57 results about "Microwave imaging" patented technology

The invention discloses a working temperature control method of a Josephson probe and a method for regulating and controlling the thickness of an Nb film, the working temperature of the Nb-based probe is increased to 7.2 K by regulating and controlling the film thickness parameter and controlling the working temperature of the probe, and the highest record of similar probes is created. According to the method for regulating and controlling the thickness of the Nb film, a four-groove quartz tube is selected as a substrate, and after ultrasonic cleaning, a nano needle tip is drawn by adopting a laser heating method, so that a needle tip structure with a clean surface and a controllable geometric structure is obtained; and horizontally fixing the prepared nano needle tip on a probe bracket, depositing a niobium film by adopting a magnetron sputtering process, and controlling the thickness of the Nb film to prepare the Josephson probe. According to the invention, the dependence of the probe on an extremely low temperature environment is obviously reduced, the limitation of the original process is broken, the available film thickness range is effectively widened, the preparation yield and the performance consistency of the probe are obviously improved, and a reliable device basis is provided for the practical development of near-field microwave imaging and quantum sensing technologies.

This application discloses an imaging method, apparatus, storage medium, and electronic device. The method includes: transmitting pulse signals to an object to be imaged from multiple transmission positions, and converting the received multiple target echo pulse signals into corresponding multiple complex signals; acquiring the round-trip time of the pulse signal transmitted from each transmission position to each of the multiple imaging positions corresponding to the object to be imaged, thus obtaining multiple round-trip times corresponding to each imaging position; performing coherent accumulation processing on the multiple complex signals based on the multiple round-trip times corresponding to each imaging position, thus obtaining accumulated data corresponding to each imaging position; and performing imaging processing on the object to be imaged based on the accumulated data corresponding to each imaging position to obtain an image. This application can realize microwave imaging.

A microwave imaging radar sensor for creating an image of at least a part of its surrounding space includes at least one transmitter unit, a receiver unit and an evaluation unit having an output port to output an image connected to the transmitter and receiver units. The image has fields related to a pair of a transmit channel and a receive channel, where at least two transmit channels and at least two receive channels each correspond to a fan shaped beam having a first dimension (D1) which is significantly larger than and perpendicular to a second dimension (D2). The field is assigned to a radar result characteristic (RC) provided by the receive channel whose fan shaped receive beam overlaps with the fan shaped transmit beam of the transmit channel defining an overlap area. The transmit channel correlates with the transmitter unit, which comprises a refractive beamformer having a transmit reference plane to which the fan shaped transmit beams of the transmit channels are perpendicular with their first dimension (D1). The transmitter unit embodies transmit transition structures associated with the refractive beamformer at different transition positions, so that each transmit channel is related to at least one transmit transition structure. The receive channel correlates with the receiver unit that has a refractive beamformer having a receive reference plane to which the fan shaped receive beams of the receive channels are perpendicular with their first dimension (D1). The receiver unit includes receive transition structures associated with the refractive beamformer at different transition positions, so that each receive channel is related to at least one receive transition structure.

The invention relates to the technical field of space imaging, and provides a space target space-based microwave imaging system design method and device. The method comprises the following steps: firstly, determining an intersection process of an observation satellite and a space target based on an orbit dynamics simulation method, and further determining an imaging observation window; determining beam scanning geometry by combining relative motion characteristics of an observation satellite and a space target in the imaging observation window and the maximum scanning capability of the phased-array antenna, and generating a beam scanning strategy; secondly, realizing accurate capturing and locking of a wave beam by optimizing an orbit forecast error of a space target; and finally, according to the beam scanning strategy and the optimized orbit parameters of the space target, high-precision imaging of the space target is realized in combination with a synthetic aperture imaging algorithm and error compensation, double-high-speed motion imaging feasible position determination can be realized, a stable and efficient phased array beam scanning strategy is constructed, and the imaging accuracy is improved. High-precision beam pointing of a non-cooperative target is realized, and the precision and reliability of space target imaging are improved.

