异频信号的交叉信息融合频率估计方法

发布时间：2018-11-21 16:18

【摘要】：对低信噪比条件下的短时信号进行频率估计时,传统信号融合法存在抗噪性差、适用范围窄等不足,为此提出一种异频信号的交叉信息融合频率估计方法以提高频率估计精度、扩展适用范围。为消除多段信号频率不等对频谱分析的影响,构造聚焦矩阵,使多段异频信号聚焦到同一频率处得到多段同频信号;为充分挖掘信息资源,按照各段信号在时域和频域上的互补信息进行交叉信息融合,获得交叉信息融合频谱;为改善方差性能,对所求交叉信息融合频谱作算术平均,实现频率估计。实验结果表明,与现有方法相比,该算法在扩展算法适用范围的同时提高了频率估计精度,验证了该算法的可行性和有效性。
[Abstract]:In order to improve the accuracy of frequency estimation, the traditional signal fusion method has some shortcomings, such as poor noise resistance and narrow range of application, when the frequency of short-time signal is estimated under low signal-to-noise ratio (SNR). In order to improve the accuracy of frequency estimation, a cross-information fusion frequency estimation method for different frequency signals is proposed. Extend the scope of application. In order to eliminate the influence of different frequencies of multi-segment signals on spectrum analysis, a focusing matrix is constructed to obtain multi-segment signals of the same frequency by focusing multi-segment different frequency signals at the same frequency. In order to fully mine the information resources, the cross-information fusion is carried out according to the complementary information in time domain and frequency domain, and the spectrum of cross-information fusion is obtained. In order to improve the performance of variance, the arithmetic average of the cross-information fusion spectrum is made and the frequency estimation is realized. Experimental results show that the proposed algorithm not only extends the range of application of the algorithm, but also improves the accuracy of frequency estimation, and verifies the feasibility and effectiveness of the algorithm.
【作者单位】：后勤工程学院信息工程系;成都军区第三通信团;重庆通信学院信息工程系信息栅格实验室;
【基金】：国家自然科学基金(61302175,61271449) 重庆市自然科学基金(CSTC2011BA2015,CSCT2012jjA0877)资助项目
【分类号】：TN911.7

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