  Recently, dual-function radar communication (DFRC) systems have been proposed
to integrate radar and communication into one platform for spectrum sharing.
Various signalling strategies have been proposed to embed communication
information into the radar transmitted waveforms. Among these, complex
beampattern modulation (CBM) embeds communication information into the complex
transmit beampattens via changing the amplitude and phase of the beampatterns
towards the communication receiver. The embedding of random communication
information causes the clutter modulation and high range-Doppler sidelobe.
What's more, transmitting different waveforms on a pulse to pulse basis
degrades the radar target detection capacity when traditional sequential pulse
compression (SPC) and moving-target detection (MTD) is utilized. In this paper,
a minimum mean square error (MMSE) based filter, denoted as joint range and
Doppler adaptive processing (JRDAP) is proposed. The proposed method estimates
the targets' impulse response coefficients at each range-Doppler cell
adaptively to suppress high range-Doppler sidelobe and clutter modulation. The
performance of proposed method is very close to the full-dimension adaptive
multiple pulses compression (AMPC) while reducing computational complexity
greatly.
