论文部分内容阅读
为了解决传统信噪比估计算法在多径信道下性能显著降低且复杂度较高的问题,提出一种基于空子载波的高性能信噪比估计算法.该算法联合数据辅助和非数据辅助的方法,利用空子载波进行噪声能量的估计,通过接收信号估计噪声与发送信号的能量之和.该算法不但能够在高斯信道下取得较好性能,而且可以提高系统在多径信道下的性能,对多普勒频移和信道时延扩展均不敏感.实验结果表明:与4种传统算法相比,该算法在多径信道下性能提升93.3%,并且具有较低的复杂度.
In order to solve the problem of traditional signal-to-noise ratio estimation algorithm with significantly reduced performance and high complexity under multipath channels, a novel high performance SNR estimation algorithm based on null subcarriers is proposed, which combines data-aided and non-data-aided methods , The use of blank subcarriers for noise energy estimation by receiving the signal to estimate the noise and the transmitted signal energy.The algorithm can not only get better performance in the Gaussian channel, and can improve the performance of the system in multipath channels, the more Preamble frequency shift and channel delay spread are insensitive.The experimental results show that compared with the four traditional algorithms, the performance of this algorithm is improved by 93.3% under multipath channel and has lower complexity.