caa a22 4500 606199209 CHVBK 20210128100937.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s11045-013-0239-2 doi (NATIONALLICENCE)springer-10.1007/s11045-013-0239-2 Novel methods of DOA estimation based on compressed sensing [Elektronische Daten] [Wei Zhu, Bai-Xiao Chen] Making use of the sparsity of targets, three novel direction of arrival (DOA) models based on compressed sensing (CS) theory are proposed. Covariance matrix CS, interpolated array CS and beam space CS carry out compressive sampling on covariance matrix, interpolated array and beam space, respectively. High-resolution DOA estimations are obtained through reconstruction of sparse signal by convex optimization problem resolution. The proposed methods are conceptually different from subspace-based methods and provide high resolution using a uniform linear array without restricting requirements on the spatial and temporal stationary and correlation properties of the sources and the noise. Results of both simulated data and measured data show that these methods are superior to conventional DOA methods in angular estimation performance. Springer Science+Business Media New York, 2013 Compressed sensing nationallicence Direction of arrival nationallicence Array signal processing nationallicence Zhu Wei National Key Lab of Radar Signal Processing, Xidian University, 710071, Xi'an, Shaanxi, China aut Chen Bai-Xiao National Key Lab of Radar Signal Processing, Xidian University, 710071, Xi'an, Shaanxi, China aut Multidimensional Systems and Signal Processing Springer US; http://www.springer-ny.com 26/1(2015-01-01), 113-123 0923-6082 26:1<113 2015 26 11045 https://doi.org/10.1007/s11045-013-0239-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11045-013-0239-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhu Wei National Key Lab of Radar Signal Processing, Xidian University, 710071, Xi'an, Shaanxi, China aut NATIONALLICENCE 700 1- Chen Bai-Xiao National Key Lab of Radar Signal Processing, Xidian University, 710071, Xi'an, Shaanxi, China aut NATIONALLICENCE 773 0- Multidimensional Systems and Signal Processing Springer US; http://www.springer-ny.com 26/1(2015-01-01), 113-123 0923-6082 26:1<113 2015 26 11045