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Wi-Fi Direction Finding With Frequency-Scanned Antenna and Channel-Hopping Scheme
IEEE Sensors Journal, 2022A novel and simple technique for Direction of Arrival (DoA) estimation in 802.11 Wi-Fi networks is proposed. It is based on the use of a dual-port frequency-beam scanning antenna, which is connected to single MIMO access point.
A. Gil-Martínez +4 more
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Ship Detection and Direction Finding Based on Time-Frequency Analysis for Compact HF Radar
IEEE Geoscience and Remote Sensing Letters, 2021Ship detection at the sea surface is important for improving human marine activities. Most existing ship detection methods for high-frequency surface wave radar (HFSWR) are based on peak and constant false alarm rate (CFAR) detection and require a ...
Jiajia Cai +3 more
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IEEE Transactions on Aerospace and Electronic Systems, 2021
In sensor array processing, the minimum sensor/element-spacing is usually restricted within a half-wavelength in order to avoid estimation aliasing. This would cause sensor/element mutual coupling when antenna-electromagnetics are considered.
Jin He, Linna Li, Ting Shu
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In sensor array processing, the minimum sensor/element-spacing is usually restricted within a half-wavelength in order to avoid estimation aliasing. This would cause sensor/element mutual coupling when antenna-electromagnetics are considered.
Jin He, Linna Li, Ting Shu
semanticscholar +1 more source
Direction Finding and Performance Analysis With 1 bit Time Modulated Array
IEEE Transactions on Antennas and Propagation, 2021A novel single-channel direction finding (DF) method with spatial spectrum estimation is proposed based on 1 bit time-modulated array (TMA). Its performance is analyzed from theoretical derivation to numerical simulations and compared with other existing
Gang Ni +4 more
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Direction Finding in Bistatic MIMO Radar With Direction-Dependent Mutual Coupling
IEEE Communications Letters, 2021Mutual coupling (MC) effect exists extensively in sensor array, and it will adversely affect the direction finding in multiple-input multiple-output (MIMO) radar.
Jinlong Wu, Fang-qing Wen, Junpeng Shi
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Elevation and Azimuth Direction Finding by Two-Element Pattern Reconfigurable Antenna Array
IEEE Transactions on Antennas and Propagation, 2021An elevation and azimuth direction-finding (DF) method is presented by introducing the pattern reconfigurable antenna (PRA) into a two-element array. An equivalent multi-dimensional array is built by the two-element PRA array with switchable beams of ...
Ziheng Ding +3 more
semanticscholar +1 more source
A Performance Evaluation Framework for Direction Finding Using BLE AoA/AoD Receivers
IEEE Internet of Things Journal, 2020Bluetooth low energy (BLE) has been significantly contributed to the Internet of Things applications due to its advantages, such as low power consumption and scalability.
Cheng Huang +4 more
semanticscholar +1 more source
IEEE Transactions on Antennas and Propagation, 2020
A novel direction-finding method with time-modulated array (TMA) is proposed for modulating the echo linear frequency modulation (LFM) signal and analyzing its harmonic characteristics.
Jingfeng Chen +6 more
semanticscholar +1 more source
A novel direction-finding method with time-modulated array (TMA) is proposed for modulating the echo linear frequency modulation (LFM) signal and analyzing its harmonic characteristics.
Jingfeng Chen +6 more
semanticscholar +1 more source
Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004., 2005
This paper considers the problem of estimating directions of arrival (DOAs) from sensor-array data when the positions of the sensors are not precisely known. The proposed algorithm is an extension of a previously developed approach based on weighted subspace fitting.
Vaccaro, Richard J., Owsley, Norman L.
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This paper considers the problem of estimating directions of arrival (DOAs) from sensor-array data when the positions of the sensors are not precisely known. The proposed algorithm is an extension of a previously developed approach based on weighted subspace fitting.
Vaccaro, Richard J., Owsley, Norman L.
openaire +1 more source
Direction Finding Using Convolutional Neural Networks and Convolutional Recurrent Neural Networks
Signal Processing and Communications Applications Conference, 2020– In this paper, alternative direction finding methods have been proposed using deep learning techniques. Firstly, Regeression and Classification models have created by using Convolutional Neural Networks (CNNs).
Fehmi Ayberk Uckun +3 more
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