中文摘要：

为抑制峰值检测器提取的塔康峰值包络中野值的影响，提出了一种方位稳健估计算法。利用基于最大似然准则的 Huber 函数压缩大于门限的误差，减小野值在算法中的权重。并采用双重门限对 Huber 函数作了改进，消除较大野值的权重，对较小的野值进行压缩，给出了门限参数的选取依据。该方法不需要噪声的先验统计知识，能有效抑制野值的影响。仿真结果表明：所提算法的参数估计精度较传统的 Huber 估计器和最小二乘算法（Least Square）有明显提高，在3 dB 功率信噪比环境下，估计误差小于0.5°，满足塔康系统要求。

英文摘要：

In order to suppress the influence from the outliers in the peak envelop extracted by peak detec-tor,an azimuth estimation algorithm is proposed.The Huber function based on maximum likelihood crite-rion is utilized to suppress the error exceeding threshold and decrease the outliers＇weight in the algorithm. Furthermore,double thresholds are adopted to improve Huber function,eliminate the bigger outliers＇ weight,compress the smaller weight and provide a basis for selecting the threshold parameters.This method does not need the statistics of noise,and can effectively suppress the influence of the outliers.Sim-ulation results show that the accuracy of bearing parameter adopted by this algorithm is better than that of the ordinary Huber estimator and the least square algorithm.Under condition of the power SNR of 3 dB, the estimation error is less than 0.5°which meets the requirements of TACAN system .