摘要：【中文】本发明提出一种脉冲多普勒雷达的双波束角度测量方法，包括：雷达发射机发射射频信号，接收机接收射频信号并进行数字下变频，获得实测回波信号；将所获得的回波信号合成第一方位波束和第一俯仰波束、第二方位波束和第二俯仰波束；分别对第一方位波束和第二方波波束公共角度部分进行线性加权得到方位测角角度‑幅度曲线，第一俯仰波束和第二俯仰波束公共角度部分进行线性加权得到俯仰测角角度‑幅度曲线；根据计算所得方位测角角度‑幅度曲线和俯仰测角角度‑幅度曲线分别拟合得到方位角和俯仰角测角斜率；根据测角斜率与实测得到的方位幅度与俯仰幅度计算得到对应的方位角与俯仰角。本发明实现了探测目标方位角与俯仰角的目的。 【EN】The invention provides a method for measuring a double-beam angle of a pulse Doppler radar, which comprises the following steps: a radar transmitter transmits a radio frequency signal, a receiver receives the radio frequency signal and performs digital down-conversion to obtain an actually measured echo signal; synthesizing the obtained echo signals into a first azimuth beam and a first elevation beam, a second azimuth beam and a second elevation beam; respectively carrying out linear weighting on the first square wave beam common angle part and the second square wave beam common angle part to obtain an azimuth angle measurement angle-amplitude curve, and carrying out linear weighting on the first pitch wave beam common angle part and the second pitch wave beam common angle part to obtain a pitch angle measurement angle-amplitude curve; respectively fitting the azimuth angle measurement angle-amplitude curve and the pitch angle measurement angle-amplitude curve to obtain an azimuth angle and a pitch angle measurement slope; and calculating to obtain a corresponding azimuth angle and a corresponding pitch angle according to the angle measurement slope and the azimuth amplitude and the pitch amplitude obtained by actual measurement. The invention realizes the purpose of detecting the azimuth angle and the pitch angle of the target.

摘要：【中文】本发明提出一种基于距离对齐的雷达精度分析方法，包括：飞行器搭载定位导航设备匀速往返飞行，雷达得到飞行器的目标点迹信息；雷达得到飞行器航迹信息，并获取飞行器搭载的定位导航设备记录的航迹信息；将雷达基站与飞行器航迹信息转换成以雷达为圆心的站心坐标系；对雷达获得的飞行器航迹信息数据与定位导航设备获得的飞行器航迹信息数据进行补偿；对补偿后的雷达测算的飞行器航迹信息数据与飞行器真实航迹信息数据对比，求解雷达测算的误差值，通过对误差求均值与方差获得雷达回波计算航迹信息精准数据。本发明能有效消除由回波时延与系统时延导致的时间误差，完成实现提高雷达精度分析精确率的目的。 【EN】The invention provides a radar precision analysis method based on distance alignment, which comprises the following steps: the aircraft carries a positioning navigation device to fly back and forth at a constant speed, and the radar obtains target trace information of the aircraft; the radar obtains flight path information of the aircraft and obtains the flight path information recorded by positioning navigation equipment carried by the aircraft; converting the radar base station and the flight path information of the aircraft into a station center coordinate system with the radar as the center of a circle; compensating aircraft track information data obtained by a radar and aircraft track information data obtained by a positioning navigation device; and comparing the compensated radar measured and calculated aircraft track information data with the aircraft real track information data, solving the error value of radar measurement and calculation, and obtaining radar echo calculated track information accurate data by calculating the mean value and the variance of the error. The invention can effectively eliminate the time error caused by echo time delay and system time delay, and achieves the purpose of improving the accuracy rate of radar precision analysis.

摘要：【中文】本发明提出一种基于模式搜索算法的脉冲多普勒雷达和波束形成方法，包括：S1：按照不同方位角与俯仰角测量雷达相控阵前端阵面的雷达接收增益，获取不同阵元接收天线方向图；S2：初始化数字和波束生成系数，设计不同搜索步长、确定不同搜索方向的基向量，初始化收敛条件；S3：由和波束分布特征确定和波束生成系数目标函数；S4：求解和波束生成系数对应目标函数值，判断目标函数是否达到收敛条件；S5：使用不同步长与基向量获得不同和波束生成系数与对应目标函数值，选取使目标函数值达到最小的和波束生成系数作为最终结果进行输出。本发明通过模式搜索优化方法合成理想和通道天线方向图。 【EN】The invention provides a pulse Doppler radar and a beam forming method based on a pattern search algorithm, which comprises the following steps: s1: measuring radar receiving gain of a front array surface of the radar phased array according to different azimuth angles and pitching angles to obtain different array element receiving antenna directional diagrams; s2: initializing numbers and beam generation coefficients, designing different search step lengths, determining base vectors in different search directions, and initializing convergence conditions; s3: determining a sum beam generation coefficient objective function according to the sum beam distribution characteristics; s4: solving a target function value corresponding to the sum beam generation coefficient, and judging whether the target function reaches a convergence condition; s5: and obtaining different sum beam generation coefficients and corresponding objective function values by using different step lengths and basis vectors, and selecting the sum beam generation coefficient which enables the objective function value to be minimum as a final result for outputting. The invention synthesizes ideal and channel antenna directional patterns by a mode search optimization method.

