一种新的单通道时频重叠多分量信号联合参数估计方法

Lihui Pang, C. Qi
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引用次数: 5

摘要

本文提出了一种新的算法,主要研究单天线记录的时域和频域重叠的多分量信号的独立源周期和源数的估计。该方法采用将单通道记录矢量转化为虚拟多通道测量矩阵的技术,然后利用奇异值分解(SVD)方法对该矩阵进行分解。通过改变虚拟多通道测量矩阵,可以得到奇异值比(SVR)频谱。通过搜索SVR的峰值,可以有效地估计出独立分量的周期,并根据各估计分量之间的相关系数得到有用的SVD,从而得到原始源的个数。仿真结果验证了该算法的有效性。仿真结果表明,该方法在低信噪比条件下具有较高的估计精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel joint parameter estimation method of single-channel and time-frequency overlapped multi-component signal
In this paper, a novel algorithm is proposed, which focus on estimating the period of independent source and the source number of the multi-component signal that recorded by single antenna and overlapped both in time and frequency domain. The method adopts the technique of changing single-channel recording vector into virtual multi-channel measurement matrix, and then using Singular Value Decomposition (SVD) method decompose this matrix. By changing the virtual multi-channel measure matrix, singular value ratio (SVR) spectrum can be got. By searching the peaks of the SVR, the period of the independent components can be estimated effectively, and based on the correlation coefficient between each estimated components obtain useful SVD, then the number of original source will be got. The simulation results demonstrate the effectiveness of the algorithm. What is more, the high estimated accuracy of this method under low signal-noise-ratio (SNR) condition also illustrated by the simulation.
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