小波变换在红外脉冲幅值序列算法中的应用

Application of Wavelet-Transform on IR-impulse Value Sequence Arithmetic

针对四元探测器信号处理中的脉冲幅值序列算法,提出了用小波变换进行序列数据分析和目标识别的方法。通过分析红外干扰弹的工作过程和其辐射能量变化与典型目标辐射的差异,选择db3小波函数对提取出的脉冲幅值序列进行小波分解和重构,有效地区分了目标信号和干扰弹信号,提高了四元探测器抗红外干扰和识别目标的能力。

Contra posed to IR-impulse value sequence arithmetic in the signal-processing of 4-unit IR Detector,a manner of analyzing sequence data and target recognition with wavelet-transform is proposed.By analyzing the working process of infrared decoy and energy variety differences between infrared decoy and typical targets,db3 wavelet function is chose to decompose and reconstruct the impulse value sequence.It distinguishes the target signal from decoy signal effectively,and improves the ability of anti-jamming and target recognition of 4-unit IR Detector.