雷达CAD中随机信号处理算法的实现

M. Y. Konopel'kin, S. V. Petrov, D. A. Smirnyagina
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引用次数: 1

摘要

目标。在2020年,俄罗斯雷达计算机辅助设计系统(雷达CAD)的开发工作完成。雷达CAD为创建仿真模型提供了广泛的机会,用于开发考虑航空航天环境观测具体条件的雷达算法的软硬件复合体。本工作的目的是回顾和展示雷达CAD在实现和测试随机信号处理算法方面的能力。这项工作是以线性代数的数学工具为基础的。采用仿真方法对算法特性进行了分析。在雷达CAD可视化功能编辑器中建立了带有数字天线阵的扇区监视雷达的仿真模型。无源信道包括以下算法:随机信号检测算法;随机信号数量估计算法;随机信号源的测向算法自适应空间滤波算法。在仿真过程中,随机信号数量的检测和估计算法产生了正确的检测符号和信号数量的估计。该测向算法估计源的角位置,精度为几分之一度。自适应空间滤波算法将干扰信号抑制到低于天线固有噪声功率的水平。在开发功能雷达模型的俄罗斯雷达CAD系统的基础上,可以对各种类型信号的处理进行详细的模拟。根据仿真结果,得到了观测目标的坐标,并对算法的有效性进行了评价。所得结果与理论预测完全一致。在这项工作中展示的雷达CAD系统的能力可以被雷达和信号处理领域的专家使用。
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Implementation of stochastic signal processing algorithms in radar CAD
Objectives. In 2020, development work on the creation of a Russian computer-assisted design system for radars (radar CAD) was completed. Radar CAD provides extensive opportunities for creating simulation models for developing the hardware-software complex of radar algorithms, which take into account the specific conditions of aerospace environment observation. The purpose of the present work is to review and demonstrate the capabilities of radar CAD in terms of implementing and testing algorithms for processing stochastic signals.Methods. The work is based on the mathematical apparatus of linear algebra. Analysis of algorithms characteristics was carried out using the simulation method.Results. A simulation model of a sector surveillance radar with a digital antenna array was created in the radar CAD visual functional editor. The passive channel included the following algorithms: algorithm for detecting stochastic signals; algorithm for estimating the number of stochastic signals; direction finding algorithm for stochastic signal sources; adaptive spatial filtering algorithm. In the process of simulation, the algorithms for detecting and estimating the number of stochastic signals produced a correct detection sign and an estimate of the number of signals. The direction-finding algorithm estimated the angular position of the sources with an accuracy of fractions of degrees. The adaptive spatial filtering algorithm suppressed interfering signals to a level below the antenna's intrinsic noise power.Conclusions. The processing of various types of signals can be simulated in detail on the basis of the Russian radar CAD system for the development of functional radar models. According to the results of the simulation, coordinates of observing objects were obtained and an assessment of the effectiveness of the algorithms was given. The obtained results are fully consistent with the theoretical prediction. The capabilities of radar CAD systems demonstrated in this work can be used by specialists in the field of radar and signal processing.
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