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- W4319586140 abstract "The direction of arrival (DOA) estimation algorithm based on sparse reconstruction is a research focus in the field of signal processing. Considering the computational difficulty of <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$ell_{0}$</tex> norm optimization, various approximate <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$ell_{0}$</tex> norm optimization algorithms have been proposed. So far, the convex relaxation way, <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$ell_{1}$</tex> norm optimization algorithm for DOA estimation is widely researched due to its high resolution and stability. However, those convex methods have limitations in sparser solutions and computational complexity. In this regard, the algorithm proposed in this paper aim to solve above problems with <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$ell_{p}(0 < p < 1)$</tex> norm optimization. The proposed algorithm can resolve closely spaced and coherent signals using one snapshot in the presence of proper noise. Furthermore, adaptive <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$p$</tex> strategy is used to obtain more sparser solutions without losing stability. In addition, the proposed algorithm uses the accelerated quasi-Newton method, which leads to an improvement in computation time." @default.
- W4319586140 created "2023-02-09" @default.
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- W4319586140 date "2021-12-15" @default.
- W4319586140 modified "2023-09-28" @default.
- W4319586140 title "An Improved Smoothed $ell_{p}$ Norm Minimization Algorithm for Direction of Arrival Estimation" @default.
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- W4319586140 doi "https://doi.org/10.1109/radar53847.2021.10028584" @default.
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