摘要：【中文】本发明公开了一种门式结构上吊篮悬挂结构安装体系及其施工方法，安装体系包含一组门式结构、连接于相邻门式结构间的连梁、间隔连接于两外侧连梁上的边柱、连接于连梁和边柱上的主悬挂机构、连接于门式结构和连梁上的侧悬挂机构、以及分别连接于主悬挂机构和侧悬挂机构上的钢丝绳。施工时，本发明通过在门式结构上设置主悬挂机构和侧悬挂机构，可满足在门式结构上安装吊篮的需求且不占用施工场地；通过将主悬挂机构与边柱可拆卸连接、保障了整体承力且便于安装、调节和后期的移动；通过在主立架体间设置斜撑和拉杆，保证主悬挂机构的整体一致性和稳定性，且通过将钢丝绳临时固定在竖柱或边柱底部，起到双重保护和固定的作用。 【EN】The invention discloses a hanging basket suspension structure installation system on a door type structure and a construction method thereof. During construction, the main suspension mechanism and the side suspension mechanism are arranged on the door type structure, so that the requirement of mounting a hanging basket on the door type structure can be met, and a construction site is not occupied; the main suspension mechanism is detachably connected with the side column, so that the overall bearing force is guaranteed, and the installation, the adjustment and the later-stage movement are convenient; through set up bracing and pull rod between main stand body, guarantee main suspension mechanism's whole uniformity and stability, and through fixing wire rope temporarily in upstand or side column bottom, play duplicate protection and fixed effect.

摘要：【中文】本发明公开了一种地面雷达目标检测门限系数自适应调整方法，假设波束扫描范围内有N个波束指向，将目标检测距离范围划分为M个距离段，每个距离段内的目标检测使用相同的门限系数；根据设定的虚警概率确定每个波位、不同距离段的初始恒虚警门限系数、噪声门限系数并存储；利用预存的门限系数采用CFAR恒虚警检测算法对所有波位进行目标检测，根据检测出的目标信噪比、目标属性、目标距离更新相应波位、距离段的恒虚警门限系数或噪声门限系数，直至所有波位、所有距离段的门限系数更新完毕。本发明通过将门限系数调整与目标属性相适应，提高了地面雷达强杂波下的检测性能、目标跟踪的稳定性和可靠性。 【EN】The invention discloses a self-adaptive adjustment method for a ground radar target detection threshold coefficient, which is characterized in that N wave beam directions are assumed in a wave beam scanning range, a target detection distance range is divided into M distance sections, and the target detection in each distance section uses the same threshold coefficient; determining and storing initial constant false alarm threshold coefficients and noise threshold coefficients of each wave position and different distance segments according to the set false alarm probability; and performing target detection on all wave positions by using a CFAR constant false alarm detection algorithm by using a pre-stored threshold coefficient, and updating the constant false alarm threshold coefficient or the noise threshold coefficient of the corresponding wave position and distance section according to the detected signal-to-noise ratio of the target, the target attribute and the target distance until the threshold coefficients of all the wave positions and all the distance sections are updated. The invention improves the detection performance of the ground radar under the strong clutter and the stability and reliability of target tracking by adapting the threshold coefficient adjustment to the target attribute.

摘要：【中文】本发明公开了一种基于可调窗函数的S变换时频分析方法，对输入信号进行时域采样，获得离散序列；对离散序列进行FFT变换，获得信号频谱；根据信号频谱和分辨率要求，确定窗长控制函数以及窗函数；对窗函数进行FFT得到窗函数频谱；对信号频谱进行周期延拓，并将扩维后的信号频谱跟窗函数频谱相乘；对相乘的结果进行傅里叶逆变换，得到单个频率点的时间分布结果；完成所有频率点的计算，最终获得二维矩阵时频谱。本发明能够实现高分辨率时频分析，方法计算量适中，便于工程实现，具有良好的实时性。 【EN】The invention discloses an S-transform time-frequency analysis method based on an adjustable window function, which is used for carrying out time-domain sampling on an input signal to obtain a discrete sequence; performing FFT (fast Fourier transform) on the discrete sequence to obtain a signal frequency spectrum; determining a window length control function and a window function according to the signal frequency spectrum and the resolution requirement; performing FFT on the window function to obtain a window function frequency spectrum; carrying out periodic extension on the signal frequency spectrum, and multiplying the signal frequency spectrum after dimension expansion by a window function frequency spectrum; carrying out inverse Fourier transform on the multiplied result to obtain a time distribution result of a single frequency point; and finishing the calculation of all frequency points, and finally obtaining a two-dimensional matrix time spectrum. The invention can realize high-resolution time-frequency analysis, has moderate calculation amount, is convenient for engineering realization and has good real-time performance.

