data transmission unit; and the data are processed by the real-time signal processing unit, so that the flight path of the unmanned aerial vehicle can be obtained and is displayed in real time on the terminal display and control unit. The passive coherent location radar-based unmanned aerial vehicle real-time monitoring system and method of the invention do not need frequency allocation, generate no electromagnetic pollution and can perform monitoring around the clock. The passive coherent location radar-based unmanned aerial vehicle real-time monitoring system and method have the advantages of high data processing speed, high data update rate, real-time monitoring, low development and maintenance cost and strong networking capacity.

The invention discloses a transfusion monitoring device based on video images. The transfusion monitoring device based on the video images comprises a transfusion bottle monitoring probe, a drip bucket monitoring probe, a transfusion monitoring terminal, a signal wire, a network port, and a direct current converter; wherein the transfusion monitoring probe and the drip bucket monitoring probe are both connected with an embedded type system processor through the signal wire, a power supply input end of a transfusion monitoring terminal is communicated with a power supply through the direct current converter, and the transfusion monitoring terminal is connected with a nurse control table through the network port. The transfusion monitoring device based on the video images applies the monitoring probe to acquire the video images of a transfusion bottle portion and a drip bucket portion, utilizes the embedded type system to start real-time signal process for the images of the two portions, acquires the dropping speed of transfusion and surplus liquid medicine information, sends out alerts of too fast transfusion, too slow transfusion and finishing transfusion based on a preset threshold. The transfusion monitoring device based on the video images applies a non-interference scheme, can be monitored for 24 hours, is free of particular requirements for transfusion devices, and is free of interfering a traditional manual monitoring. The transfusion monitoring device based on the video images has the advantages of being convenient and flexible to install and capable of greatly reducing labor intensity.

The invention provides a multi-target data fusion method and system based on a hydroacoustic sensor network. The multi-target data fusion method comprises the following steps: (101) arranging a plurality of collecting nodes of the hydroacoustic sensor network in an observation area, arranging N collecting nodes in a water area, obtaining the azimuth information of a plurality of target elements, and transmitting the obtained azimuth information of the target elements to a main node, the N collecting nodes adopts line array hydrophones or vector hydrophones as detection parts, and the detection parts can process signals in real time, and the azimuth information of the target elements is observed by each collecting node in the observation area; and (102) fusing the data of the azimuth information of the target elements by the main node: associating data by the main node according to the azimuth information of the target elements and the information data of the targets stored in the main node by adopting the data associating strategy, and tracking and positioning the multiple targets to finish the track initiating, maintaining and deleting of the multiple targets.

Hardware and software techniques for interrupt detection and response in a scalable pipelined array processor environment are described. Utilizing these techniques, a sequential program execution model with interrupts can be maintained in a highly parallel scalable pipelined array processing containing multiple processing elements (PEs) and distributed memories and register files. When an interrupt occurs, interface signals are provided to all PEs to support independent interrupt operations in each PE dependent upon the local PE instruction sequence prior to the interrupt. Processing/element exception interrupts are supported and low latency interrupt processing is also provided for embedded systems where real time signal processing is required. Further, a hierarchical interrupt structure is used allowing a generalized debug approach using debug interrupts and a dynamic debuts monitor mechanism.

A real-time signal processing technique for ultrasonic imaging of tissue vibrations for localizing the source of a bruit in a 2D image with respect to the anatomy and/or for obtaining simultaneous information about vibrations and the underlying blood flow. The bruit can be quantitatively assessed using an ensemble of ultrasound echoes. Signal processing enables estimation of wall displacement and the display of time-resolved vibration spectrum. Vibrations are detected and color-coded according to their amplitude and frequency and overlaid on the B-mode and/or color-flow image in real time. Proposed vibration imaging algorithms use data acquired during conventional ultrasonic color-flow imaging and the clutter signal, normally suppressed in color-flow imaging, to detect and characterize tissue vibrations. Three vibration imaging algorithms based on parametric modeling of vibrations and other criteria distinguish between clutter, blood flow, and vibrations. The techniques are usable to detect, locate, image, and quantitatively grade stenoses in blood vessels.

A new signal processor technique and apparatus combining microprocessor technology with switch fabric telecommunication technology to achieve a programmable processor architecture wherein the processor and the connections among its functional blocks are configured by software for each specific application by communication through a switch fabric in a dynamic, parallel and flexible fashion to achieve a reconfigurable pipeline, wherein the length of the pipeline stages and the order of the stages varies from time to time and from application to application, admirably handling the explosion of varieties of diverse signal processing needs in single devices such as handsets, set-top boxes and the like with unprecedented performance, cost and power savings, and with full application flexibility.

