A hybrid GA-RSM optimization process for coexistent SMSE waveform design

A hybrid GA-RSM optimization process is introduced for Spectrally Modulated, Spectrally Encoded (SMSE) waveform design in a coexistent environment containing a Direct Sequence Spread Spectrum (DSSS) system. Expanding upon previous efforts that used independent GA and RSM techniques under perfect DSSS code tracking conditions, a hybrid GA-RSM optimization process is demonstrated here under more realistic conditions with imperfect DSSS code tracking. Two SMSE waveform parameters (number of carriers and carrier bandwidth) are optimized in a coexistent scenario to characterize SMSE impact on Direct Sequence Spread Spectrum (DSSS) bit error rate (P_b). Hybrid optimization for minimum DSSS P_b yields SMSE waveforms that were consistent with scenarios having no coexistent SMSE signal present (best-case coexistence). Optimization for maximum DSSS P_b yields worst-case SMSE-DSSS coexistence with resultant SMSE waveforms being spectrally ldquomatchedrdquo to the DSSS signal.