摘要：【中文】本发明要解决的主要问题：找到一种高动态下直扩DPSK信号的伪码相差—多普勒频偏二维联合捕获方法，实现大多普勒频偏下直扩DPSK信号的捕获。包括以下步骤：首先通过载波对接收到的中频直扩DPSK信号进行下变频处理；之后将接收信号和本地伪码送入延迟器中进行延迟相关处理，根据修正后的信号的相关峰值位置得到多普勒频偏估计值，再利用多普勒频偏值对载波进行修正；之后用修正后的载波对直扩DPSK信号进行下变频处理；最后采用码相位压缩的方法对多路连续相位本地伪码与多普勒补偿后的中频直扩DPSK信号进行相关，获取伪码估计值。本发明能够实现高动态下直扩DPSK信号的捕获，完成伪码相位和多普勒频偏的联合估计，具有较小的多普勒频偏估计误差性能，且具有很好的伪码相位捕获性能，捕获时间短，从而保证接收信号在进入信号跟踪处理模块之前即已得到较好的粗同步，复杂度较低，具有较强的实用价值。 【EN】The main problems to be solved by the invention are as follows: a pseudo code phase difference-Doppler frequency offset two-dimensional combined capturing method of the direct spread DPSK signal under high dynamic conditions is found, and capturing of the direct spread DPSK signal under large Doppler frequency offset is achieved. The method comprises the following steps: firstly, carrying out down-conversion processing on a received intermediate frequency direct spread DPSK signal through a carrier; then sending the received signal and the local pseudo code into a delayer for delay correlation processing, obtaining a Doppler frequency offset estimation value according to the correlation peak position of the corrected signal, and correcting the carrier wave by using the Doppler frequency offset value; then, carrying out down-conversion processing on the direct spread DPSK signal by using the corrected carrier; and finally, correlating the multi-path continuous phase local pseudo code with the Doppler-compensated intermediate frequency direct sequence spread spectrum (DPSK) signal by adopting a code phase compression method to obtain a pseudo code estimation value. The invention can realize the capture of the DPSK signal under high dynamic state, complete the joint estimation of the pseudo code phase and the Doppler frequency offset, has smaller Doppler frequency offset estimation error performance, good pseudo code phase capture performance and short capture time, thereby ensuring that the received signal can obtain better coarse synchronization before entering a signal tracking processing module, having lower complexity and stronger practical value.

摘要：【中文】本发明公开了一种地面侦察雷达目标点迹凝聚方法，包括：在雷达完成目标检测之后，对目标检测器输出的原始点迹数据进行处理，提取单个相参积累周期内所有原始目标信息，包括距离门号、多普勒号和目标功率；根据目标距离远近分别进行近距离目标点迹凝聚处理和远距离目标点迹凝聚处理，最终汇总得到当前积累周期的点迹凝聚结果。本发明在不增加系统复杂度的前提下，提高单目标的距离精度和相邻目标的距离分辨能力。 【EN】The invention discloses a ground reconnaissance radar target point trace condensing method, which comprises the following steps: after the radar finishes target detection, processing original point trace data output by a target detector, and extracting all original target information in a single coherent accumulation period, including a range gate number, a Doppler number and target power; and respectively carrying out close-distance target point trace coagulation treatment and long-distance target point trace coagulation treatment according to the distance of the target, and finally summarizing to obtain a point trace coagulation result of the current accumulation period. The invention improves the distance precision of a single target and the distance resolution capability of adjacent targets on the premise of not increasing the complexity of the system.

