Improving Log-t CFAR Detector Performance in Weibull Clutter under Severe Interference Conditions

In radar signal processing, maintaining a Constant False Alarm Rate (CFAR) is essential for reliable target detection in varying environmental conditions. This paper introduces an improvement to the Log-t CFAR detector, known for its effectiveness in homogeneous clutter modeled by a Weibull distribution, guaranteeing a constant false alarm rate in different scenarios. However, its performance degrades considerably in the presence of interfering targets. In order to overcome this restriction, we propose a new architecture known as the Trimmed Mean (TM) Log-t CFAR detector. The proposed architecture has been extensively evaluated, and has shown a significant efficiency to maintain a constant false alarm rate under various clutter conditions and interference scenarios. In addition, it achieves an enhanced probability of detection, significantly improving radar detection performance in different environmental situations. The TM Log-t CFAR detector offers a promising solution for improving the reliability and efficiency of radar systems in difficult detection environments.