Integrated range-Doppler map and extended target identification with adaptive waveform for cognitive radar

Abstract

In this paper, we propose an integrated scheme to identify an extended moving target while trying to correctly locate its peak range-Doppler cell. The scheme is extended to handle multiple target responses. The cognitive radar platform uses adaptive waveform based on the eigenwaveform. Two realtime adaptive waveforms called maximum a posteriori probability weighted eigenwaveform (MAP-PWE) and match-filtered PWE (MF-PWE) are combined with range-Doppler map (RDM) technique to execute target type identification for moving extended targets. Joint RDM cell localization and target identification performance comparison between a traditional pulsed wideband waveform, MAP-PWE, and MF-PWE techniques are shown. It is noted the MF-PWE performs better than the wideband and MAP-PWE.