摘要：【中文】本发明公开了一种多项式旋转‑多项式傅里叶变换的高速高机动目标检测方法，首先分别对积累时间内的M个雷达脉冲回波进行数字化采样以及脉冲压缩处理，得到快时间‑慢时间二维雷达回波数据矩阵；然后根据待检测目标运动特性确定搜索参数组的阶数和范围并初始化搜索参数组；接着利用多项式旋转‑多项式傅里叶变换在整个参数搜索空间内对数据矩阵进行相参积累，得到距离‑多普勒分布图；最后利用恒虚警检测判断目标的有无，若有目标则可以得到目标的距离和运动状态信息。多项式旋转‑多项式傅里叶变换可以在计算复杂度远小于广义拉东变换的条件下，与其达到同样的理论最佳积累效果，实现低信噪比环境下临近空间高速高机动目标相参积累。 【EN】The invention discloses a high-speed high maneuvering target detection method based on polynomial rotation-polynomial Fourier transform, which comprises the steps of firstly, respectively carrying out digital sampling and pulse compression processing on M radar pulse echoes in accumulation time to obtain a fast time-slow time two-dimensional radar echo data matrix; then, determining the order and the range of a search parameter set according to the motion characteristics of the target to be detected and initializing the search parameter set; then, carrying out coherent accumulation on the data matrix in the whole parameter search space by utilizing polynomial rotation-polynomial Fourier transform to obtain a distance-Doppler distribution map; and finally, judging whether the target exists or not by using constant false alarm detection, and if the target exists, obtaining the distance and motion state information of the target. The polynomial rotation-polynomial Fourier transform can achieve the same theoretical optimal accumulation effect under the condition that the calculation complexity is far smaller than that of the generalized Radon transform, and coherent accumulation of high-speed and high-mobility targets in the adjacent space under the environment with low signal-to-noise ratio is achieved.

摘要：【中文】本发明公开了一种基于改进水循环算法的稀布天线阵列低副瓣综合优化方法。该方法为：首先对天线阵列方向图进行数学建模，构造阵列方向图与天线阵元位置之间的函数关系，并通过对阵元位置做常量分离，降低了阵元位置解的搜索空间；然后对阵列中阵元位置集合按水循环算法进行分类、汇流、蒸发与降雨过程；最后通过多轮迭代得到最终大海对应的个体，将大海中各阵元位置作为阵列中阵元的最佳排布方式。本发明具有副瓣电平低、算法简单、收敛速度快、鲁棒性好、收敛结果好的优点。 【EN】The invention discloses a comprehensive optimization method for a low side lobe of a thin-cloth antenna array based on an improved water circulation algorithm. The method comprises the following steps: firstly, an antenna array directional diagram is mathematically modeled, a functional relation between the array directional diagram and the antenna array element position is constructed, and the search space of an array element position solution is reduced by performing constant separation on the array element position; then, classifying, converging, evaporating and rainfall the array element position set in the array according to a water circulation algorithm; and finally, obtaining the final individual corresponding to the sea through multiple rounds of iteration, and taking the position of each array element in the sea as the optimal arrangement mode of the array elements in the array. The method has the advantages of low side lobe level, simple algorithm, high convergence speed, good robustness and good convergence result.

