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Content Provider | IET Digital Library |
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Author | Jalal, Babur Yang, Xiaopeng Igambi, Denis Hassan, Tehseen Ul Ahmad, Zeeshan |
Abstract | Conventional subspace decomposition-based direction of arrival (DOA) estimation methods require eigenvalue decomposition of spatial covariance matrix, therefore these methods are computationally intensive, and their implementation is difficult in real-time applications. However, a DOA estimation method based on fixed step size least mean square (LMS) algorithm has overcome this deficiency but the suitable selection of step size is very difficult. A DOA estimation method based on the variable step size LMS algorithm is proposed in this article. In the proposed method, the step size is updated by using the estimated error signal. The spatial spectrum is obtained by the reciprocal of array pattern, where the peak values indicate the estimated DOAs of signals. The proposed method can provide better performance with low computational cost. The performance of proposed method is verified by the simulations and compared with some existing methods. |
Starting Page | 6214 |
Ending Page | 6217 |
Page Count | 4 |
Volume Number | 2019 |
e-ISSN | 20513305 |
Issue Number | Issue 19, Oct (2019) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/19 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0276 |
Journal | The Journal of Engineering |
Publisher | The Institution of Engineering and Technology |
Publisher Date | 2019-05-30 |
Access Restriction | Open |
Rights License | Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
Subject Keyword | Adaptive Filter Adaptive Filtering Algorithm Arrival Estimation Method Conventional Subspace Decomposition-based Direction Covariance Matrices Direction of Arrival Estimation DOA Estimation Method Eigen Values And Eigen Function Eigenvalue Decomposition Estimated Error Signal Filtering Method in Signal Processing Fixed Step Size Interpolation And Function Approximation Least Mean Squares Method Low Complex Direction Mean Square Algorithm Numerical Analysis Signal Processing And Detection Signal Processing Theory Spatial Covariance Matrix Statistics Variable Step Size LMS Algorithm |
Content Type | Text |
Resource Type | Article |
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