NDLI: Bearing estimation of coherent signals using compressive sampling array

Content Provider	IEEE Xplore Digital Library
Author	Yan Jing Naizhang Feng Yi Shen
Copyright Year	2014
Description	Author affiliation: Sch. of Inf. & Electr. Eng., Harbin Inst. of Technol. at Weihai, Weihai, China (Naizhang Feng) \|\| Dept. of Control Sci. & Eng., Harbin Inst. of Technol., Harbin, China (Yan Jing; Yi Shen)
Abstract	Compressive sampling (CS) is an attractive theory which can achieve sparse signals acquisition and compression simultaneously. Exploiting the sparse property in the spatial domain, the direction of arrival (DOA) of narrowband signals is studied by using compressive sampling measurements in the form of random projections of sensor arrays. The proposed approach, CS array DOA estimation based on eigen space (CSA-ES-DOA) uses a very small number of measurements to resolve the DOA estimation of the coherent signals and two closely adjacent signals. Theoretical analysis and simulation results demonstrate that the proposed approaches can maintain high angular resolution, low hardware complexity and low computational cost.
Starting Page	1221
Ending Page	1225
File Size	672499
Page Count	5
File Format	PDF
ISBN	9781467363860
DOI	10.1109/I2MTC.2014.6860938
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-12
Publisher Place	Uruguay
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Arrays Direction-of-arrival estimation Estimation Vectors Signal resolution Compressed sensing Multiple signal classification coherent signals direction of arrival compressive sampling array eigen space
Content Type	Text
Resource Type	Article

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