SIGNAL PROCESSING: BROADBAND CROSS-CORRELATION TECHNIQUE DEVELOPMENT

NARROWBAND SPECTRAL ANALYSIS IS AN IMPORTANT SIGNAL PROCESSING APPROACH FOR THE DETECTION OF TARGETS/OBJECTS THAT MAY BE IMBEDDED IN VARIOUS TYPES OF NOISE BACKGROUNDS. HOWEVER, THE SPECTRA EMITTED BY MANY TARGETS/OBJECTS IS BROADBAND IN NATURE, AND REQUIRES A DIFFERENT SIGNAL PROCESSING APPROACH TO MAXIMIZE PROBABILITY OF DETECTION FOR A FIXED PROBABILITY OF FALSE ALARM. THE OBJECTIVE OF THIS STUDY IS TO DETECT/TRACK A TARGET WHICH EMITS FEW/NO DISCRETE TONALS, BUT DOES POSSESS SIGNIFICANT BROADBAND ENERGY. THE EMPHASIS IS ON DETECTING A TARGET WHERE THE OBSERVED SIGNAL CONTAINS AN UNKNOWN RANDOM PARAMETER, NAMELY DOPPLER; AND THE NOISE BACKGROUND IS ADDITIVE, WHITE AND GAUSSIAN. THE APPROACH PROPOSED IS BASED ON MAXIMIZING THE LIKELIHOOD FUNCTION.