OFDM-MIMO radar with optimized nonequidistant subcarrier interleaving
Radar with digitally generated orthogonal frequency division multiplexing (OFDM) signals is
an emerging research field that has been studied for the past few years. Another trend for …
an emerging research field that has been studied for the past few years. Another trend for …
[PDF][PDF] Orthogonal frequency division multiplexing multiple-input multiple-output automotive radar with novel signal processing algorithms
G Hakobyan - 2018 - core.ac.uk
Orthogonal Frequency Division Multiplexing Multiple-Input Multiple-Output Automotive
Radar with Novel Signal Processing Algorith Page 1 Orthogonal Frequency Division …
Radar with Novel Signal Processing Algorith Page 1 Orthogonal Frequency Division …
Joint spectrum sensing and direction of arrival recovery from sub-Nyquist samples
S Stein, O Yair, D Cohen… - 2015 IEEE 16th …, 2015 - ieeexplore.ieee.org
Joint spectrum sensing and direction of arrival (DOA) estimation is often necessary in
communication applications, such as Cognitive Radio (CR). In this paper, we consider joint …
communication applications, such as Cognitive Radio (CR). In this paper, we consider joint …
Reduced time-on-target in pulse Doppler radar: Slow time domain compressed sensing
Pulse Doppler radars measure both the targets distance to the transceiver and their radial
velocity, through estimation of time delays and Doppler frequencies, respectively. This digital …
velocity, through estimation of time delays and Doppler frequencies, respectively. This digital …
Estimation of Doppler velocities from sub-Nyquist ultra-wideband radar measurements
T Sakamoto, A Matsuoka, H Yomo - IEEE Sensors Journal, 2016 - ieeexplore.ieee.org
Many conventional Doppler analysis techniques for radar sensors suffer from velocity
ambiguity when confronted with targets that are moving at speeds higher than the Nyquist …
ambiguity when confronted with targets that are moving at speeds higher than the Nyquist …
Angle-Doppler imaging based on compressive sensing in random PRF airborne radar
G Quan, Z Yang, J Huang, J Huang… - 2016 CIE International …, 2016 - ieeexplore.ieee.org
In this paper, a novel method based-on Doppler compressive sampling for the sparsity-
based space-time adaptive processing (STAP) is proposed. In our method, the radar …
based space-time adaptive processing (STAP) is proposed. In our method, the radar …
Sparsity-based space-time adaptive processing in random pulse repetition frequency and random arrays radar
G Quan, Z Yang, J Huang… - 2016 IEEE 13th …, 2016 - ieeexplore.ieee.org
In this paper, we focus on sparsity-based space-time adaptive processing (STAP) in
airborne radar with compressive sampling both in Doppler and spatial domains. Compared …
airborne radar with compressive sampling both in Doppler and spatial domains. Compared …
Deep Learning for Spectrum Sensing of Sub-Nyquist Sampled Signals
S Li, H Ji, L Li, J Lu - 2024 20th International Conference on …, 2024 - ieeexplore.ieee.org
Traditional Nyquist rate sampling faces significant challenges as communication technology
progresses towards 6G. Multi-coset sampling emerges as a viable solution by reducing the …
progresses towards 6G. Multi-coset sampling emerges as a viable solution by reducing the …
Space-time adaptive processing airborne radar with coprime pulse repetition interval
Y Ma, Z Yang, J Huang, J Huang… - 2016 CIE International …, 2016 - ieeexplore.ieee.org
In this paper, motivated by the success of coprime array in the direction-of-arrival (DOA)
estimation, we introduce the idea of coprime pulse repetition interval (PRI) into the space …
estimation, we introduce the idea of coprime pulse repetition interval (PRI) into the space …
A Novel Two‐Level Nested STAP Strategy for Clutter Suppression in Airborne Radar
W Wang, L Zou, X Wang - Mathematical Problems in …, 2019 - Wiley Online Library
Nested arrays have been studied recently in array signal processing field because of their
closed‐form expressions for the sensor locations and achievable degrees of freedom …
closed‐form expressions for the sensor locations and achievable degrees of freedom …