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在超低频通信中,由于非高斯噪声的严重干扰,传统的基于高斯噪声的接收机的性能恶化。本文提出了一种在非高斯噪声环境下局部最优的接收机设计,具体推导了局部最优检测在非高斯噪声模型下的FFT快速实现算法,该算法充分利用了FFT算法在运算速度上的优势,大大降低了运算复杂度。非高斯噪声模型采用广泛应用的Class B统计物理模型。仿真实验表明,局部最优接收机性能明显优于传统的匹配滤波检测器,运算速度快且易于硬件设计实现,有很高的实用价值。
In ultra-low frequency communications, the performance of traditional Gaussian noise-based receivers deteriorates due to the severe interference of non-Gaussian noise. In this paper, a local optimal receiver design under non-Gaussian noise environment is proposed. The fast algorithm of FFT for local optimal detection under non-Gaussian noise model is deduced. This algorithm takes full advantage of the speed of FFT algorithm Advantages, greatly reducing the computational complexity. Non-Gaussian noise models use the widely used Class B statistical physics model. The simulation results show that the performance of the local optimum receiver is obviously better than that of the traditional matched filter detector. It has high computing speed and easy hardware design. It has high practical value.