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Lett."],"published-print":{"date-parts":[[2026,7,15]]},"abstract":"<jats:p>Severe time-dependent fading caused by atmospheric turbulence remains a major bottleneck in spatial coherent communications. To address this, we propose and implement an FPGA-based two-aperture real-time MIMO adaptive equalizer for coherent digital combining. By innovatively adopting the non-circular symmetric constant modulus algorithm (NCS-CMA), the design eliminates traditional reconfiguration delays. It adaptively supports BPSK, QPSK, and 16QAM formats without requiring tap coefficient switching. To handle massive data throughput in multi-aperture systems, we detail the first systematic large-scale parallel DSP architecture, which seamlessly integrates I\/Q imbalance compensation, clock recovery, MIMO equalization, and frequency\/phase offset compensation. Experiments show that compared to a MIMO 2 \u00d7 1 setup, the proposed MIMO 4 \u00d7 2 equalizer achieves OSNR gains of \u223c2.8 dB, \u223c2.7 dB, and \u223c2.3 dB for BPSK, QPSK, and 16QAM, respectively. 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All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.","name":"copyright","label":"Copyright"}]}}