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<p>During the last decades, radar target detection in presence of outliers has been extremely interested by many researchers. The authors propose a non-coherent Constant False Alarm Rate (CFAR) detector in homogeneous and in the presence of secondary targets within a Pareto type I clutter. The introduced CFAR algorithm named Weber-Haykin Weber-Haykin Order Statistic (WHWHOS) CFAR is derived from a general test statistic, which is expressed as a function of two different scale-invariant functions. These two non-negatives functions are selected firstly using OS-CFAR and WHWH-CFAR algorithms. Then, the resulting test statistic is given as a function of five ranked samples providing a fast calculation time. CFAR properties and detection performance of the WHWHOS-CFAR detector are assessed against existing CFAR procedures in both homogeneous and heterogeneous clutter scenarios. Monte-Carlo simulations demonstrate that the proposed CFAR detector maintains robustness in homogeneous and even in the presence of strong multiple interfering targets. Furthermore, the aforesaid WHWHOS-CFAR detector’s performance is verified using simulated and real IPIX (Intelligent PIXel X-band radar) data.</p>

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Adaptive CFAR thresholding in two parameter pareto type I model

  • 期刊论文

  • 发表日期：

    2025年6月26日

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  • Khaled Zebiri,
  • Amar Mezache

摘要

During the last decades, radar target detection in presence of outliers has been extremely interested by many researchers. The authors propose a non-coherent Constant False Alarm Rate (CFAR) detector in homogeneous and in the presence of secondary targets within a Pareto type I clutter. The introduced CFAR algorithm named Weber-Haykin Weber-Haykin Order Statistic (WHWHOS) CFAR is derived from a general test statistic, which is expressed as a function of two different scale-invariant functions. These two non-negatives functions are selected firstly using OS-CFAR and WHWH-CFAR algorithms. Then, the resulting test statistic is given as a function of five ranked samples providing a fast calculation time. CFAR properties and detection performance of the WHWHOS-CFAR detector are assessed against existing CFAR procedures in both homogeneous and heterogeneous clutter scenarios. Monte-Carlo simulations demonstrate that the proposed CFAR detector maintains robustness in homogeneous and even in the presence of strong multiple interfering targets. Furthermore, the aforesaid WHWHOS-CFAR detector’s performance is verified using simulated and real IPIX (Intelligent PIXel X-band radar) data.