诱导式欺骗干扰会使机载接收机偏离真实位置且不易被检测到，对民航飞行安全造成威胁。传统的新息序列检测算法存在欺骗检测延迟、无法及时检测欺骗结束时间的问题。针对这一问题，提出了基于指数加权移动平均（EWMA）控制图抗差估计的欺骗干扰检测算法。该算法将紧组合导航系统输出的新息序列作为EWMA控制图的检测样本，利用历史时刻的统计量和当前时刻的新息加权构造服从高斯分布的检验统计量来检测欺骗干扰，并识别受欺骗卫星。同时，利用抗差估计动态调整卡尔曼滤波的增益矩阵，以减小欺骗干扰对新息序列的影响，并通过改变等价权函数的参数加快算法欺骗检测的速度。仿真结果表明：与传统新息序列检测算法相比，所提算法明显缩短了对微小突变式欺骗干扰和缓变式欺骗干扰的检测时间，且能及时检测到欺骗结束时间。

The induced spoofing interference makes the airborne receiver deviate from the real position when it is not easy to be detected， which poses a threat to the safety of civil aviation flight. The traditional innovation sequence detection algorithm has the problem of spoofing detection delay and cannot detect the end time of spoofing in time. To solve this problem， a spoofing detection algorithm based on an Exponentially Weighted Moving Average （EWMA） control chart and robust estimation is proposed. The innovation sequence output by the tightly-coupled integrated navigation system is taken as the sample of EWMA control chart. The historical moment statistics and the current signal sequence weighting are employed to construct a test statistic following a Gaussian distribution to detect spoofing interference and identify the spoofed satellite. At the same time， the gain matrix is adjusted dynamically by using the robust estimation to reduce the influence of spoofing on the innovation sequence， and spoofing detection speed is accelerated by changing the parameters of the equivalent weight function. The simulation results show that comparing with the traditional innovation sequence detection algorithm， the proposed algorithm can obviously shorten the detection time of small mutation spoofing and slow change spoofing， and can detect the spoofing end time in time.