A Novel Orthogonal Chaos-Based Radar Waveform with Optimized Receiver Filtering for Target Detection and Discrimination

To achieve the goal of finding radar signal waveforms for supporting target information and deducing sensor-independent attributes, we propose to use a novel chaos-based orthogonal radar signal waveform with matched-filter-like (or adaptive) pulse compression processing for improving target detection and discrimination. Recently introduced quasi-orthogonal waveforms based on chaotic systems possess many desirable characteristics such as high range-resolution, low range side-lobes and good peak to average transmit power ratios. Their wideband spectrum makes them robust to jamming and other countermeasures. In addition, the chaos-based waveforms possess the properties of more robust sensing, improved sensor SNR performance, improved clutter rejection, unambiguous detection capability, outstanding range resolution, and highly potential target identification. Especially, the capability of target identification is due to the embedded identity built in to the derivation of chaos-based signals from a chaos map over the chaos control parameters.