CAJ | 학술논문

信噪比是衡量信道质量的一个重要参数，该文主要研究LTE(Long Term Evolution)系统中基于探测参考信号(Sounding Reference Signal, SRS)的信噪比估计方法。针对DASS(Difference of Adjacent Subcarrier Signal)算法在高信噪比下噪声估计误差较大的这一缺点，该文提出一种适用于SRS的改进DASS方法。该方法通过重新定义子载波的差分方式，减小了噪声估计的误差，并且由于对连续的3个SRS频点，仅需要估计一次噪声，使得该文方法的复杂度仅为原DASS方法的1/3。仿真结果表明，所提方法的估计性能优于其余的方法，特别是在低时延和中等时延信道下，高信噪比时的估计精度提高了约10倍。
신조비시형량신도질량적일개중요삼수，해문주요연구LTE(Long Term Evolution)계통중기우탐측삼고신호(Sounding Reference Signal, SRS)적신조비고계방법。침대DASS(Difference of Adjacent Subcarrier Signal)산법재고신조비하조성고계오차교대적저일결점，해문제출일충괄용우SRS적개진DASS방법。해방법통과중신정의자재파적차분방식，감소료조성고계적오차，병차유우대련속적3개SRS빈점，부수요고계일차조성，사득해문방법적복잡도부위원DASS방법적1/3。방진결과표명，소제방법적고계성능우우기여적방법，특별시재저시연화중등시연신도하，고신조비시적고계정도제고료약10배。
The Signal-to-Noise Ratio (SNR) is an important parameter to measure the quality of the channel, this paper studies SNR estimation method based on Sounding Reference Signal (SRS) in the Long Term Evolution (LTE) system. Since the noise estimation error of Difference of Adjacent Subcarrier Signal (DASS) algorithm is larger in high SNR region, this paper presents an improved DASS method applicable to SRS. By redefining the differential mode of the subcarriers, the estimation error of the noise in this method is reduced, on the other hand, since the three consecutive SRS frequency points only need to estimate noise once, the complexity of the method is only 1/3 of the original DASS method. Simulation results show that the estimated performance of the proposed method is superior to the rest of the method, especially for the low-latency and medium-latency channel, estimation accuracy of the proposed method is improved by about 10 times in high SNR region.