针对远距离红外探测目标信号的不确定性问题，提出一种稳健的红外信号匹配滤波新算法.定性分析了红外探测目标的有用信号谱畸变来源，基于巴什瓦定理建立了目标信号的不确定谱模型，并分析了信号谱畸变的相关因子.利用极大极小方法构建稳健匹配滤波的信噪比输出鞍点解，并基于内层极大和外层极小的二层遗传优化算法求解鞍点解和最不利信号频谱，采用经典匹配滤波设计方法得到稳健匹配滤波传输函数.仿真结果表明，弱背景噪音下稳健匹配滤波器的信噪比对接收信号畸变表现出不敏感特性，谱能量畸变的信噪比最大损失比例最高，谱相关峰畸变次之，谱相关畸变最少.

For infrared detection target signal uncertainty problem, a robust matched filter algorithm was presented. Based on Parceval theorem,the uncertain spectral model of infrared target signal was established by qualitative analyzing the target signal spectrum distortion source, and signal spectrum distortion associated factors were analyzed. The saddle-point solution for Signal-to-Noise of robust matched filtering was constructed using the minimax method, and the most negative signal spectrum was obtained with Genetic Algorithm of minimax bilevel optimization. Then transfer function of the robust matched filter was designed based on the classical matched filter. The simulation results show that Signal-to-Noise of robust matched filtering under low background noise can significantly eliminate the Signal-to-Noise over-sensitivity to the abnormal change of infrared input signal spectrum ,and spectral Signal-to-Noise compensatio in signal spectral is the highest to nenergy distortion, followed by correlation peak distortion, spectral related distortion to at least.