2015
DOI: 10.1007/s11432-015-5445-0
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Joint number and DOA estimation via the eigen-beam mCapon method for closely spaced sources

Abstract: Articles you may be interested in 2-D spatial-spectrum estimation for wide-band signals without a priori knowledge of the number of sources Science in China Series E-Technological Sciences 39, 386 (1996); Joint diagonalization DOA matrix method Science in China Series F-Information Sciences 51, 1340 (2008); Joint frequency, 2-D DOA, and polarization estimation using parallel factor analysis Science in China Series F-Information Sciences 52, 1891 (2009); On the placement of actuators and sensors for flexible st… Show more

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Cited by 10 publications
(4 citation statements)
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References 5 publications
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“…To improve the resolution for DOA estimation in the presence of closely spaced sources, several approaches have been proposed in recent years, but these works are limited to uniform linear arrays (ULAs) [15], [16], [17], [18], [19], [20], [21]. Directional domain filtering was proposed by improving the SNR and rebuilding the covariance matrix [15].…”
Section: Introductionmentioning
confidence: 99%
“…To improve the resolution for DOA estimation in the presence of closely spaced sources, several approaches have been proposed in recent years, but these works are limited to uniform linear arrays (ULAs) [15], [16], [17], [18], [19], [20], [21]. Directional domain filtering was proposed by improving the SNR and rebuilding the covariance matrix [15].…”
Section: Introductionmentioning
confidence: 99%
“…However, it suffers from resolution loss if the DOAs of strong sources are not accurately estimated. e number of sources and the DOAs of weak sources can be jointly obtained from the Eigenbeam mCapon method [23]. Repeated iterations are employed at the cost of considerable computation complexity, and this is also true for the RELAX algorithm [24].…”
Section: Introductionmentioning
confidence: 99%
“…For broadband array models, traditional research has focused on wideband DOA estimation and wideband beamforming to optimize the channel capacity. The corresponding method is to maximize the received SNR or minimizing the signal estimation variance [ 21 , 22 ] . However, in the broadband array, maximizing the SNR might not guarantee the optimal delay estimation accuracy.…”
Section: Introductionmentioning
confidence: 99%
“…Meanwhile, due to the real-time requirements of application scenarios, angle estimation needs to be completed in a very short time such as moving cars or Unmanned-Aerial-Vehicles that have a Line-of-sight (LoS) channel with users [18][19][20] . This undoubtedly requires a high-precision, high-speed estimation method [17,[21][22][23][24] .…”
Section: Introductionmentioning
confidence: 99%