Results 41 to 50 of about 13,266 (201)
Power-Based Direction-of-Arrival Estimation Using a Single Multi-Mode Antenna
, 2017 Phased antenna arrays are widely used for direction-of-arrival (DoA) estimation. For low-cost applications, signal power or received signal strength indicator (RSSI) based approaches can be an alternative. However, they usually require multiple antennas,
Dammann, Armin +3 more
core +1 more source
Research Progress in Methods to Estimate High-resolution Direction of Arrival
水下无人系统学报With the widespread application of array signal processing, the estimation of direction of arrival(DOA) as the core problem of array signal processing has made significant progress.
Wei ZHAO, Xuan LI, Chengpeng HAO
doaj +1 more source
Sidelobe Suppression for Robust Beamformer via The Mixed Norm Constraint [PDF]
, 2011 Applying a sparse constraint on the beam pattern has been suggested to suppress the sidelobe of the minimum variance distortionless response (MVDR) beamformer recently.
Liu, Yipeng, Wan, Qun
core +1 more source
Joint ML calibration and DOA estimation with separated arrays
, 2016 This paper investigates parametric direction-of-arrival (DOA) estimation in a particular context: i) each sensor is characterized by an unknown complex gain and ii) the array consists of a collection of subarrays which are substantially separated from ...
Boyer, Rémy +4 more
core +3 more sources
FPGA-based real-time implementation for direction-of-arrival estimation
The Journal of Engineering, 2017 Direction-of-arrival (DOA) estimation of radio signals is of utmost importance in many commercial and military applications. In this study, the authors propose an efficient field-programmable gate array (FPGA) architecture for implementing a recently ...
Abdulrahman Alhamed +6 more
doaj +1 more source
Target DoA estimation in passive radar using non-uniform linear arrays and multiple frequency channels [PDF]
, 2018 In this paper we present a robust approach for target direction of arrival (DoA) estimation in passive radar that jointly exploits spatial and frequency diversity. Specifically we refer to a DVB-T based passive radar receiver equipped with a linear array
Cardinali, Roberta +3 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
An APG-MUSIC Algorithm Based-on Optimized Sampling Array
MATEC Web of Conferences, 2018 This paper proposes a novel two-dimensional direction of arrival (2D-DOA) estimation with optimized sparse sampling array, which is combined with Accelerated Proximal Gradient singular value thresholding(APG) and Multiple Signal Classification(MUSIC ...
Li Mengxia +3 more
doaj +1 more source
A Novel Method for DOA and Time Delay Joint Estimation in Multipath OFDM Environment
International Journal of Antennas and Propagation, 2020 Joint time delay and direction of arrival estimation based on uniform linear arrays in Orthogonal Frequency Division Multiplexing (OFDM) systems has to face the problems posed by coherent multipath environments and high computational complexity.
Xiangzhi Li +4 more
doaj +1 more source
Research progress on the depth of anesthesia monitoring based on the electroencephalogram
Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley +1 more source