Abstract: To address the self-interference challenge in full-duplex unmanned aerial vehicle (UAV) communications, an iterative self-interference cancellation and channel equalization integrated algorithm is proposed. A discrete channel model for self-interference and inter-symbol interference (ISI) in a single-antenna full-duplex system is established. The MMSE estimation of received symbols under self-interference and ISI conditions with QPSK, 16QAM, and 64QAM modulated desired signals is derived, and a multistage algorithm along with its implementation structure which integrate self-interference cancellation and equalization is proposed. Simulations reveal that this integrated algorithm demands less hardware, reduces the delay caused by channel equalization in desired signal reconstruction, and achieves higher self-interference cancellation and quicker convergence. At an interference-to-noise ratio (INR) of 40 dB and a signal-to-noise ratio (SNR) of 25 dB for the desired signal, the proposed algorithm improves self-interference suppression by 1 dB and lowers the demodulation threshold by 3 dB compared to existing methods.