摘要：【中文】本发明公开了一种基于海森矩阵预估计的星载AIS/ADS‑B碰撞信号分离方法，具体为：对接收AIS/ADS‑B射频信号进行放大滤波以及模数转换，然后分别对它们进行数字下变频和信道分离处理，分别得到AIS的混合信号矩阵和ADS‑B的混合信号矩阵；之后对AIS/ADS‑B的混合信号矩阵并行处理，首先将其中心化和白化，再采用海森矩阵预估计改进的信号分离算法进行解碰撞处理，得到N路分离信号；得到的AIS/ADS‑B分离信号将进入后续解调解码流程，最终生成有效数据帧。本发明利用海森矩阵预估计改进拟牛顿迭代算法，在提高分离矩阵的估计精度的同时加速收敛，减少了分离矩阵寻优与解碰撞所需时间，实时性更好，更适用于星载AIS/ADS‑B系统。 【EN】The invention discloses a satellite-borne AIS/ADS-B collision signal separation method based on hessian matrix pre-estimation, which specifically comprises the following steps: amplifying and filtering and analog-to-digital converting are carried out on the received AIS/ADS-B radio frequency signals, then digital down-conversion and channel separation processing are respectively carried out on the received AIS/ADS-B radio frequency signals, and a mixed signal matrix of AIS and a mixed signal matrix of ADS-B are respectively obtained; then parallel processing is carried out on the AIS/ADS-B mixed signal matrix, firstly, centralization and whitening are carried out, and then, the signal separation algorithm improved by the hessian matrix pre-estimation is adopted for carrying out collision resolution processing, so that N paths of separation signals are obtained; and the obtained AIS/ADS-B separation signal enters a subsequent demodulation and decoding process to finally generate an effective data frame. The method improves the quasi-Newton iterative algorithm by utilizing the hessian matrix pre-estimation, improves the estimation precision of the separation matrix, accelerates the convergence, reduces the time required by the optimization and collision solution of the separation matrix, has better real-time property, and is more suitable for a satellite-borne AIS/ADS-B system.

摘要：【中文】本发明公开了一种有源相扫地面侦察雷达的自动增益控制系统及方法，系统组成包括阵列天线、T/R组件、频综接收机、波控板、电子罗盘、信号处理单元；通过预设接收机增益，测量雷达扫描范围内不同波束指向下固定地物回波经中频数字化、下变频抽取滤波及脉冲压缩等处理后的幅值特性，确定各方位下的接收机增益控制代码，从而实现随雷达所处地物环境变化而自适应调整接收机增益的自动增益控制系统。本发明使得当天线波束指向不同方位时可以根据地物回波功率自适应调整接收机增益，保证强地物方位回波采样不会出现溢出失真，弱地物方位回波不被衰减，充分利用AD芯片的量化性能，提高雷达的检测性能、降低虚警概率。 【EN】The invention discloses an automatic gain control system and method of an active phase scanning ground reconnaissance radar, wherein the system comprises an array antenna, a T/R component, a frequency synthesis receiver, a wave control board, an electronic compass and a signal processing unit; the automatic gain control system measures the amplitude characteristics of the fixed ground object echoes pointed downwards by different wave beams in the radar scanning range after the processing of intermediate frequency digitization, down-conversion extraction filtering, pulse compression and the like by presetting the gain of the receiver, and determines the gain control code of the receiver in each direction, thereby realizing the self-adaptive adjustment of the gain of the receiver along with the change of the environment of the ground object where the radar is located. The invention can adaptively adjust the gain of the receiver according to the ground object echo power when the antenna beam points to different directions, ensures that the sampling of the strong ground object azimuth echo does not have overflow distortion and the weak ground object azimuth echo is not attenuated, fully utilizes the quantization performance of the AD chip, improves the detection performance of the radar and reduces the false alarm probability.

摘要：【中文】本发明公开了一种联合时频域的地面雷达自动目标识别方法及系统，识别方法包括：对回波信号的I、Q两路进行时域特征提取，对雷达回波信号经下变频处理后的基带回波信号进行傅里叶变换，提取频域特征；将提取的时域特征和频域特征送入分类器，根据输出值进行判决；系统包括：特征计算模块，用于计算并获取目标的特征信息；判决识别模块，将提取特征送入设计的分类器中，根据输出判决结果决定目标属性。本发明实现简单，判决效率高，并且对低分辨雷达的地面雷达目标属性识别准确率高。 【EN】The invention discloses a method and a system for identifying an automatic target of a ground radar in a joint time-frequency domain, wherein the identification method comprises the following steps: extracting time domain characteristics of I, Q paths of echo signals, performing Fourier transform on baseband echo signals after down-conversion processing of radar echo signals, and extracting frequency domain characteristics; sending the extracted time domain features and frequency domain features into a classifier, and judging according to an output value; the system comprises: the characteristic calculation module is used for calculating and acquiring characteristic information of the target; and the judgment identification module is used for sending the extracted features into a designed classifier and determining the target attribute according to the output judgment result. The method is simple to realize, high in judgment efficiency and high in accuracy of identifying the ground radar target attribute of the low-resolution radar.