Radar detection in environments where the power and variability of interference hinders the location of targets is of great importance. Many efforts are directed towards the development of adaptive techniques that process the eco-signals in order to increase the detection quality and to maintain a constant false alarm rate (CFAR). In this context was conceived the radar detection in the moments space, which reduces the uncertainty and enhances the discriminatory ability for environments with low signal-to-interference ratios. The possibilities of this technique are extended by proposing a detector that preserves the constant false alarm rate under the natural changes of the interference. The new detector is called SM-CFAR (Statistical Moments - CFAR) and is based on the square of the Mahalanobis distance. The SM-CFAR will allow the radars to have a technique free of the parameter's distribution and with higher detection capability than those commonly used. Experiments with real signals demonstrate the superior performance of the SM-CFAR when compared to the CA-CFAR with non-coherent integration.

在干扰的功率和可变性阻碍目标定位的环境中进行雷达检测非常重要。许多努力致力于开发处理生态信号的自适应技术，以提高检测质量并保持恒定的误报率（CFAR）。在这种情况下，人们想到了在瞬间空间中进行雷达检测，从而降低了不确定性并增强了对低信噪比环境的辨别能力。通过提出一种在干扰自然变化下保持恒定误报率的检测器，扩展了该技术的可能性。新的检测器称为SM-CFAR（统计矩-CFAR），基于马氏距离的平方。SM-CFAR将使雷达具有无参数分布的技术，并具有比常用雷达更高的检测能力。实信号实验证明，与具有非相干集成的CA-CFAR相比，SM-CFAR具有优越的性能。