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A new method for joint estimation of delay and Doppler from ambiguity function: combination of stochastic process and spatial processing for noise and clutter suppression

机译:一种基于模糊函数联合估计时延和多普勒的新方法:随机过程与空间处理相结合的噪声和杂波抑制

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摘要

In this article, a new method is introduced for joint delay and Doppler estimation in ambiguity function (AF)-based radars. In this method, first each cell of AF is considered as a random variable and then a stochastic process is estimated for each cell based on its values during consecutive radar scans. In the second step, the AF is divided to high probability target and high probability clutter zones using parameters of the estimated stochastic processes. Finally, exact values of delay and Doppler of radar targets are extracted and localised from the divided AF by employing spatial processing techniques. Performance of the proposed method is evaluated in two different scenarios, corresponding to high and low speed targets, respectively. The obtained results show the greater ability of the suggested method in detection of the above types of targets compared to the present approaches. Furthermore, it can be shown mat the proposed method causes more considerable improvement in the detection of low speed targets than high speed targets compared to available methods.
机译:本文介绍了一种基于模糊函数(AF)的雷达联合时延和多普勒估计的新方法。在这种方法中,首先将AF的每个单元视为随机变量,然后根据连续雷达扫描期间每个单元的值来估计每个单元的随机过程。在第二步中,使用估计的随机过程的参数将AF划分为高概率目标区域和高概率杂波区域。最后,通过使用空间处理技术从分割后的自动对焦中提取并定位雷达目标的延迟和多普勒的精确​​值。在两种不同的情况下,分别对应于高速和低速目标,评估了该方法的性能。所获得的结果表明,与本方法相比,所提出的方法在检测上述类型的目标方面具有更大的能力。此外,可以看出,与高速目标相比,所提出的方法在低速目标的检测上引起了比高速目标更大的改进。

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