This invention relates to the field of microwave imaging technology and discloses a nonlinear depth-sensing microwave imaging method and system. The method transmits microwave signals to the area to be imaged via a transmitting antenna and receives the corresponding high-dimensional echo signals via a receiving antenna array. Then, a pre-defined target nonlinear depth-sensing sub-network adaptively compresses the high-dimensional echo signals into optimal low-dimensional nonlinear measurement values; the dimension of the low-dimensional nonlinear measurement values ​​is smaller than the dimension of the high-dimensional echo signals. Finally, a pre-defined target physical embedding reconstruction sub-network performs nonlinear inverse scattering on the low-dimensional nonlinear measurement values ​​to obtain a high-resolution image of the area to be imaged. By combining the advantages of physical laws and deep learning through the target nonlinear depth-sensing sub-network and the target physical embedding reconstruction sub-network, this method not only possesses strong generalization ability and is applicable to various practical application scenarios, but also can handle microwave imaging tasks in complex scenarios, achieving high-resolution imaging.

This application relates to the field of space imaging technology and provides a method for decoupling translational and rotational motion in space-based microwave imaging of space targets based on parameter estimation. The method first uses adjacent cross-correlation and self-focusing methods to perform preliminary compensation for the translational motion components of the microwave imaging echo data. Then, using the first-order translational motion parameters fitted by the former as initial values ​​and minimizing the image entropy of the echo data as the cost function, it combines Keystone transform to optimize and compensate for the translational linear phase components. Next, it uses Keystone transform to compensate for the spatially varied range cell migration caused by the rotational motion components. Finally, it performs a second compensation for the residual translational motion components, obtaining echo data after almost complete compensation of the translational and rotational MTRC. By performing spatially varied phase error compensation and azimuth compression on this data, the imaging result of the space target can be obtained. This method achieves a balance between the efficiency and accuracy of parameter estimation, effectively improving imaging quality.

The application discloses a super-structure surface based on a multi-unit periodic array distribution, the super-structure surface is mainly formed by a plurality of micro-structure units arranged periodically, each micro-structure unit comprises a sub-unit A1, a sub-unit B1, a sub-unit A2 and a sub-unit B2, wherein the sub-unit A1 and the sub-unit A2 are in a central symmetric structure, and the sub-unit B1 and the sub-unit B2 are in a central symmetric structure; a wave absorber formed by the super-structure surface comprises a plurality of periodically arranged wave absorption units, each wave absorption unit comprises, from bottom to top, a conductive reflection layer, a medium interlayer, a micro-structure unit layer and a medium top layer; the wave absorber can realize more than 90% electromagnetic wave absorption rate on a frequency band of 8.31-41.75 GHz, and ensures no electromagnetic wave transmission, so that most of electromagnetic wave energy entering the wave absorber is lost under the action of medium loss and ohmic loss; meanwhile, the wave absorber has the characteristics of flexibility, easy preparation, good wave absorption effect and facilitation of integration, and is suitable for technical fields of electromagnetic shielding and microwave imaging.

The invention relates to the technical field of space imaging, and provides a space target space-based microwave imaging parameter optimization method and device. According to the method, through predicting a target intersection section of a detection satellite and a space target, an average relative speed, a minimum intersection distance and an orbit prediction error component of the detection satellite and the space target are extracted from the target intersection section; determining the optimized detection time length and the optimized detection frequency of the detection satellite at least based on the minimum intersection distance and the orbit forecast error component, and determining the optimized imaging time length of the detection satellite at least based on the average relative speed and the minimum intersection distance, and multi-constraint cooperative solution is carried out on the pulse repetition frequency PRF of the detection satellite at least based on the average relative speed and the minimum intersection distance to obtain the optimized PRF, microwave imaging parameter optimization design of quantitative model and actual scene constraint is realized, the efficiency is high, the application scene is wide, and the method is suitable for large-scale popularization and application. And powerful support is provided for precision improvement and engineering landing of a space-based microwave imaging technology.

