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High Resolution Multipath Time Delay Estimation Based on FLOCCS-ESPRIT 被引量:3
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作者 LIU Wen-hong QIU Tian-shuang +1 位作者 HU Ting-ting TANG Hong 《Journal of China University of Mining and Technology》 EI 2007年第1期30-34,共5页
The non-Gaussian α-stable distribution is introduced to model impulsive noise. Based on the theory of fractional lower order statistics (FLOS), the fractional lower order cross-covariance (FLOCC) sequence for two rec... The non-Gaussian α-stable distribution is introduced to model impulsive noise. Based on the theory of fractional lower order statistics (FLOS), the fractional lower order cross-covariance (FLOCC) sequence for two received signals is obtained and the fractional lower order cross-covariance spectrum (FLOCCS) can be approached by taking a Fourier transform for the FLOCC sequence. When the FLOCCS is treated as a sequence in the time domain, the problem of multipath time delay estimation (TDE) may be converted into one on multi-frequencies estimation or directions of arrival estimation. Accordingly, the high resolution multipath TDE can be realized with the ESPRIT technology. This idea on multipath TDE is referred to as FLOCCS-ESPRIT in this paper. Computer simulations show that this method has good performance both in a Gaussian noise and in an impulsive noise environment. 展开更多
关键词 signal processing multipath time delay estimation α-stable distribution FLOCC FLOCCS estimation signal parameter via rotational invariance techniques (ESPRIT)
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Multipath Time Delay Estimation Based on MUSIC Algorithm Under Small Sample Conditions
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作者 CHEN Meng XING Hongyan +1 位作者 WANG Haifeng WU Yeli 《Instrumentation》 2022年第4期58-66,共9页
On account of the traditional multiple signal classification(MUSIC)algorithm has poor performance in time delay estimation under the condition of small sampling data and low SNR.In this paper,the traditional MUSIC alg... On account of the traditional multiple signal classification(MUSIC)algorithm has poor performance in time delay estimation under the condition of small sampling data and low SNR.In this paper,the traditional MUSIC algorithm is improved.The algorithm combines the idea of spatial smoothing,constructs a new covariance matrix using the covariance information of the measurement data,and constructs a weighted value using the modified noise eigenvalues to weight the traditional estimation spectrum.Simulation results show that the improved algorithm has steeper spectral peaks and better time delay resolution under the condition of inaccurate path number estimation.The time delay estimation accuracy of this algorithm is higher than that of the traditional MUSIC algorithm and the improved SSMUSIC algorithm under the conditions of small sampling data and low SNR. 展开更多
关键词 multipath time delay estimation MUSIC Algorithm Spatial Smoothing
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