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

EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING 2020年第1期2020卷 28-28页

作者： Ning, Gengxin Jing, Guangyu Li, Xiaopeng Zhao, Xuejin South China Univ Technol Guangzhou Peoples R China Guangdong Univ Technol Guangzhou Peoples R China

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 ofRMSE(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.

关键词： 1D-DOA Velocity independent arbitrary cross-linear array Cramer-Rao bound

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A Velocity-independent DOA Estimator of Underwater Acoustic Signals via an arbitrary cross-linear Nested array

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CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2023年第2期42卷 996-1010页

作者： Ning, Gengxin Wang, Yu Jing, Guangyu Zhao, Xuejin South China Univ Technol Sch Elect & Informat Engn Guangzhou Peoples R China Guangdong Univ Technol Sch Econ & Commerce Guangzhou Peoples R China

In this paper, an estimator for underwater DOA estimation is proposed by using a cross-linear nested array with an arbitrary cross-angle. The estimator removes the acoustic velocity factor by deriving the geometric relation of the cross-linear array. Compared with conventional DOA estimation algorithms via a linear array, this estimator eliminates systematic errors caused by the uncertainty factor of the acoustic velocity in the underwater environment. In comparison with the conventional acoustic velocity-independent algorithm, this estimator uses the nested array and does not have to estimate the value of the acoustic velocity, which improves the performance of DOA estimation. Moreover, the proposed method is only slightly inferior to some of the conventional algorithms if the acoustic velocity is estimated accurately. Numerical simulations are provided to validate the analytical derivations and corroborate the improved performance in underwater environments where the actual acoustic velocity is not accurate.

关键词： Underwater DOA estimation Velocity-independent arbitrary cross-linear array Nested array

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