OFDM系統(tǒng)中一種改進(jìn)的信噪比估計(jì)算法
發(fā)布時(shí)間:2018-11-18 13:19
【摘要】:在OFDM系統(tǒng),SNR承擔(dān)著監(jiān)控信號(hào)質(zhì)量的責(zé)任。主要研究了基于LMMSE信道估計(jì)的信噪比估計(jì)。針對(duì)現(xiàn)有算法的復(fù)雜度高,信噪比估計(jì)有偏的問(wèn)題,提出了一種改進(jìn)的修正算法。該方法通過(guò)無(wú)偏的噪聲估計(jì)以及前后OFDM符號(hào)之間的迭代來(lái)實(shí)現(xiàn)快速收斂,并且直接利用LMMSE信道估計(jì)過(guò)程的系數(shù)來(lái)計(jì)算修正因子,計(jì)算復(fù)雜度低。經(jīng)仿真表明,所提方法在高SNR時(shí)估計(jì)精度可提高2dB,誤碼率也有0.3d B的提升。
[Abstract]:In OFDM system, SNR is responsible for monitoring signal quality. The signal-to-noise ratio (SNR) estimation based on LMMSE channel estimation is studied. In order to solve the problem of high complexity and biased SNR estimation, an improved modified algorithm is proposed. This method achieves fast convergence by unbiased noise estimation and iterations between OFDM symbols, and directly uses the coefficients of the LMMSE channel estimation process to calculate the correction factor. The computational complexity is low. The simulation results show that the proposed method can improve the estimation accuracy by 2 dB and the error rate by 0.3 dB at high SNR.
【作者單位】: 展訊通信(上海)有限公司;
【分類號(hào)】:TN929.53
[Abstract]:In OFDM system, SNR is responsible for monitoring signal quality. The signal-to-noise ratio (SNR) estimation based on LMMSE channel estimation is studied. In order to solve the problem of high complexity and biased SNR estimation, an improved modified algorithm is proposed. This method achieves fast convergence by unbiased noise estimation and iterations between OFDM symbols, and directly uses the coefficients of the LMMSE channel estimation process to calculate the correction factor. The computational complexity is low. The simulation results show that the proposed method can improve the estimation accuracy by 2 dB and the error rate by 0.3 dB at high SNR.
【作者單位】: 展訊通信(上海)有限公司;
【分類號(hào)】:TN929.53
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