面向无人机全双工通信的多级自干扰抑制与均衡一体化算法

Integrated multistage self-interference cancellation and channel equalization for full-duplex UAV communication

  • 摘要: 针对无人机平台全双工通信中的自干扰抑制问题,提出一种迭代式多级自干扰抑制与信道均衡一体化算法,建立单天线全双工系统的自干扰与期望信号的符号间干扰信道模型,推导存在自干扰与QPSK,16QAM与64QAM调制期望信号符号间干扰条件下接收符号MMSE估计结果,并提出多级自干扰抑制与均衡一体化算法及其实现结构。仿真结果表明,多级自干扰抑制与信道均衡一体化算法需要更少的硬件资源,减小了重建期望信号时由信道均衡引起的延时,同时具有更高的自干扰抑制能力以及更快的收敛速度。当干扰噪声比固定为40 dB,期望信号信噪比为25 dB时,建议算法相比现有算法可以提升1 dB自干扰抑制能力,同时期望信号解调门限减小3 dB。

     

    Abstract: Addressing the self-interference challenge in full-duplex UAV communication, we introduce an iterative, integrated self-interference cancellation and channel equalization algorithm. This approach develops a discrete channel model for single-antenna full-duplex systems that accounts for both self-interference and inter-symbol interference (ISI) of the desired signal. It also presents an MMSE estimate for received QPSK, 16QAM and 64QAM symbols under these conditions and proposes an integrated algorithm for multistage cancellation and equalization, detailing its implementation.Simulations reveal that this integrated algorithm demands less hardware, minimizes delay from channel equalization in signal reconstruction, and achieves superior self-interference cancellation and quicker convergence. At an interference-to-noise ratio of 40 dB and a signal-to-noise ratio of 25 dB for the desired signal, the algorithm enhances suppression by 1 dB and lowers the demodulation threshold by 3 dB over current methods.

     

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