仿真实验表明，该检测方法能在低信噪比环境中，以低虚警率对低速目标进行有效检测。
The simulation results show that the proposed method succeeds in detecting low speed target with low false alarm probability in low signal to noise ratio environment.
雷达信号的恒虚警率(CFAR)处理是现代雷达信号处理的重要内容。
The constant false alarm rate (CFAR) processing of radar signal is an important item of modern radar signal processing.
针对网络异常检测虚警率偏高的问题，提出了一种基于属性相似度云模型的网络异常检测新方法。
A new method for the anomaly detection based on the attributes similarity and the cloud model was proposed to alleviate the high false positive rate problem in the detection.
应用推荐