KR product and sparse prior based CNN estimator for 2-D DOA estimation
نویسندگان
چکیده
منابع مشابه
Wideband DOA Estimation with Interpolated Focusing KR Product Matrix
A new direction-of-arrival estimation method for uncorrelated wideband sources is proposed. Firstly, the covariance matrices of different frequency bins are transformed into higher dimensional vectors through Khatri-Rao product to produce the new models of the array outputs. Secondly, the higher dimensional noiseless signal subspace at each frequency is focused to a certain reference frequency ...
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A sparse-based direction-of-arrival (DOA) estimation recently gains a lot of attention due to its capability to reduce the number of samples significantly. However, this capability has to be paid by a heavy computation at the reconstruction side. Previous researches have addressed this problem, for example, by utilizing the unitary transform to change a complex-valued reconstruction problem to ...
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There is a problem that complex operation which leads to a heavy calculation burden is required when the direction of arrival (DOA) of a sparse signal is estimated by using the array covariance matrix. The solution of the multiple measurement vectors (MMV) model is difficult. In this paper, a real-valued sparse DOA estimation algorithm based on the Khatri-Rao (KR) product called the L₁-RVSKR is...
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ژورنال
عنوان ژورنال: AEU - International Journal of Electronics and Communications
سال: 2021
ISSN: 1434-8411
DOI: 10.1016/j.aeue.2021.153780