针对非高斯噪声,提出基于小波变换的双模噪声背景下信号的检测。介绍双模过程的3种简化模型及概率密度曲线,阐述小波变换的基本概念,给出信号检测框图,利用小波可以在多尺度上对信号进行分解,将小波变换用于双模噪声背景下的信号检测,使用最优滤波器完成比较判断。实验结果表明,该方法能获得低的误码率。 Aiming at the non-Gaussian noise, the signal detection based on wavelet transform in dual-mode noise is proposed. Three simplified models and probability density curves of bimodal process are introduced. The basic concepts of wavelet transform are described. The signal detection block diagram is given. The signal can be decomposed at multiple scales by using wavelet transform. The wavelet transform is applied to the background of dual-mode noise Signal detection, the use of optimal filter to complete the comparison judge. Experimental results show that this method can achieve low bit error rate.