DOA estimation for wideband LFM signals with a few snapshots

被引：0
作者：
Deliang Liu
Zhuo Li
Xiwei Guo
Shen Zhao
机构：
[1] Shijiazhuang Mechanical Engineering College,Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission
[2] Tianjin Normal University,undefined
[3] College of Electronic and Communication Engineering,undefined
[4] Tianjin Normal University,undefined
来源：
EURASIP Journal on Wireless Communications and Networking | / 2017卷
关键词：
Direction of arrival; Fractional Fourier transform; Iterative approach; Wideband LFM;
D O I：
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学科分类号：
摘要：
The wideband linear frequency modulation (LFM) signals are widely used in information systems. The conventional direction-of arrival (DOA) estimation algorithms of LFM signals rely on a large number of snapshots, some of which are not reliable in numerous practical applications such as underwater array processing. To solve the above problem, we present a modified sparse iterative covariance (MSPICE)-based estimation method in fractional Fourier transform (FrFT) domain to estimate the DOA of wideband LFM signals. First, we extend the original SPICE algorithm in FrFT domain with a specific transform order for wideband LFM signals. Then, we utilize the energy centrobaric modification method to make the original SPICE more accurate without adding more computational complexity. The simulation results demonstrate the effectiveness of the proposed method.
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共 25 条
[1]  
Li Z(2011)MaPIT: An enhanced pending interest table for NDN with mapping bloom filter IEEE Commun. Lett. 18 1915-1918
[2]  
Liu K(2016)NDFB-GSM-R: a novel high-speed railway communication system via named data networking EURASIP J. Wirel. Commun. Netw. 48 1-5
[3]  
Zhao Y(2010)Source localization and sensing: a nonparametric iterative adaptive approach based on weighted least squares IEEE Trans. Aerosp. Electron. Syst. 46 425-443
[4]  
Li Z(2006)Ambiguity-function-based techniques to estimate DOA of broadband chirp signals IEEE Trans. Signal Process. 54 1826-1839
[5]  
Chen Y(2011)New method of sparse parameter estimation in separable models and its use for spectral analysis of irregularly sampled data IEEE Trans. Signal Process. 59 35-46
[6]  
Shi H(2008)Research progress on discretization of fractional Fourier transform Science in China Series F: Information Sciences 51 859-880
[7]  
Yardibi T(1999)Repeated filtering in consecutive fractional Fourier domains and its application to signal restoration IEEE Trans. Signal Process. 47 1458-1462
[8]  
Li J(1996)Digital computation of the fractional Fourier transform IEEE Trans. Signal Process. 44 2141-2150
[9]  
Stoica P(1982)Studies in astronomical time series analysis. II. Statistical aspects of spectral analysis of unevenly spaced data Astrophys. J. 263 835-853
[10]  
Xue M(undefined)undefined undefined undefined undefined-undefined
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