A method of formulating ternary-valued (-1,0,1) correlation filters based on the ratio of spectral energies of target and nontarget patterns is proposed, and performance of such filters is investigated by computer simulations of correlation. The results confirm the intuitive expectation that such filters can enhance signalto- clutter and discrimination performance for target recognition in the presence of large amounts of input noise. These filters may be viewed as an extension of binary phase-only filters and similarly are motivated by the prospect of near-term real-time implementation.

Ternary modulation can be achieved with a single SLM and improvedc orrelationd iscriminationc an bee xperimentally realized.

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The basic design elements of binary phase-only filters (BPOFs) include the angle of a thresholding line in the complex plane and the offset from a center reference point of the pattern transformed in constructing the filter. These factors are analyzed, and a general formalism for the threshold-line angle variation is presented and related to the special cases of cosine-, sine-, and Hartley-BPOFs and to the general characteristics of the BPOF impulse response. The effects of these elements on correlation performance are investigated using computer simulations with realistic target and clutter patterns. The results indicate significant, but not major, variations of correlation performance for the cases studied.

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