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针对毫米波雷达工作背景复杂、回波信号信杂比较低的情况，本文在对杂波信号双谱特性进行分析的基础上，提出一种基于双谱理论与假设检验思想的适用于强杂波下的目标识别方法。首先，对回波信号作双谱估计，然后根据回波双谱估计出杂波的分布，自适应地设定门限，以对双谱作相应处理，用于特征提取、目标识别。实验结果表明，经过处理的双谱抑制了大部分的杂波，保留了丰富的目标信息；识别系统在强杂波下仍然具有良好的识别结果。
Aiming at the complex working background of millimeter-wave radar and the low signal-to-noise ratio of echo signal, this paper presents a new method based on bispectral theory and hypothesis test, which is suitable for strong clutter Under the target recognition method. Firstly, the echoes are estimated based on bispectrum. Then, the distribution of clutter is estimated based on the echogram, and the threshold is set adaptively to deal with the bispectrum for feature extraction and target recognition. The experimental results show that the processed bispectrum suppresses most of the clutter and retains abundant target information. The recognition system still has good recognition results under strong clutter.