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Robust Waveform Design and Analysis of Active Radar for the Detection of Target

机译:用于目标检测的有源雷达的稳健波形设计与分析

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This paper illustrates how, the evaluation of robust properties for transmitted waveform by worst case detection analysis and performance for target detection in the existence of clutter and noise. Here, Stepped FM waveform is considered for waveform design and analysis. Its design and analysis can be achieved through simulink blocks and these blocks contains various numerical parameters through which the waveform can be generated. Evaluation of the robustness of the waveform can be determined using Waveform Co-variance Matrices(WCM) and Interference Covariance Matrix(ICM) over a uncertainty region. Derivation of this , will technically intimate the property of robustness for the generated waveform structure. These techniques involves certain parameters such as SINR(Signal to Noise Ratio), probability of detection and transmitted energy to address the optimal evaluation of receiver operating characteristics by representing the curves. The waveform's robustivity can be observed through these curves. Based on this, the Constant false alarm rate(CFAR) can be determined, which is the application of sequential target detection and estimation.
机译:本文说明了在存在杂波和噪声的情况下如何通过最坏情况检测分析评估传输波形的鲁棒特性以及目标检测的性能。在此,考虑将步进FM波形用于波形设计和分析。它的设计和分析可以通过simulink模块实现,这些模块包含各种数值参数,可以通过这些数值参数生成波形。可以使用不确定区域上的波形协方差矩阵(WCM)和干扰协方差矩阵(ICM)来确定波形的鲁棒性。对此的推导将在技术上增强所生成波形结构的鲁棒性。这些技术涉及某些参数,例如SINR(信噪比),检测概率和传输能量,以通过代表曲线来解决对接收器工作特性的最佳评估。通过这些曲线可以观察到波形的鲁棒性。基于此,可以确定恒虚警率(CFAR),这是顺序目标检测和估计的应用。

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