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提出基于小波变换的优化折中综合鉴别函数(OTSDF)滤波器(W_OTSDF)算法,对其进行优化设计,利用小波变换的多尺度与带通滤波特性,提高平面集成2f光学相关器的相关输出峰值强度和信噪比(SNR)。利用Matlab搭建系统的仿真模型,获取W_OTSDF滤波器的优化算法。仿真结果表明,在平面集成2f系统中对旋转、缩放以及旋转缩放同时存在的畸变目标进行识别时,优化设计的W_OTSDF滤波器较OTSDF滤波器在峰值相关能量比(PCE)、峰值旁瓣比(PSR)、SNR等整体性能指标方面均有较大提高。理论分析与仿真结果均表明W_OTSDF滤波器较OTSDF滤波器具有更好的识别效果。
This paper proposes an algorithm of W_OTSDF based on wavelet transform and optimizes its design. The multi-scale and band-pass filtering characteristics of wavelet transform are used to improve the correlation output peak of planar integrated 2f optical correlator Intensity and signal-to-noise ratio (SNR). Using Matlab to build the simulation model of the system, get the W_OTSDF filter optimization algorithm. The simulation results show that the optimal W_OTSDF filter has better performance than the OTSDF filter in terms of Peak Correlation Energy Ratio (PCE), Peak Sidelobe Ratio (Peak Sidelobe Ratio PSR), SNR and other overall performance indicators have been greatly improved. Theoretical analysis and simulation results show that the W_OTSDF filter has a better recognition effect than the OTSDF filter.