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Sidelobe blanking with integration and target fluctuation

机译:具有积分和目标波动的旁瓣消隐

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In radar systems, sidelobe blanking (SLB) is used to mitigate impulsive interference that enters the radar through sidelobes of the main antenna. SLB employs an auxiliary antenna channel with the output being compared with that of the main antenna channel and a decision is then made as to whether or not to blank the main channel output. SLB performance determination involves the evaluation of several probability functions. Based on the classical Maisel SLB architecture, this work extends previous performance results, in which detection was limited to the case of a single radar pulse with either Marcum or Swerling I target fluctuation. Probability expressions have been generalized to include both an arbitrary number of integrated pulses and target fluctuation models based on the gamma distribution. The Swerling fluctuation models are all special cases of the gamma distribution. Results are derived in terms of two generalized probability functions, one for detection and the other for blanking. With these generalized probability functions, the SLB design and performance results can be determined. Examples are presented and discussed.
机译:在雷达系统中,旁瓣消隐(SLB)用于减轻通过主天线旁瓣进入雷达的脉冲干扰。 SLB使用辅助天线信道,并将其输出与主天线信道的输出进行比较,然后确定是否将主信道输出消隐。 SLB性能确定涉及几个概率函数的评估。该工作基于经典的Maisel SLB体系结构,扩展了以前的性能结果,其中检测仅限于Marcum或Swerling I目标波动的单个雷达脉冲的情况。概率表达式已被概括为既包括任意数量的积分脉冲,又包括基于伽马分布的目标波动模型。 Swerling波动模型都是伽马分布的特例。根据两个广义概率函数得出结果,一个用于检测,另一个用于消隐。使用这些广义概率函数,可以确定SLB设计和性能结果。提出并讨论了示例。

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