Abstract: To address the challenge of moving target detection in complex electromagnetic environments, this paper proposes a range-ambiguous clutter suppression method, termed the Phased Array-Frequency Diverse Array Clutter Suppression (PF-DACS) method, based on the cooperative operation of a Phased Array-Frequency Diverse Array (PA-FDA) dual-mode radar. This method establishes a closed-loop system for deep perception and dynamic optimization. Specifically, in the Frequency Diverse Array (FDA) operating mode, the separation of clutter from ambiguous range intervals is achieved in the transmit spatial frequency domain, enabling independent estimation of the clutter cross-covariance matrices (CCMs) for both unambiguous and ambiguous regions. On this basis, an enhanced CCM is reconstructed through a linear combination of the CCMs obtained from the separated range intervals. Subsequently, clutter suppression is performed by exploiting the high beamforming gain advantage of the Phased Array (PA) mode, effectively mitigating the detrimental impact of range-ambiguous clutter on detection performance. Simulation results demonstrate that the proposed method significantly improves the detection performance of moving targets in scenarios with range-ambiguous clutter.