ACOUSTOOPTIC CYCLOSTATIONARY SIGNAL-PROCESSING

Cyclostationary signal-processing techniques implemented by means of a cousto-optics are considered. Cyclic-processing methods are reviewed a nd motivated, such as the cyclic correlation and the cyclic spectrum. It is shown that the cyclic correlation can be computed at cycle frequ encies of interest by use of one-dimensional time-integrating correlat ors in additive or multiplicative configurations. Detection of cycle f requencies is briefly considered, and a one-dimensional acousto-optic spectrum-analysis approach is described that is effective for amplitud e-modulated signals. The problem of computing the two-dimensional cycl ic correlation for all cycle frequencies and lags is then considered. This is accomplished by means of an acousto-optic triple-product proce ssor configured in a manner similar to that used for ambiguity-functio n generation. The cyclic spectrum can be obtained in a postprocessing step by Fourier transformation of the cyclic correlation in one dimens ion. Higher-order extensions of the cyclic correlation are also discus sed, and it is shown how a two-dimensional slice of the three-dimensio nal cyclic triple correlation can be computed by use of an acousto-opt ic four-product processor.