Results 51 to 60 of about 716,592 (222)

Direction-of-arrival estimation for constant modulus signals

IEEE Transactions on Signal Processing, 1999
In many cases where direction finding is of interest, the signals impinging on an antenna array are known to be phase modulated and, hence, to have a constant modulus (CM). This is a strong property; by itself, it is already sufficient for source separation and can be used to construct improved direction finding algorithms. We first derive the relevant
Leshem, A. (author), van der Veen, A.J. (author)   +1 more
openaire   +5 more sources

Amplitude Only Direction of Arrival Estimation

2023 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC), 2023
In this manuscript, we present a novel hardware concept for the estimation of the direction of arrival of electro-magnetic signals. An arrangement of two patch antenna arrays, tilted with respect to each other, is used to create a monotonic relationship between the DoA and the received power difference between both arrays.
MacHado, Gabriel G., Islam, Kd M. Raziul, Fusco, Vincent, Abbasi, M. Ali Babar   +3 more
openaire   +2 more sources

Analysis and optimization of an omnidirectional direction-finding system [PDF]

, 1970
System determines the direction of arrival of an electromagnetic wave with the direction information in a readily usable form.
Beste, J. M., Graf, E. R.
core   +1 more source

Direction of arrival estimation using robust complex Lasso

, 2016
The Lasso (Least Absolute Shrinkage and Selection Operator) has been a popular technique for simultaneous linear regression estimation and variable selection.
Ollila, Esa
core   +1 more source

The Anisotropy of Cosmic Ray Arrival Direction around 10^18eV [PDF]

, 1999
Anisotropy in the arrival directions of cosmic rays around 10^{18}eV is studied using data from the Akeno 20 km^2 array and the Akeno Giant Air Shower Array (AGASA), using a total of about 216,000 showers observed over 15 years above 10^{17}eV.
Collaboration, The AGASA, Hayashida, N., Honda, K., Inoue, N., Kadota, K., Kakimoto, F., Kakizawa, S., Kamata, K., Kawaguchi, S., Kawasaki, Y., Kawasumi, N., Kusano, E., Mase, K., Matsubara, Y., Minagawa, T., Murakami, K., Nagano, M., Nishikawa, D., Ohoka, H., Osone, S., Sakaki, N., Sasaki, M., Sasano, M., Shinozaki, K., Takeda, M., Teshima, M., Torii, R., Tsushima, I., Uchihori, Y., Yamamoto, T., Yoshida, S., Yoshii, H.   +31 more
core   +2 more sources

Controlling AoA Estimation Errors in Rician Fading via Measurement Quality Classification

IEEE Access
Angle of Arrival (AoA) estimation plays a crucial role in modern positioning systems but is often affected by errors in multipath channels. Existing methods typically lack a direct mechanism to assess the quality of the estimates, while full channel ...
Pedro Lemos, Glauber Brante, Ohara Kerusauskas Rayel, Richard Demo Souza   +3 more
doaj   +1 more source

Performance of Angle of Arrival Detection Using MUSIC Algorithm in Inter-Satellite Link

, 2018
An attitude of satellite is not always static, sometimes it moves randomly and the antenna pointing of satellite is harder to achieve line of sight communication to other satellite when it is outage by tumbling effect.
Muhammad, Cahya Budi, Setiawan, Antonius Darma, Wijanto, Heroe   +2 more
core   +1 more source

Modelling Aspects of Planar Multi-Mode Antennas for Direction-of-Arrival Estimation [PDF]

, 2019
Multi-mode antennas are an alternative to classical antenna arrays, and hence a promising emerging sensor technology for a vast variety of applications in the areas of array signal processing and digital communications. An unsolved problem is to describe
Almasri, Sami Alkubti, Dammann, Armin, Doose, Niklas, Hoeher, Peter A., Pöhlmann, Robert   +4 more
core   +2 more sources

Direction-of-Arrival Estimation over Sea Surface from Radar Scattering Based on Convolutional Neural Network [PDF]

, 2021
Xiuyi Zhao, Ying Yang, Kun‐Shan Chen
openalex   +1 more source

Spatially localized direction of arrival estimation

Proceedings : European Conference on Noise Control, 2018
Direction-of-arrival (DOA) estimation is a fundamental area of research in the field of array processing, as it applies in a variety of areas, including: sound field analysis, spatial sound reproduction and spatial filtering. There exists a plethora of DOA estimating algorithms, which all vary in terms of accuracy and computational complexity.
Delikaris-Manias, Symeon, McCormack, Leo, Pavlidi, Despoina, Mouchtaris, Athanasios   +3 more
openaire   +3 more sources