The invention discloses an in-orbit calibration method for correcting self-radiation of a heat mirror of a microwave imager based on reference radiation. The method comprises the following steps: calculating an included angle between the heat mirror of the microwave imager and the sun; calculating the earth observation brightness temperature of the microwave imager; calculating the observed brightness temperature of the reference microwave radiometer; simulation brightness temperature of the reference microwave radiometer and the microwave imager is obtained based on radiation transmission model simulation; calculating an observation brightness temperature deviation and a simulation brightness temperature deviation, and calculating a system error between the reference microwave radiometer and the microwave imager; based on the system error, the included angle between the microwave imager heat mirror and the sun is adopted for function relation fitting, and the heat mirror self-radiation brightness temperature of the reference microwave radiometer is calculated; the included angle between the microwave imager heat mirror and the sun is calculated on orbit in real time, and the earth observation brightness temperature of the microwave imager is corrected based on the self-radiation brightness temperature of the heat mirror. The self-radiation of the heat mirror is solved in real time by taking double deviations of observation brightness temperature and simulation brightness temperature as constraints, and the problem that the temperature of the heat mirror of the microwave imager cannot be actually measured in orbit is solved.

The application discloses a low cross-polarization Vivaldi antenna and belongs to the technical field of electromagnetic fields and antennas. The low cross-polarization Vivaldi antenna comprises a dielectric substrate, a pair of radiation arms and a balanced radiation arm are arranged on the dielectric substrate, and the pair of radiation arms and the balanced radiation arm are oppositely arranged. Metal through holes are formed in the dielectric substrate, and the pair of radiation arms and the balanced radiation arm are electrically connected through the metal through holes. A dielectric director is arranged on one side of the dielectric substrate, and a reflecting floor is arranged on the other side of the dielectric substrate. The dielectric director is used for adjusting the phase difference of electromagnetic waves at the opening of the Vivaldi antenna. The reflecting floor is used for improving the front-to-back ratio of electromagnetic waves. Electromagnetic waves are radiated from the reflecting floor to the direction of the dielectric director. The application further reduces the cross-polarization level of the Vivaldi antenna and can be applied to the fields of satellite communication, ground penetrating radar, microwave imaging and UWB ultra-wideband communication.

The application relates to the technical field of space imaging, and provides a space target space-based microwave imaging system design method and device. The method firstly determines the intersection course of an observation satellite and a space target based on an orbit dynamics simulation method, and then determines an imaging observation window; then, the relative motion characteristics of the observation satellite and the space target in the imaging observation window and the maximum scanning capability of a phased array antenna are combined to determine a beam scanning geometry and generate a beam scanning strategy; next, precise acquisition and locking of the beam are realized by optimizing the orbit prediction error of the space target; finally, high-precision imaging of the space target is realized by combining a synthetic aperture imaging algorithm and error compensation according to the beam scanning strategy and the optimized orbit parameters of the space target, double high-speed motion imaging feasible position determination is realized, a stable and efficient phased array beam scanning strategy is constructed, high-precision beam pointing of a non-cooperative target is realized, and the precision and reliability of space target imaging are improved.

The usage of microwave imaging for biomedical (BMWI) applications is still challenging due to the imprecise reconstruction of the relative permittivity of tissues and the ill-posed inverse scattering problem. Anomaly detection in biological tissues demand in-vivo, non-invasive, and non-contact measurements. Considering and proving the anomaly as a point object in the microwave imaging is erroneous and results in false implications about the anomaly's presence, location, and characteristics. Present disclosure provides systems and methods for anomaly detection in biological tissues. An intensity map of target region is generated to detect tumor. Area around the tumor is processed to obtain a refined image. As the tumor is embedded in tissues of higher dielectric constant, image thus formed is larger in size than actual tumor. An iterative numerical computation method is implemented to estimate relative permittivity. Subsequently, the effective size of the anomaly is approximately estimated, which is close to their actual values.

The invention relates to a wearable breast cancer intelligent screening system which comprises a wearable detection unit which is symmetrically designed on two sides, senses resistance change under the action of external force or pressure through an integrated flexible sensing film, collects voltage through a sampling chip, calculates resistance and sends the resistance to a main control processing unit; the main control processing unit obtains the resistance data, controls transmitting and receiving antenna pairs in the antenna array and measures S21 parameters of the transmitting and receiving antenna pairs; and the PC generates a mammary gland internal dielectric characteristic image without deformation errors through various algorithms, and screens the breast cancer according to the image. According to the method, the flexible sensing technology and the microwave imaging technology are deeply fused, so that real-time sensing and self-adaptive correction of the geometric attitude of the antenna array are realized, and the accuracy and repeatability of a detection result are ensured.

