A simple method of removing the zero order in a joint transform power spectrum, i.e., using the nonzero-order joint transform power spectrum (N0JTPS), is discussed. We show that the nonzero-order joint transform correlator (N0JTC) performs better than the conventional joint transform correlator (CJTC). In short, the N0JTC offers high detection efficiency, better input pixel utilization, and avoidance of false alarms due to multitarget intermodulation. Simulated and experimental demonstrations are provided.
The use of a simulated annealing algorithm to design quantized composite reference function (QCRF) filters is presented. Since the QCRF filters are spatial domain filters using finite quantization levels, they can be implemented at the output spatial light modulator of a joint transform correlator. The performance of the QCRF filters has been tested, in which we have shown that the detectability, accuracy, discriminability, and reliability improve as the quantization of the filter increases.
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