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Computationally Efficient Two-Dimensional DOA Estimation Algorithm Based on Quaternion Theory
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DOI：10.1109/LSP.2021.3106150.png)
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Abstract
En 中文
In this letter, we present a novel computationally efficient DOA estimation algorithm based on quaternion theory for two-dimensional (2-D) direction-of-arrival (DOA) estimation. An orthogonal propagator method based on the cross-correlation of the quaternion models (OPM-CQM) is developed to alleviate the computation burden. To eliminate the effect of additive noise, we construct two quaternion-based signal models judiciously. Then, we obtain the statistics of the observed signals by performing the cross-correlation between the quaternion models. Meanwhile, the additive noise is eliminated without introducing other denoising methods. Moreover, the compact modeling approach based on quaternions provides a significant advantage to OPM-CQM in terms of computational effort. Simulations demonstrate that the proposed algorithm offers performance superiority in angular resolution compared with the non-quaternion schemes.
Keywords:
Quaternions
Computational modeling
Direction-of-arrival estimation
Signal processing algorithms
Estimation
Covariance matrices
Additive noise
Quaternion
direction-of-arrival estimation
acoustic vector sensor
orthogonal propagator method
Journal
IF:
9.6
Papers:
1.1W
Citations:
1.7W
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