The invention discloses a missile-borne SAR imaging real-time signal processing system. The system includes an A / D acquisition module, an FPGA (field programmable gate array) main control module, a DSP (digital signal processor) imaging module, a DSP tracking module, an upper computer interface module, and a servo interface module. The A / D acquisition module carries out an analog to digital conversion of radar echo; the FPGA main control module is used for data preprocessing, and for controlling and coordinating work of other modules; the DSP imaging module is used for receiving preprocessed data, carrying out imaging processing of the preprocessed data, and sending a process result to the FPGA main control module; the DSP tracking module is used for receiving the preprocessed data, carrying out an angle measurement tracking process, and sending a process result to the FPGA main control module; the upper computer module is used an internal system debugging of a laboratory; the servo interface module is used for sending missile body status information to the FPGA module and receiving a control command from the FPGA module at the same time, so as to control the missile body. The system of the invention has advantages of a small size, low power consumption, high reliability, and excellent function and the like, and is especially suitable for the high speed aircraft guidance field and other fields.

The invention relates to a data transmission method, in particular to a real-time data transmission method in which the data of a plurality of asynchronous data sources is buffered through single-interrupt data transmission equipment based on an FPGA (Field Programmable Gate Array) and then sent to an upper computer, belonging to the technical field of real-time signal processing. The real-time data transmission method comprises the following steps of: firstly selecting an appropriate interrupt cycle according to a conditional inequality of data transmission without data loss; then establishing data buffers in the FPGA, and establishing writing state registers of the data buffers; and then generating a cyclic interrupt signal according to half full and full signals sent by the data buffers, wherein the upper computer triggers an interrupt service routine by responding to the cyclic interrupt signal so as to achieve the purpose of real-time continuous transmission. Compared with a multi-interrupt source trigger mode, the real-time data transmission method reduces the programming and debugging complexity of software and hardware and enhances the reliability of a system; in addition, the magnitude of data quantity generated by each interrupt is relatively stable, therefore the data is more convenient for intensive batch transmission and post processing.

The invention provides a method for realizing the equalization of an FBMC system by utilizing improved sphere decoding algorithm, which comprises the following steps: by setting up an FBMC system model, and defining FBMC system parameters, analyzing the main factors of the equalization algorithm performance affecting the FBMC system; carrying out the improved sphere decoding algorithm; and carrying out simulation experiments for the algorithm and comparing; and analyzing simulation results. The improved sphere decoding algorithm means that the equalization of the FBMC system can be realized by lowering the complexity of the sphere decoding algorithm, and comprises the following steps: defining the equalization of the FBMC system; and realizing the equalization of the FBMC system by the method of probability estimate of d'2-LB (k-1) >= | | zk: M-Rk: M, K: Mbk: M | | 2 to lower the complexity of the sphere decoding algorithm. The invention utilizes the improved decoding algorithm to lower the bit error rate and the complexity of equalization algorithm of the FBMC system, and carries out verification by the simulation experiments, and the simulation results show that the improved decoding algorithm obviously lowers the complexity of the algorithm, has less loss of performance, has higher superiority and better meets the requirements of modern communications for real-time signal processing particularly when the signal to noise ratio is smaller, and has good prospects for development.

This invention relates to continuous casting dross detection method and device based on vibration detection. On section if the end of motion arm far away the long nozzle, assemble multiple vibration sensors with different directions to collect vibration signals of different directions; form sampled signal after amplifying, filtering, sampling and A/D transform; take off-line process for the ,mass collected signals to form norm eigen vector; use effective vector quantization algorithm to train codebook corresponding to all states used as codebook KB of all casting states when recognizing on line; by wavelet analysis method, obtain eigen vector of sampled signals; through the search and calculation for code word, decide which codebook that current state belongs to and give dross information. The advantage of this invention is that it needs just to set multiple vibration sensors on motion arm and treat the signal real time, and needs no other auxiliary device.

The invention discloses a target high-definition Doppler information reconstruction method of a frequency-agile radar based on a sparse reconstruction algorithm, and mainly solves the problem that a traditional signal phase-coherent accumulation method cannot be used to extract the target Doppler information from a radar in the frequency agile system. The method comprises that distance compensation is carried out on echoes by means of a distance compensation matrix and a dictionary matrix; a compensated echo signal is correlated to the dictionary matrix, optimal compensation is searched for, high-definition distance of the target is obtained, and the dimension of the signal is reduced; and high-definition Doppler information reconstruction is carried out on the compensated signal by meansof an orthogonal matching and tracking algorithm. Compared with a present method, the target characteristic is reconstructed in higher precision and stability, the calculating speed and signal processing instantaneity in the reconstruction process are improved, and the method can be used to fields including design of a real-time radar signal processing system, radar anti-interference and electronic reconnoitering and confrontation.