The invention belongs to the technical field of medical rehabilitation assessment, and provides a urinary surgery postoperative wound rehabilitation assessment method based on artificial intelligence, electronic equipment and a storage medium. The method comprises the steps of multi-source data acquisition, data preprocessing, spatial alignment, normalization processing, three-branch network feature extraction, feature integration, feature compression, feature mapping and wound rehabilitation grade matching. Through three-mode objective data of microwave imaging, electrical impedance imaging and bioelectrical impedance, the whole data acquisition process is free of invasion and interference, and errors caused by individual differences are reduced; through a three-branch feature extraction network and a deep fusion process, different types of data characteristics are adapted, cross-modal information complementation is realized, and wound rehabilitation multi-dimensional key signals are captured.

This invention relates to a miniature dual-frequency microwave anechoic chamber based on spatially distributed ultrathin absorbing materials. It includes a rigid cylindrical shell mounted on a support. An ultrathin dual-frequency electromagnetic wave absorbing unit and a transmitting antenna are attached to the inner wall of the rigid cylindrical shell. The ultrathin dual-frequency electromagnetic wave absorbing unit and the transmitting antenna are integrally formed, and the transmitting antenna is a microstrip patch antenna. This invention, through research on spatially distributed ultrathin electromagnetic wave absorbing materials, realizes a wavelength-scale miniature dual-frequency microwave anechoic chamber. The shape and size of the microwave anechoic chamber can be customized according to actual application requirements, and it is expected to be widely used in antenna measurement, microwave imaging, and other fields. This invention features low cost, simple construction, and portability.

There is a need to address the problem of compressed scanning in SAR acquisitions for microwave imaging. Embodiments of the present disclosure provide microwave imaging with multiple-input and multiple-output synthetic aperture radar using compressed multi-coset range migration technique. The present disclosure reduces the SAR acquisition time by compressed scanning, where a compressed scanning acquisition setup captures radar measurements to obtain a microwave image of a target scene by intermittently skipping blocks during SAR acquisition. Further, reconstruction of a microwave image of a target scene is performed using 2D Fourier Transform (FT) of the radar measurements based on a multi-coset range-migration framework. The multi-coset range migration framework makes use of intermittent scanning and formulates a compressed sensing-based architecture by leveraging block-sparsity constraints. Subsequently, a denoising convolutional neural network (DnCNN) is used to enhance and denoise the reconstructed microwave image to obtain a high-resolution image of the target scene.

The embodiment of the invention provides a microwave hyperthermia device for noninvasive measurement of tumor body temperature, and the device comprises a solid-state microwave source, and the bottom of one end of the solid-state microwave source is provided with a connector in an embedded manner; the microwave conduction device is fixedly installed in the connector, a treatment application device is installed at the bottom end of the microwave conduction device, and the treatment application device is connected with the solid-state microwave source through the microwave conduction device and the connector; the detection frame is fixedly mounted on one side of the solid-state microwave source, a plurality of microwave imaging devices are mounted in the detection frame, each microwave imaging device comprises a mounting seat, a microwave emission head and a receiving probe, the mounting seat is fixedly mounted in the detection frame, the microwave emission head is mounted at one end of the mounting seat in an embedded manner, and the receiving probe is mounted at the other end of the mounting seat. The microwave imaging device is adopted to carry out non-contact imaging scanning and temperature measurement on a focus, temperature distribution data images of the surface and the interior of a tumor are directly obtained, and accurate tumor positioning is achieved by fusing the temperature distribution data images with CT and nuclear magnetic resonance examination results.

This invention relates to the field of microwave power imaging technology, specifically to a power imaging method for high-power microwaves based on solid-state quantum spin. To address the problem of existing technologies' difficulty in achieving power imaging of high-power microwaves based on solid-state quantum spin, this invention provides a novel power imaging method for high-power microwaves based on solid-state quantum spin, comprising the following steps: 1) introducing local homologous microwaves; 2) obtaining correlated microwaves; 3) obtaining ODMR curves; 4) calculating the correlated microwave power; 5) inversely calculating the power of the microwave to be measured to obtain an image of the power of the microwave to be measured. The imaging method of this invention reduces microwave power by introducing correlated microwaves, effectively controlling the saturation effect of the full width at half maximum (FWHM) of the ODMR curve resonance peak caused by excessively high microwave power during fixed quantum spin microwave imaging detection, thereby achieving power imaging of high-power microwaves based on solid-state quantum spin.

