17 results about "Microwave imaging" patented technology

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 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.

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.

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 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 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.

The application discloses a lightweight breast microwave image reconstruction method and device, medium and product, and relates to the field of microwave imaging. The method comprises the following steps: collecting breast microwave scattering field data to obtain an original microwave breast image; constructing a lightweight multi-scale convergent convolution based on different groups of convolution modules; constructing a microwave image reconstruction network based on the lightweight multi-scale convergent convolution and in combination with an encoder-decoder architecture; and obtaining a reconstructed microwave breast image based on the original microwave breast image by using the microwave image reconstruction network. The application can reduce the model parameter quantity, reduce the calculation complexity, and improve the inference speed, thereby meeting the application requirements of clinical portability and light weight.

The application provides a microwave imaging device and method based on a diamond quantum sensor, and is applied to the technical field of microwave signals. The device comprises: a microwave distribution module, which performs distribution and modulation processing on a microwave source signal to obtain a to-be-measured microwave signal, a reference microwave signal and a reference square wave signal; a transmission detection module, a microwave transmission unit for transmitting the to-be-measured microwave signal, and a diamond quantum probe unit for receiving a scattered microwave signal; an excitation collection module, which is used for transmitting an excitation light signal to the diamond quantum probe unit, so as to modulate a to-be-measured light signal obtained by excitation at a diamond nitrogen-vacancy color center via the excitation light signal by using the scattered microwave signal and the reference microwave signal, and generate a to-be-measured photoelectric signal; and a control processing module, which is used for performing phase inversion judgment and phase calculation processing on the to-be-measured photoelectric signal respectively to obtain a target phase difference; and performing electromagnetic inversion reconstruction on the target phase difference and the microwave amplitude of the to-be-measured photoelectric signal to obtain a target image.

This invention discloses a near-field microwave SAR imaging scanning trajectory planning method for non-destructive testing of aircraft coatings. By introducing Poisson surface reconstruction to perform global implicit surface fitting on noisy point clouds, a smooth and continuous triangular mesh model and a stable normal vector field are obtained, fundamentally eliminating the interference of original point cloud noise on normal vector calculation. An adaptive region partitioning strategy based on curvature and probe scanning range enables intelligent partitioning of arbitrarily complex surfaces. By constructing a local scanning coordinate system based on normal vectors within each sub-region and generating a zigzag trajectory, high-precision fitting of the scanning path to the actual surface is achieved. By simultaneously using the reconstructed 3D model for collision detection environment construction and implementing dual collision safety checks during planning and execution using a motion planner, absolute safety during the detection process is ensured.

This invention discloses a full-space high-scan-rate leaky-wave antenna based on odd-mode SSPP, belonging to the field of microwave antenna technology. The antenna includes a dielectric substrate, odd-mode feed structures disposed at both ends of the dielectric substrate, a gradient transition structure connected to the odd-mode feed structures, a complementary slip-symmetric SSPP transmission line connected between the gradient transition structures, and periodic metallic radiating stubs symmetrically loaded on both sides of the SSPP transmission line. The antenna of this invention uses odd-mode excitation to achieve strong end-direction radiation, combined with a slip-symmetric structure to suppress the stopband and improve the scan rate; by optimizing the modulation period to meet single-harmonic operating conditions, higher-order harmonic sidelobes are eliminated. This invention achieves full-space scanning of -90° to +90° within a 4~4.65GHz bandwidth, with a scan rate of 11.95° / s, an average efficiency of 88%, and an average gain of 8.8dBi. It has a compact structure, is easy to manufacture, and is suitable for systems such as vehicle-mounted radar and microwave imaging.

The application relates to the technical field of space imaging, and provides a space target space-based microwave imaging parameter optimization method and device. The method comprises the following steps: predicting a target intersection section of a detection satellite and a space target, extracting an average relative speed of the detection satellite and the space target, a minimum intersection distance and an orbit prediction error component from the target intersection section, determining an optimized detection time length and an optimized detection frequency of the detection satellite based on at least the minimum intersection distance and the orbit prediction error component, determining an optimized imaging time length of the detection satellite based on at least the average relative speed and the minimum intersection distance, and performing multi-constraint collaborative solving on a pulse repetition frequency (PRF) of the detection satellite based on at least the average relative speed and the minimum intersection distance to obtain an optimized PRF. The method realizes microwave imaging parameter optimization design of a quantitative model and actual scene constraint, is high in efficiency, is suitable for a wide range of scenes, and provides strong support for precision improvement and engineering landing of space-based microwave imaging technology.

This invention belongs to the interdisciplinary field of microwave medical imaging and deep learning, specifically relating to a dynamic microwave imaging stroke monitoring method and system based on temporal deep learning denoising and wavelet pooling detection. It can achieve data domain clutter suppression, improve the signal-to-noise ratio of scattered signals, and effectively separate lesion signals from background interference; it enables continuous monitoring at multiple time points, capturing the evolutionary characteristics of lesions over time, such as hematoma expansion, edema spread, and reperfusion, providing dynamic pathological change trends for clinical use; it proposes a temporal self-supervised denoising framework to improve denoising consistency under multi-frame input and avoid inter-frame artifact jumps; it increases the equivalent density of spatial sampling with a limited number of antennas, reduces imaging artifacts, and enhances lesion localization stability; and it optimizes multi-scale lesion detection performance, capturing the edges and details of stroke lesions of different sizes and shapes in microwave images.

The embodiment of the application provides a kind of non-invasive ablation microwave thermotherapy device, belong to biomedical engineering industry in the microwave thermotherapy equipment technical field, including rack, solid microwave source, microwave transmission device, phased array microwave radiator, non-invasive temperature measuring device, treatment bed and positioning device. Through the three-dimensional coordinates of focus output by positioning device, drive treatment bed to complete lifting and horizontal displacement, make focus accurate alignment focusing area of phased array microwave radiator;Through the temperature data of non-invasive temperature measuring device, adjust output power or the phase distribution of phased array microwave radiator, realize positioning-ablation-real-time temperature measurement-regulation and control collaborative treatment. The whole treatment is without puncture insertion tissue, reduce patient wound, solve the technical defects that traditional microwave thermotherapy device cannot be realized in computer control phased array microwave under microwave imaging and CT, nuclear magnetic resonance image guidance, through microwave non-invasive temperature measurement at the same time through phased array rectangular microwave ablation treatment.