摘要：【中文】本发明提供一种基于FPGA的PD雷达发射波形配置方法及装置，所述装置包括：参数解析模块，用于接收波形配置参数，将其解析为所需要的格式；时序控制模块，用于确定天线发射机的发射时序；DDS回波生成模块，用于生成LFM信号；匹配系数生成模块，用于得到当前配置参数下的匹配滤波系数；回波脉压处理模块，用于自动将AD采集的回波点数补齐为基2点数并进行脉冲压缩处理；数据传输模块，用于将脉冲压缩结果通过调整接口传输到DSP。根据本发明的方案，能够根据不同场景环境和用户需求，半自动化地完成最优的回波目标检测，任意配置适应的回波波形，满足不同探测威力与探测精度。 【EN】The invention provides a PD radar emission waveform configuration method and a device based on FPGA, wherein the device comprises the following steps: the parameter analysis module is used for receiving the waveform configuration parameters and analyzing the waveform configuration parameters into a required format; the time sequence control module is used for determining the transmitting time sequence of the antenna transmitter; the DDS echo generating module is used for generating an LFM signal; the matching coefficient generating module is used for obtaining a matching filter coefficient under the current configuration parameters; the echo pulse pressure processing module is used for automatically supplementing the number of the echo points acquired by the AD into a base 2 point number and performing pulse compression processing; and the data transmission module is used for transmitting the pulse compression result to the DSP through the adjustment interface. According to the scheme of the invention, the optimal echo target detection can be semi-automatically completed according to different scene environments and user requirements, the adaptive echo waveform can be configured at will, and different detection power and detection precision can be met.

摘要：【中文】本申请提供一种信息筛选方法、装置、电子设备及可读存储介质，包括：获取问题以及与问题对应的一个答案选项组成的信息组合，问题对应有多个答案选项，一个答案选项为多个答案选项中的任一个，多个答案选项中的至少一个答案选项为问题的正确答案；使用训练完成的信息筛选模型对信息组合进行分析处理，得到信息组合的判定结果。本申请实施例提供的信息筛选方法可以利用信息筛选模型来判断选择题中的题干以及其中一个选项组成的组合的正确或错误，从而获得上述选择题的正确答案。由于本申请实施例是利用训练完成的信息筛选模型来解答选择题，因此在对题库依赖较小的情况下依然能得到选择题的正确答案，能够更好地对学生群体进行习题辅导。 【EN】The application provides an information screening method, an information screening device, an electronic device and a readable storage medium, wherein the information screening method comprises the following steps: acquiring an information combination consisting of a question and one answer option corresponding to the question, wherein the question corresponds to a plurality of answer options, one answer option is any one of the answer options, and at least one answer option in the answer options is a correct answer to the question; and analyzing and processing the information combination by using the trained information screening model to obtain a judgment result of the information combination. The information screening method provided by the embodiment of the application can judge the correctness or the mistake of the question stem in the choice questions and the combination of one option by utilizing the information screening model, thereby obtaining the correct answer of the choice questions. Because the embodiment of the application utilizes the trained information screening model to solve the choice questions, the correct answers of the choice questions can still be obtained under the condition of less dependence on the question library, and the student group can be better guided by exercises.

摘要：【中文】本发明提出了一种基于DSP的PD雷达波形配置方法及装置，包括系统初始化，等待上位机下发波形配置参数；接收并解析所述波形配置参数，以得到距离向点数m和方位向点数n；对通道DDC数据进行变换得到脉压数据块为4通道n*m_1，经转置后进行杂波抑制和多普勒积累处理得到4通道复数矩阵大小均为m_1*n_1，对通道进行求幅值二维CFAR检测；基于检测结果，对目标点进行副瓣抑制和比幅测角，从而得到最终的目标数据，并通过网络上传该目标数据至上位机，本发明涉及脉冲多普勒雷达(PD)可参数化配置，完成雷达在线波形配置操作，可实现针对不同场景和任务需求在线配置不同波形的能力，实现相应的探测能力。 【EN】The invention provides a PD radar waveform configuration method and a device based on a DSP, which comprises the steps of initializing a system, and waiting for an upper computer to issue waveform configuration parameters; receiving and analyzing the waveform configuration parameters to obtain a distance direction point number m and an azimuth direction point number n; transforming DDC data of the channels to obtain a pulse pressure data block of 4 channels n × m _1, transposing, performing clutter suppression and Doppler accumulation to obtain a 4-channel complex matrix with the size of m _1 × n _1, and performing amplitude two-dimensional CFAR detection on the channels; the invention relates to parametrizable configuration of a pulse Doppler radar (PD), completes radar online waveform configuration operation, can realize the capacity of online configuration of different waveforms aiming at different scenes and task requirements, and realizes corresponding detection capacity.

