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METHOD FOR ADAPTIVE SIGNAL PROCESSING IN SURVEY COHERENT-PULSE RADAR STATIONS

机译:相干相干雷达台站自适应信号处理方法

摘要

FIELD: radar ranging.;SUBSTANCE: invention relates to radar ranging and can be used in radar stations for viewing and controlling air traffic, as well as in other coherent radar stations operating in passive interference conditions caused by reflections from local objects, meteorological formations, underlying surface. Said result is achieved by adaptive signal processing in the coherent-pulse radar scans, comprising the vector formation for each digital range reading, the components of which are counts of the reflected signal from the same range element in previous repetition periods, wherein input data vector is divided into m blocks with length of n elements, wherein each data unit is filtered by a system of orthogonal filters, dispersion of noise at the output of the filters is calculated and stored in n interference maps for each range element and azimuth, the outputs of the filters are normalized with data of the corresponding interference maps at the previous viewing moment, to account for Doppler frequency increment of moving target, filter outputs are corrected taking into account characteristics of filters and shape of antenna pattern, results of processing input data vector blocks are combined and coherently accumulated using a fast Fourier transform algorithm, then calculating a square of the spectrum module which is compared to the detection threshold in each Doppler channel. If the Doppler frequency of the target is not to be measured, the square of the module output of each block is calculated, normalized with a square polynomial from the interference map data at the previous viewpoint, the results of processing all the blocks are summed up and compared with the detection threshold.;EFFECT: high efficiency of target detection.;2 cl, 8 dwg
机译:雷达测距技术领域本发明涉及雷达测距,并且可用于雷达站中以查看和控制空中交通,以及在由于本地物体,气象构造,底层表面。所述结果是通过相干脉冲雷达扫描中的自适应信号处理来实现的,该处理包括针对每个数字范围读数的矢量形成,其分量是先前重复周期中来自同一范围元素的反射信号的计数,其中输入数据矢量被划分为m个块,每个元素的长度为n个元素,其中每个数据单元由正交滤波器系统进行滤波,计算滤波器输出端的噪声离散度,并将其存储在每个范围元素和方位角的n个干扰图中,输出在先前的观察时刻,用相应的干扰图的数据对滤波器的归一化,以考虑移动目标的多普勒频率增量,考虑到滤波器的特性和天线方向图的形状,处理输入数据矢量的结果,对滤波器输出进行校正。使用快速傅立叶变换算法合并并相干地累积块,然后计算频谱模块,将其与每个多普勒信道中的检测阈值进行比较。如果不测量目标的多普勒频率,则计算每个块的模块输出的平方,并根据先前视点的干涉图数据使用平方多项式归一化,将所有块的处理结果相加效果:目标检测效率高; 2 cl,8 dwg

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