Results 21 to 30 of about 323 (173)
Enhanced CACIS configuration for direction of arrival estimation
Electronics Letters, 2022 In this letter, an enhanced coprime array with compressed inter‐element spacing is designed for direction of arrival estimation. First, we analyse and conclude that the 0th sensor of coprime array with compressed inter‐element spacing is redundant for ...
Yule Zhang +3 more
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IEEE Access, 2021 This paper develops and applies a numerical optimization procedure to compute broadband noise-adaptive weights for delay and sum beamforming that are conditioned to maximize the deflection coefficient at the output of a square law detector for a given ...
Kaushallya Adhikari +4 more
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Spatial Information and Performance Evaluation in Coprime Array [PDF]
Mathematical Problems in Engineering, 2020 In this paper, the mutual information between the received signals and the source in the coprime linear array is investigated. In Shannon’s information theory, the mutual information is used to quantify the reduction in the priori uncertainty of the transmitted message.
Ying Zhou +4 more
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IET Radar, Sonar & Navigation, 2023 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.
Youzhen Yang +3 more
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Beamforming with semi-coprime arrays [PDF]
The Journal of the Acoustical Society of America, 2019 A semi-coprime array (SCA) interleaves two undersampled uniform linear arrays (ULAs) and a Q-element standard ULA. The undersampling factors of the first two arrays are QM and QN, respectively, where M and N are coprime. The resulting non-ULA is highly sparse.
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Design of coprime DFT arrays and filter banks [PDF]
2014 48th Asilomar Conference on Signals, Systems and Computers, 2014 Coprime arrays offer degrees of freedom of O(MN) given O(M +N) sensors, where M and N are coprime integers. The performance of coprime arrays is based on coprime DFT filter banks (coprime DFTFBs), which cascade an M-channel DFTFB and an N-channel DFTFB to achieve MN-channel filter banks.
Chun-Lin Liu, P. P. Vaidyanathan
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Low-Complexity Propagator Based Two Dimensional Angle Estimation for Coprime MIMO Radar
IEEE Access, 2018 The problem of 2-D angle estimation for coprime multiple-input multiple-output (MIMO) radar is considered, and a low-complexity propagator based method is proposed.
Jianfeng Li, Defu Jiang
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Interpolation-Based Direction-of-Arrival Estimation for Coprime Arrays via Covariance Matrix Fitting
IEEE Access, 2020 Coprime arrays can highly increase degree-of-freedom (DOF) by exploiting the equivalent virtual signal. However, since the corresponding virtual array constructed by the coprime array is always a non-uniform linear array (non-ULA), most existing ...
Zhen Chen, Chongyi Fan, Xiaotao Huang
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IET Radar, Sonar & Navigation, 2023 To address the problems of traditional two‐level nested arrays (TTNA) with low degrees of freedom and high mutual coupling, a generalised two‐level nested MIMO radar array with high degrees of freedom and low mutual coupling for the direction of arrival (
Cong Qin +4 more
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International Journal of Antennas and Propagation, 2021 Aiming at low degrees of freedom (DOF) and high mutual coupling (MC) of the existing sparse arrays, an enhanced generalized nested array (EGNA) is proposed in this paper.
Yule Zhang +5 more
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