Results 1 to 10 of about 6,381,999 (244)

Space alternating variational estimation based sparse Bayesian learning for complex‐value sparse signal recovery using adaptive Laplace priors

IET Signal Processing, 2023
Due to its self‐regularising nature and its ability to quantify uncertainty, the Bayesian approach has achieved excellent recovery performance across a wide range of sparse signal recovery applications.
Zonglong Bai, Liming Shi, Jinwei Sun, Mads Græsbøll Christensen   +3 more
doaj   +1 more source

Hole‐free sparse array for highly efficient direction of arrival estimation: Enhanced uniform difference co‐array

IET Radar, Sonar & Navigation, 2023
Sparse arrays with O(N) sensors can offer ON2 number of degrees of freedom by exploiting the difference co‐array that can be obtained from the second‐order statistics of received signals. In this article, a novel sparse array with seven subarrays (SA‐7S)
Baohua Zhang, Guangyi Liu, Ou Li, Zhixiang Shen, Fengtong Mei   +4 more
doaj   +1 more source

Design of a Digital Array Signal Processing System with Full Array Element

Remote Sensing, 2023
For the application of a digital array signal processing system with a high sampling rate and large bandwidth, and considering the constraints of limited resources (performance, volume, power consumption, weight, etc.), this paper proposes a design and ...
Guoyao Xiao, Yinghui Quan, Zongzheng Sun, Bo Wen, Guisheng Liao   +4 more
doaj   +1 more source

Velocity‐independent two‐dimensional direction‐of‐arrival estimation algorithm with three parallel linear arrays

IET Signal Processing, 2022
In order to eliminate the influence of acoustic velocity variable on the estimation accuracy when the signal propagates under water, this paper proposes a velocity‐independent two‐dimensional (2‐D) direction‐of‐arrival (DOA) estimation algorithm with ...
Gengxin Ning, Shujia Zhang, Jun Zhang, Cui Yang   +3 more
doaj   +1 more source

Wideband Array Signal Processing with Real-Time Adaptive Interference Mitigation

Sensors, 2023
Wideband beamforming and interference cancellation for phased array antennas requires advances in signal processing algorithms, software, and specialized hardware platforms.
Adam Whipple, Mark W. Ruzindana, Mitchell C. Burnett, Jakob W. Kunzler, Kayla Lyman, Brian D. Jeffs, Karl F. Warnick   +6 more
doaj   +1 more source

Resource allocation scheme of netted radar system for target localisation

IET Radar, Sonar & Navigation, 2023
In order to enhance the resource utilisation of the netted radar system, a receiving resource allocation (RRA) strategy for target localisation is developed in this article.
Jingjing Guo, Haihong Tao
doaj   +1 more source

A fast data-driven method for inverse microphone array signal processing [PDF]

JASA Express Letters, 2023
Microphone arrays have long been used to characterize and locate sound sources. However, existing algorithms for processing the signals are computationally expensive and, consequently, different methods need to be explored.
Can Kayser, Adam Kujawski, Ennes Sarradj
doaj   +1 more source

Research Progress on Coprime Array Signal Processing: Direction-of-Arrival Estimation and Adaptive Beamforming

Leida xuebao, 2019
Array signal processing is an essential tool in broad radar applications. The coprime array has recently been proposed to overcome the bottleneck caused by the Nyquist spatial sampling rate.
ZHOU Chengwei, ZHENG Hang, GU Yujie, WANG Yong, SHI Zhiguo   +4 more
doaj   +1 more source

Sparsity‐optimised farrow structure variable fractional delay filter for wideband array

IET Signal Processing, 2023
In this paper, a new sparsity‐optimised Farrow structure variable fractional delay (SFS‐VFD) filter is proposed to address the aperture effect in wideband array.
Wenjing Zhou, Mingwei Shen, Min Xu, Guodong Han, Yudong Zhang   +4 more
doaj   +1 more source

Source enumeration via RMT estimator with adaptive decision criterion based on linear shrinkage estimation of noise eigenvalues using relatively few samples

IET Signal Processing, 2022
Estimating the number of signals embedded in noise is a fundamental problem in array signal processing. The classic random matrix theory (RMT) estimator based on RMT does not consider the bias term of the expectation of the eigenvalue being tested, and ...
Huiyue Yi
doaj   +1 more source