Results 41 to 50 of about 1,182,773 (87)
Research on Three‐Dimensional Autonomous Obstacle Avoidance Path Planning Methods for UAVs
Transactions on Emerging Telecommunications Technologies, Volume 37, Issue 2, February 2026.This study presents a three‐dimensional autonomous obstacle‐avoidance path planning method for unmanned aerial vehicles (UAVs) based on a deep reinforcement learning (DRL)‐enhanced Mayfly Algorithm. The traditional Mayfly Algorithm suffers from issues such as random initial population generation and slow convergence.
Chong Wu, Hao Cheng, Hua Wang
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Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation
, 2018 © 2018 IEEE. Coprime arrays can achieve an increased number of degrees of freedom by deriving the equivalent signals of a virtual array. However, most existing methods fail to utilize all information received by the coprime array due to the non ...
Yimin D. Zhang +11 more
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Thinned coprime array for second-order difference co-array generation with reduced mutual coupling [PDF]
, 2019 In this work, we present a new coprime array structure termed thinned coprime array (TCA), which exploits the redundancy in the structure of existing coprime array and achieves the same virtual aperture and degrees of freedom (DOFs) as the conventional ...
Raza, A.R., Liu, W., Shen, Q.
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An asymptotic local–global theorem on heights of some Kleinian group orbits
Journal of the London Mathematical Society, Volume 113, Issue 2, February 2026.Abstract We prove an asymptotic local–global theorem on the heights of point orbits of thin subgroups of Bianchi groups in H3$\mathbb {H}^3$.
Xuanxuan Xiao, Xin Zhang
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Random Structures &Algorithms, Volume 68, Issue 1, January 2026.ABSTRACT We study a random walk on the Lie algebra sl2(Fp)$$ {\mathfrak{sl}}_2\left({\mathbf{F}}_p\right) $$ where new elements are produced by randomly applying adjoint operators of two generators. Focusing on the generic case where the generators are selected at random, we analyze the limiting distribution of the random walk and the speed at which it
Urban Jezernik, Matevž Miščič
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DOA Estimation based on the Optimized Coprime Array Configuration
, 2019 In this paper, a direction-of-arrival (DOA) estimation based on the optimized coprime array (OpCA) configuration is proposed. The proposed array, utilizing the two constituting subarrays N-array and M-array of the coprime array, where their sensors are N
Xiangyu Yu, Ahmed Mohammed Ahmed Shaalan
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Families of Multidimensional Periodic Arrays With Large Peak Auto‐ to Cross‐Correlation Ratios
Electronics Letters, Volume 62, Issue 1, January/December 2026.We propose two new families of n‐dimensional periodic arrays for digital video watermarking constructed from shifted versions of a base array obtained by folding a ternary Sidelnikov sequence. The resulting arrays achieve peak autocorrelation of order p^(2l) and low non‐peak auto‐correlation and cross‐correlation of order pl$p^{l}$, for l≥n$l \ge n ...
Cesar Fernando Bolaños Revelo +1 more
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IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.This paper proposes a multitarget direct position determination (DPD) method for mobile single observation stations based on the second‐order difference coprime array (SODCA), which expands the virtual array aperture via redundant data averaging and adopts a three‐level covariance matrix reconstruction framework (zero‐interpolation, spatial smoothing ...
Hongzhen Wang +3 more
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DOA estimation method of spatial spectrum product for distributed coprime linear array
, 2021 Coprime array isAsparse array composed of two uniform linear arrays with different spacing. When the two subarrays are inAnon-coherent distributed configuration, the direction of arrival (DOA) method based on the covariance analysis of the complete ...
ZHANG Jingjing +7 more
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IET Signal Processing, Volume 2026, Issue 1, 2026.To address the issue that the traditional direct position determination (DPD) method for coprime arrays (CAs) has limited performance in scenarios with low signal‐to‐noise ratio (SNR) and small quantity of observation data, a progressive optimization method based on the averaging of redundant data from virtual array elements is proposed. This method is
Hongzhen Wang +4 more
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