Low Complex Direction of arrival Estimation method based on Adaptive Filtering Algorithm

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dc.contributor.authorJalal, Babur
dc.contributor.authorYang, Xiaopeng
dc.contributor.authorIgambi, Denis
dc.contributor.authorHassan, Tehseen Ul
dc.contributor.authorAhmad, Zeeshan
dc.date.accessioned2022-10-31T17:23:51Z
dc.date.available2022-10-31T17:23:51Z
dc.date.issued2019
dc.description.abstractConventional 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.en_US
dc.identifier.citationJalal, B., Yang, X., Igambi, D., Ul Hassan, T., & Ahmad, Z. (2019). Low complex direction of arrival estimation method based on adaptive filtering algorithm. The Journal of Engineering, 2019(19), 6214-6217.https://doi.org/10.1049/joe.2019.0276en_US
dc.identifier.issn2051-3305
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/5075
dc.language.isoenen_US
dc.publisherThe Journal of Engineeringen_US
dc.titleLow Complex Direction of arrival Estimation method based on Adaptive Filtering Algorithmen_US
dc.typeArticleen_US
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