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中文摘要：
在信噪比估计算法中,频域估计法是一种经典算法。为了降低算法复杂度并在低信噪比条件下准确估计,在频域估计法的基础上,结合平均周期图的思想,通过分段运算、累加合并的方法,给出一种改进的频域信噪比估计法。仿真结果表明,在实际信噪比为[-16dB,-6dB]时,估计均方误差不超过0.4dB；通过与最大似然法仿真对比可知,该算法不受多普勒频移影响,应用范围更广。同时,该算法运算量少,复杂度低,易于在工程中实现。
英文摘要：
In Signal-to-Noise ratio （ SNR ） estimation algorithms, the frequency-domain estimation is a classical algorithm. To reduce complexity and estimate accurately in the condition of low SNR,this paper proposes an improved frequency-domain SNR estimation algorithm based on the Averaged periodogram by data striping operation and accumulation. The simulation results show that the estimated Mean Square Error （ MSE） of this method is less than 0. 4 dB when the actual SNR ranges from -16 dB to -6 dB. Compared with the maximum likelihood method, the proposed method is not affected by Doppler-shift and can be widely used. Also,it has less complexity,and can be implemented easily in practical projects.
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