The invention discloses a laser and microwave data receiving and processing system based on real-time perception, particularly relates to the technical field of traffic control, and comprises a laser data acquisition module, a microwave data acquisition module, a multi-source data fusion processing module and a real-time decision output module. The laser module dynamically matches a target motion state through a self-adaptive scanning frequency control unit, and generates anti-interference laser point cloud data; the microwave module receives the reflection signal and generates microwave imaging data; the fusion module adopts a space-time alignment convolution layer to extract laser motion features, applies a motion compensation attention mechanism to analyze microwave scattering characteristics, and fuses the features through a cross attention mechanism to generate a unified matrix; and the decision module analyzes the matrix through the FPGA and outputs a control instruction or an early warning signal according to a preset threshold value. According to the system, advantage complementation of laser and microwave data is realized, and the sensing precision and the response speed of a dynamic target in a complex environment are remarkably improved.

The application discloses a one-station fixed dual-station SAR sparse imaging method based on a back-projection operator, and comprises the following steps: constructing a one-station fixed dual-station SAR imaging geometric model and designing a BP imaging processing flow; constructing a sparse SAR imaging model based on the SAR imaging geometric model and the BP imaging processing flow; designing an echo simulation operator required by the sparse SAR imaging model based on the BP imaging processing flow; and realizing sparse reconstruction of an observation scene through iteration recovery based on the sparse SAR imaging model and the echo simulation operator, and outputting a reconstructed image. The application solves the two-dimensional space variability problem of dual-station data, realizes high-precision imaging processing by utilizing the characteristic that the BP algorithm does not have any approximate processing, combines dual-station SAR imaging with sparse imaging, realizes sparse microwave imaging reconstruction without approximate observation, improves the quality of an image, provides a new idea for dual-station SAR imaging, and can realize accurate imaging of dual-station data.

This invention relates to a microwave imaging method integrating Born iteration and compressed sensing, comprising: establishing a two-dimensional electromagnetic inverse scattering integral equation model, discretizing the imaging region, setting iteration and prior parameters, and initializing the contrast and total field as background values ​​and incident fields, respectively; based on the total field of the previous iteration, constructing linearized scattering equations for multiple incident angles, defining single-view inversion as an independent task, and integrating them into a multi-task set sharing sparse priors; employing the MT-BCS algorithm to jointly solve the observation equations using shared hyperparameters, and outputting the updated contrast distribution; solving the state equation based on the new contrast to complete the total field update; outputting the imaging result if the convergence condition or the maximum number of iterations is met; otherwise, continuing iteration. This invention applies joint sparsity constraints through a multi-task joint inference mechanism, mining the geometric structure consistency of multi-view data, and overcoming the shortcomings of traditional single-task methods such as low signal-to-noise ratio, low reconstruction accuracy when measurement data is limited, and severe artifacts.

The present application relates to a kind of portable dual-frequency microwave imaging darkroom, including hard cylindrical shell, hard cylindrical shell is installed on support, the geometric center of hard cylindrical shell is provided object to be measured, object to be measured is placed on two-dimensional rotating platform, double-frequency electromagnetic wave absorption unit is attached on the inner wall of hard cylindrical shell, double-frequency electromagnetic wave absorption unit, transmitting antenna and multiple receiving antennas are integrally formed, the transmitting antenna and receiving antenna are all using microstrip patch antenna, and radio frequency switch network controls the opening and shutdown of multiple receiving antennas.The present application uses ultrathin double-frequency electromagnetic wave absorption unit, can simultaneously realize near perfect absorption effect to electromagnetic wave from normal incidence direction and oblique incidence direction, and further constructs portable dual-frequency microwave imaging darkroom;With the help of the dual-frequency microwave imaging darkroom constructed, microwave imaging experiment based on inverse scattering principle can be measured on site, and is expected to be widely used in practical engineering application scenarios.

