Increasing the Uniform Degrees of Freedom for Moving <i>q</i>-Dilated Arrays

Li, Shuang; Zhang, Xiao-Ping; Ruan, Ding-Liang; Zeng, Hao

doi:10.1109/jiot.2022.3200955

Cited by 9 publications

(1 citation statement)

References 43 publications

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“…[15][16][17] design different array structures that can improve the degree of freedom of moving sparse arrays and give their closed expressions. [18,19] propose the conditions and corresponding sampling methods for forming a hole-free differential co-array using a moving sparse array. However, the abovementioned moving sparse arrays are usually only used to estimate independent signals.…”

Section: Introductionmentioning

confidence: 99%

Coherent direction of arrival estimation based on low‐rank matrix recovery utilising L₂‐norm with moving coprime arrays

Yang,

Wang,

Cui

et al. 2023

IET Radar Sonar & Navi

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In this article, an effective algorithm is proposed for direction‐of‐arrival (DOA) estimation of coherent signals using the l2‐norm with moving coprime arrays. The proposed algorithm exhibits high accuracy and robustness in decorrelation of coherent signals compared to existing methods. Firstly, the received signal is filtered on the moving coprime array and a signal model is constructed that is compatible with the moving coprime array. Next, virtual sensors is inserted into the holes of the moving coprime array and the received signals are initialised. Then, the Toeplitz matrix is reconstructed based on the covariance matrix of the initial signal and perform low‐rank matrix recovery to eliminate signal coherence by compensating the matrix for zero. Finally, the DOA estimation for the signal is performed using spectral peak search. Simulation results verify that the estimation accuracy of our proposed algorithm outperforms various existing algorithms.

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