Velocity-independent and low-complexity method for 1D DOA estimation using an arbitrary cross-linear array

This paper focuses on a low-complexity one-dimensional (1D) direction-of-arrival (DOA) algorithm with an arbitrary cross-linear array. This algorithm is highly accurate without the performance error usually caused by the uncertainty factor of the wave velocity in the underwater environment. The geom...

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Bibliographic Details
Published in:EURASIP journal on advances in signal processing Vol. 2020; no. 1; pp. 1 - 9
Main Authors: Ning, Gengxin, Jing, Guangyu, Li, Xiaopeng, Zhao, Xuejin
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 16.06.2020
Springer
Springer Nature B.V
SpringerOpen
Subjects:
1D-DOA
Algorithms
Analysis
Arbitrary cross-linear array
Complexity
Computer simulation
Cramer-Rao bound
Cramer-Rao bounds
Direction of arrival
Engineering
Linear arrays
Methods
Parameter estimation
Quantum Information Technology
Recent advances and applications of time-frequency signal analysis
Signal,Image and Speech Processing
Spintronics
Velocity
Velocity independent
Wave propagation
Wave velocity
Cramer-Rao bound
Arbitrary cross-linear array
1D-DOA
Velocity independent
ISSN:1687-6180, 1687-6172, 1687-6180
Online Access:Get full text
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Summary:This paper focuses on a low-complexity one-dimensional (1D) direction-of-arrival (DOA) algorithm with an arbitrary cross-linear array. This algorithm is highly accurate without the performance error usually caused by the uncertainty factor of the wave velocity in the underwater environment. The geometric relationship between two crossed linear arrays is employed to derive the expression of DOA estimation with the finding that this algorithm is capable of excluding the wave velocity variable in the DOA estimation expression. A method without parameter pairing is also proposed to reduce the complexity of this algorithm. Additionally, the influence of wave velocity is analyzed in terms of R M S E c and the Cramer-Rao bound (CRB) for 1D DOA with the arbitrary cross-linear array is established. The simulation results demonstrate that the proposed algorithm can achieve better performance than the traditional algorithm under the condition of an inaccurate estimate of wave velocity. Compared with the velocity-independent DOA algorithm, it exhibits the feature of low complexity.
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ISSN:1687-6180
1687-6172
1687-6180
DOI:10.1186/s13634-020-00687-2