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一种基于平均周期图的频域信噪比估计算法
胡冰舟,张蓉,雷维嘉,谢显中
0
(重庆邮电大学 移动通信技术重庆市重点实验室,重庆 400065)
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\[-16 dB,-6 dB\]时,估计均方误差不超过0.4 dB;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。
关键词:  通信信号处理  频域信噪比估计  平均周期图
DOI:
基金项目:国家自然科学基金资助项目(61271259,61301123);长江学者和创新团队发展计划资助项目(IRT1299)
A frequency-domain SNR estimation algorithm based on averaged periodogram
HU Bing-zhou,ZHANG Rong,LEI Wei-jia,XIE Xian-zhong
()
Abstract:
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.
Key words:  communication signal processing  frequency-domain SNR estimation  averaged periodogram