用于雷达目标拦截的回波流

G. Smith, C. Baker, Gang Li
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引用次数: 4

摘要

本文演示了利用回波流的认知雷达如何进行目标拦截。“陶点”参数和不同回波流场的耦合决定了拦截性能。提出了tau点允许感知-行动循环的确定性实现的方式。提供了几个模拟实例,演示了拦截静止目标可能采取的不同方法。分析表明,在使用回波流时,至少需要24db的信噪比才能实现可靠的目标拦截。然而,脉冲积分被证明可以改善这种情况。最后给出了一个仿真示例,演示了如何在不改变底层处理的情况下拦截加速目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Echoic flow for radar target interception
This paper demonstrates how a cognitive radar exploiting echoic flow can perform target interception. The “taudot” parameter and the coupling of different echoic flow fields define interception performance. The manner in which tau-dot allows a deterministic implementation of the perception-action cycle is presented. Several simulated examples are provided demonstrating different approaches that may be take to intercept a stationary target. An analysis is provided to show that at least 24 dB of SNR is required for target interception to be reliable when using echoic flow. However, pulse integration is shown to improve this situation. Lastly a simulated example is provided that demonstrate how an accelerating target can also be intercepted without changing the underlying processing.
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