2014
DOI: 10.2528/pierc13110304
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Two-Dimensional Angles Estimation Method and Its Improved Methods for Single Source With a Sparse Array

Abstract: Abstract-Based on two orthogonal linear sparse arrays (LSA) which consist of the coupled-sensors (CSs), a high resolution and no ambiguity (HRNA) method is proposed to estimate the two-dimensional (2D) angles of single source. The HRNA method first constructs a new covariance matrix to achieve no ambiguity independent angles estimation by using the covariance matrix generated by each LSA, and then computes joint elevation and azimuth angles by utilizing both the estimated independent angles and triangular rela… Show more

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“…Then, another method was applied to pair up these estimated elevation and azimuth angles [1][2][3][4][5][6][7]. Other methods were also developed in which the elevation and azimuth angles were estimated jointly without the need for any pairing technique; these methods require the use of two ULAs [1,[8][9][10][11]. As depicted by Figure 1, for the -shaped ULAs, one ULA will be placed on one axis ( -axis) and the other will be placed on a perpendicular axis ( -axis).…”
Section: Introductionmentioning
confidence: 99%
“…Then, another method was applied to pair up these estimated elevation and azimuth angles [1][2][3][4][5][6][7]. Other methods were also developed in which the elevation and azimuth angles were estimated jointly without the need for any pairing technique; these methods require the use of two ULAs [1,[8][9][10][11]. As depicted by Figure 1, for the -shaped ULAs, one ULA will be placed on one axis ( -axis) and the other will be placed on a perpendicular axis ( -axis).…”
Section: Introductionmentioning
confidence: 99%