The invention discloses an FPGA-based inter-channel amplitude and phase error characteristic frequency domain windowing estimation method. The problem of reduced inter-channel coherence, which is caused by inconsistent amplitude and phase characteristics of multiple channels of the existing radar system, is solved. The method comprises the steps that (1) channel data are input; (2) time-frequency conversion is carried out on channel signals; (3) spectrum alignment is carried out on the spectrums of the channel signals; (4) FFT conversion is carried out on a spectrum alignment result; (5) windowing is carried out on the FFT conversion result of spectrum alignment; (6) and inverse FFT operation is carried out the windowed data to acquire inter-channel amplitude and phase error characteristic estimation. According to the invention, fast and efficient functions of FFT time-frequency conversion and time sequence logic control of FPGA are fully used; a high-quality amplitude and phase error characteristic estimation result can be acquired under the condition of large spurious noise; the influence of spurious noise on the estimation result is reduced; and the method can be applied to a two-channel and/or multi-channel radar real-time signal processing system.

The invention relates to a noise suppression method for superconducting transient electromagnetic application. The noise suppression method is characterized in that the EMD method and the environment magnetic field reference measurement method are combined, and comprises the steps that firstly, a TEM receiving system and an environment magnetic field reference measurement system are established, a TEM signal and an environment magnetic field signal are measured respectively, and high-frequency noise filtering treatment is carried out on the TEM signal and the environment magnetic field signal through an EMD module; then, low-frequency interference related to the environment reference part is removed from the received signals; finally, a needed TEM signal is obtained. By means of the method, both high-frequency noise and low-frequency noise can be effectively suppressed; furthermore, due to real-time signal processing carried by a DSP module, the effects of improving the signal processing speed and saving the memory space of a system can be easily achieved, the application of the system is greatly promoted, and the measurement accuracy of the system is effectively improved.

The invention discloses a furnace hearth flame detecting method based on an intelligent-control computer vision technology. The furnace hearth flame detecting method comprises the following steps of: using a CCD (Charge Coupled Device) camera to take a picture for furnace hearth flame by an optical fibre image sensor, and transmitting the taken image information signal to a real-time signal processor; using a wavelet packet arithmetic to perform de-noising processing to the signal of the image information in the real-time signal processor; and using a BP (Back Propagation) neural network module to detect and distinguish the de-noised image information. The computer vision technology based on the wavelet packet and the BP neural network is applied to the image information analysis and treatment of the power plant furnace hearth flame, so that the intelligent treatment of the power plant furnace hearth flame information can be achieved, and the signal noises in background flame can be effectively removed to acquire a more real and accurate signal; the combustion condition of each combustor can be relatively grasped in a quantitative manner to keep the best combustion condition of a boiler, so that the safe and high-efficient operation of the device is achieved.

The invention discloses an injection type simulation system for an infrared digital image based on USB3.0 and a method thereof. The injection type simulation system is mainly used for supplying a simulation environment to a real-time signal processing platform for an infrared image. The injection type simulation system comprises a host computer with a USB3.0 interface and an injection type simulator for the infrared digital image, wherein the injection type simulator further comprises a USB3.0 controller chip, an FPGA (Field Programmable Gate Array), a DDR2SDRAM and a peripheral equipment interface. An injection type simulation method for the system comprises the following steps: 1) configuring the USB3.0 controller chip into a Slave FIFO mode and establishing a DMA (Direct Memory Access) transmission channel; 2) utilizing an image data receiving module established in the FPGA to read data from the Slave FIFO; 3) utilizing an image data caching module established in the FPGA to read and write DDR2SDRAM, so as to realize the caching of the data; 4) utilizing three different interface modes to send the data to a rear-stage platform. The injection type simulation system provided by the invention has the advantages that the latest USB3.0 protocol is adopted, the data transfer rate is high, the instantaneity is excellent and the portability is strong.

The invention discloses a human body intelligent recognition method and a system based on a distributed layout pyroelectric infrared detector. The recognition system consists of layout distributed detectors in a monitoring site and a detector host which transfer information through a wireless communication. The method is to use the detectors to perform a real-time signal process to a detected region; to extract an event window, perform extractions of a time domain feature and a frequency domain feature from signals in the event window, transmit the extracted features to the detector host through the wireless communication, uses the detector host to perform a fusion of a feature-level fusion for information of each detector, and determines whether or not an identifying object is a human body through an algorithm of principal component regression. The human body intelligent recognition method is combined with an information fusion technology of distributed layout detectors and a pattern recognition technology, and can effectively reduce effects of external environment and other creatures on a monitoring system and reduce the probability of misrecognition for a passive pyroelectric infrared detector.