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作 者:苏丹[1,2] 涂亚庆[1] 沈艳林[1] 罗健源[3] 肖玮[1]
机构地区:[1]后勤工程学院信息工程系,重庆401311 [2]成都军区第三通信团,重庆400039 [3]重庆通信学院信息工程系信息栅格实验室,重庆400035
出 处:《仪器仪表学报》2014年第1期15-22,共8页Chinese Journal of Scientific Instrument
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
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。When the frequency estimation of short signal is performed under low SNR condition, traditional signal fu- sion method has the disadvantages, such as poor noise immunity and narrow applicable range. A frequency estimation method based on cross information fusion for different frequency signals is proposed to improve the frequency estima- tion accuracy and extend the applicable scope. To eliminate the influence of different frequencies of multi-segment signals on spectral analysis, the focusing matrixes are constructed to focus the multi-segment different frequency sig- nals to the same frequency and obtain the multi-segment same frequency signals. To utilize the signal information full- y, the cross information fusion is carried out according to the complementary information of the multi-segment signals in time and frequency domains, and the cross information fusion spectra are obtained. To improve the performance of variance ,the arithmetic mean value of the obtained cross information fusion spectra is calculated. Furthermore, the frequency estimation is achieved by searching for the spectral peak of the average cross information fusion spectrum. The simulation results show that the proposed method is superior in frequency estimation precision and applicable range in comparison with the existing methods, and the experiment results demonstrate the feasibility and effectiveness of the proposed method.
关 键 词:频率估计 异频信号 聚焦矩阵 交叉信息融合 线性调频连续波雷达
分 类 号:TN957[电子电信—信号与信息处理]
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