应用相移技术和迭代算法的综合鉴别联合变换相关器

Phase-shifting Technique and Iterative Technique Applied to SDF Joint Transform Correlator

把相移技术和迭代算法应用到综合鉴别联合变换相关中,计算机模拟结果表明,运用了相移技术和迭代算法后这种相关器的光能效率和鉴别率得到了很大提高,实现了高鉴别率和高光能效率的综合鉴别光学模式识别.进一步研究了输入噪声对相关器性能的影响,相关的抗噪声能力有待提高.

A phase-shifting joint transform correlator with synthetic discriminant function is obtained by use of the Gram-Schmidt expansion approach and iterative technique to recognize a class of objects. Compared with the SDF-based classical joint transform correlator, the phase-shifting joint transform correlator delivers a better capability to give localized equal correlation peak heights for the same class of objects. The performance merits based on light efficiency and signal-to-clutter ratio are evaluated.