摘要：【中文】本发明提供了一种针对CT影像数据的目标检测方法、装置及电子设备，涉及图像处理技术领域，获取CT影像数据；CT影像数据包括目标特征；将CT影像数据进行像素归一化，得到多个灰度图像；在多个灰度图像中按照预设的方法提取灰度图像组，并将每个灰度图像组合并为对应的伪彩色图像；灰度图像组为灰度图像按照指定数量和指定顺序组成的；将伪彩色图像输入预先训练好的神经网络中，以使预先训练好的神经网络对伪彩色图像进行检测，得到目标特征的类别及位置。因此本发明可以有效提高CT影像数据目标检测的准确率。 【EN】The invention provides a target detection method, a target detection device and electronic equipment for CT image data, relates to the technical field of image processing, and aims to obtain the CT image data; the CT image data includes target features; carrying out pixel normalization on the CT image data to obtain a plurality of gray level images; extracting a gray image group from a plurality of gray images according to a preset method, and combining each gray image group into a corresponding pseudo color image; the gray image group is composed of gray images according to the specified number and the specified sequence; and inputting the pseudo-color image into a pre-trained neural network so that the pre-trained neural network detects the pseudo-color image to obtain the category and the position of the target feature. Therefore, the method can effectively improve the accuracy of the target detection of the CT image data.

摘要：【中文】本发明提供了一种病灶检测方法、装置及电子设备，该方法获取待检测的医学扫描图像；对医学扫描图像进行预处理，得到与医学扫描图像对应的去噪扫描图像；将去噪扫描图像输入至预先训练的病灶检测模型，得到病灶检测模型输出的检测结果；其中，检测结果包括病灶中心点坐标、病灶尺寸和病灶偏移量中的一种或多种；将检测结果标注至医学扫描图像。本发明可以有效提高检测病灶的准确度。 【EN】The invention provides a focus detection method, a focus detection device and electronic equipment, wherein the method is used for acquiring a medical scanning image to be detected; preprocessing the medical scanning image to obtain a de-noised scanning image corresponding to the medical scanning image; inputting the de-noised scanning image into a pre-trained focus detection model to obtain a detection result output by the focus detection model; wherein, the detection result comprises one or more of the coordinates of the focus central point, the focus size and the focus offset; and labeling the detection result to the medical scanning image. The invention can effectively improve the accuracy of detecting the focus.

摘要：【中文】本发明提供了一种病灶检测系统构建的方法、装置及电子设备，包括：获取CT影像数据；其中，CT影像数据包括有病灶的CT影像数据和无病灶的CT影像数据；基于类空间金字塔检测网络模型对CT影像数据进行逐层检测，确定病灶类型和病灶位置；根据病灶类型和病灶位置构建病灶检测模型；基于病灶检测模型构建病灶检测系统；其中，病灶检测系统包括至少两个病灶检测模型。本发明可以基于类空间金字塔检测网络模型构建病灶检测系统，在构建过程中无需对数据进行肺实质分割等预处理，也无需通过后处理降低误差率，从而可以简化系统的构建过程。 【EN】The invention provides a method and a device for constructing a focus detection system and electronic equipment, wherein the method comprises the following steps: acquiring CT image data; wherein, the CT image data comprises CT image data with focus and CT image data without focus; detecting the CT image data layer by layer based on a space pyramid detection network model to determine the type and position of a focus; constructing a focus detection model according to the focus type and the focus position; constructing a focus detection system based on a focus detection model; wherein, the focus detection system comprises at least two focus detection models. The invention can construct a focus detection system based on the space pyramid-like detection network model, and the lung parenchyma segmentation and other preprocessing of data are not needed in the construction process, and the error rate is also not needed to be reduced through post-processing, so that the construction process of the system can be simplified.

摘要：【中文】本发明提供了一种基于度量学习的菜品识别方法及装置，涉及图像识别和处理的技术领域，包括：先获取待检测图像；若待检测图像为菜品图像，则对待检测图像进行裁剪，得到包含菜品信息的目标图像；然后将目标图像输入至目标卷积神经网络中，得到目标图像的特征信息；目标卷积神经网络为基于度量学习训练的网络；再利用最近邻方法从预设数据库中选择与目标图像的特征信息相似的图像特征信息；最后将图像特征信息对应的菜品信息作为待检测图像的菜品信息。本发明基于度量学习训练好的卷积神经网络模型对菜品图像的识别粒度小，进而可以区分特征相似的菜品。度量学习还可以通过优化特征空间，实现对类内距离大的菜品图像的识别。 【EN】The invention provides a dish identification method and device based on metric learning, which relate to the technical field of image identification and processing and comprise the following steps: firstly, acquiring an image to be detected; if the image to be detected is a dish image, cutting the image to be detected to obtain a target image containing dish information; then inputting the target image into a target convolutional neural network to obtain the characteristic information of the target image; the target convolutional neural network is a network based on metric learning training; selecting image characteristic information similar to the characteristic information of the target image from a preset database by using a nearest neighbor method; and finally, using the dish information corresponding to the image characteristic information as the dish information of the image to be detected. The method is based on the convolution neural network model which is well trained by metric learning and has small identification granularity on dish images, so that dishes with similar characteristics can be distinguished. The measurement learning can also realize the identification of the dish images with large intra-class distance by optimizing the feature space.