A medical imaging system and method for detecting temporal changes in biological tissue through coherent change detection of complex-valued microwave signals. Unlike conventional microwave imaging systems that acquire single-timepoint data, the disclosed system maintains phase coherence between temporally separated measurements using dedicated real-time calibration channels that continuously monitor and correct phase drift in the signal path, as well as physical and algorithmic registration and compensation methods. The system acquires magnitude and phase backscatter data from tissue at multiple timepoints, applies spatial registration to compensate for patient repositioning, and computes coherent differences from the registered complex data to detect changes in tissue dielectric and conductivity properties below the spatial resolution limit of single-timepoint imaging. The coherent change detection method enables identification of tissue changes and growth with sensitivity exceeding conventional temporal subtraction techniques. Applications include breast cancer screening and monitoring, intracranial hemorrhage detection, and lung cancer screening and monitoring.

The present invention relates to an artificial intelligence-based, wearable microwave imaging system for detecting tibia fractures, wherein the system is provided as an artificial-based, non-ionizing, cost-effective, portable, and non-invasive imaging system for initial fracture screening and routine monitoring in the medical field across various environments requiring fracture imaging, including hospitals, ambulances, field environments, and military applications.

The application discloses a laser and microwave data receiving and processing system based on real-time sensing, and particularly relates to the technical field of traffic control, comprising a laser data acquisition module, a microwave data acquisition module, a multi-source data fusion processing module and a real-time decision output module. The laser module dynamically matches the target motion state through an adaptive scanning frequency control unit to generate anti-interference laser point cloud data; the microwave module receives reflected signals and generates microwave imaging data; the fusion module extracts laser motion features by using a space-time alignment convolution layer, analyzes microwave scattering characteristics by using a motion compensation attention mechanism, and generates a unified matrix by fusing features through a cross-attention mechanism; the decision module analyzes the matrix by using an FPGA, and outputs control instructions or early warning signals according to a preset threshold. The system realizes the complementary advantages of laser and microwave data, and significantly improves the sensing accuracy and response speed of dynamic targets in complex environments.

This invention provides a portable plate-type microwave imaging device and method, comprising a controller, an RF switch, and a detector; the controller is connected to the detector via the RF switch. The controller includes a display unit, an MCU module, a signal generator, and a mixer unit; the detector has a support and a microwave antenna; the RF switch has a switch switching module for sequentially or out-of-order switching of the microwave antenna connections; the controller also integrates an analog-to-digital converter (ADC), which is connected to the receiver of the RF switch. This invention features a simple structure, low cost, good portability, and ease of movement; combined with multi-stage mixed signal processing, it can achieve high-resolution imaging, relying on backscattering for imaging, and uses low-energy microwaves that do not produce thermal effects.

This invention discloses a method for implementing a geostationary orbit sparse spotting SAR imaging mode. The method involves constructing a schematic diagram of the wavefront selection for a geostationary orbit spotting SAR system; designing the wavefront of the geostationary orbit sparse spotting SAR imaging mode and calculating the mode parameters; calculating the yaw angle required for zero-Doppler attitude guidance of the geostationary orbit SAR satellite; constructing a radiation pattern model of the array antenna for the geostationary orbit sparse spotting SAR imaging mode; and conducting performance analysis of the geostationary orbit sparse spotting SAR imaging mode. This invention combines sparse microwave imaging with a geostationary orbit spotting SAR mode. Based on the existing SAR system, it uses a more accurate zebra pattern and appropriate wavefront design to obtain a larger mapping bandwidth, achieving the high-resolution, wide-swath observation objective of geostationary orbit spotting SAR. Simultaneously, it improves system performance by reducing range ambiguity and suppressing the influence of antenna rotation on orientation ambiguity.

The application relates to a deep learning microwave imaging method fusing virtual antenna data, comprising the following steps: a two-dimensional electromagnetic scattering model is established, and original scattering field observation data are collected under a sparse antenna configuration; the original scattering field observation data are processed by adopting a Fourier zero padding (FDZP) method, virtual scattering field data based on FDZP expansion are obtained, and a data set is further constructed; an FDZP-UNet network is constructed; the data set is input into the FDZP-UNet network, target dielectric constant prediction is output, and a high-resolution reconstructed image is further obtained. The deep learning microwave imaging method fusing virtual antenna data provided by the application comprehensively considers three performance indexes of imaging fidelity, system hardware cost and reconstruction efficiency, realizes virtual aperture expansion at a physical level through the Fourier domain zero padding method, effectively makes up for the physical information loss caused by sparse sampling, and greatly reduces the dependence on a large-scale physical antenna array.