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.
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