低误报率的ADS-B电文报头检测方法

ADS-B Message Preamble Detection Method with Lower False Alarm Rate

针对ADS-B电文报头检测中的误报问题,提出双门限报头检测方法。该方法根据本地报头与接收信号滑动相关的特点,分别针对关注信号与背景信号给出了恒虚警(CFAR)门限和半幅度门限,综合双门限进行两次检测判决可使方法适用于低信噪比环境,并在进行循环冗余校验之前显著地抑制误报。仿真结果表明,双门限检测方法在低信噪比区间具备与CFAR方法相似的检测性能,在高信噪比区间具有较低的平均样本误报概率。双门限检测方法是一种适用于高动态信噪比范围的具备误报抑制能力的ADS-B电文报头检测方法。

For the purpose of reducing the false alarms during the ADS-B message preamble detection,a double-threshold preamble detection method was proposed.The method analyzed the sliding relevant feature between the local preamble and the received signal,then given the Constant False Alarm Rate(CFAR)threshold and the half-amplitude threshold resrespectively for the focus signal and the background signal.By combining double threshold,the method was effective for low SNR environment and could significantly suppress false alarms before cyclic redundancy check.The simulation results showed that the double threshold detection method had similar detection performance to CFAR method in low SNR range and lower mean sample false alarm rate in high SNR range.The result of the present work implied that the double threshold detection method was an ADS-B message preamble detection method with false alarms suppression ability,which is applicable to a high dynamic SNR range.