A review of closed-form Cramér-Rao bounds for DOA estimation in the presence of Gaussian noise under a unified framework
The Cramér-Rao Bound (CRB) for direction of arrival (DOA) estimation has been extensively
studied over the past four decades, with a plethora of CRB expressions reported for various …
studied over the past four decades, with a plethora of CRB expressions reported for various …
Robust two-stage reduced-dimension sparsity-aware STAP for airborne radar with coprime arrays
Space-time adaptive processing (STAP) algorithms with coprime arrays can provide good
clutter suppression potential with low cost in airborne radar systems as compared with their …
clutter suppression potential with low cost in airborne radar systems as compared with their …
Sparse Bayesian learning for beamforming using sparse linear arrays
Sparse linear arrays such as co-prime and nested arrays can resolve more sources than the
number of sensors. In contrast, uniform linear arrays (ULA) cannot resolve more sources …
number of sensors. In contrast, uniform linear arrays (ULA) cannot resolve more sources …
Angle estimation for bistatic MIMO radar with a sparse moving array in the presence of position errors and gain-phase perturbation
S Luo, Y Wang, J Li, C Tellambura… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We recently extended the degrees of freedom for the bistatic multiple-input multiple-output
(MIMO) radar by exploiting sparse array motion at the receiver part, and considered the …
(MIMO) radar by exploiting sparse array motion at the receiver part, and considered the …
Direction-of-arrival estimation for nested acoustic vector-sensor arrays using quaternions
There is an increasing interest in direction-of-arrival (DOA) estimation using nested arrays
composed of vector sensors. Considering acoustic vector sensors (AVSs) commonly used in …
composed of vector sensors. Considering acoustic vector sensors (AVSs) commonly used in …
[HTML][HTML] Robust Direction Estimation of Terrestrial Signal via Sparse Non-Uniform Array Reconfiguration under Perturbations
R Lang, H Xu, F Gao - Remote Sensing, 2024 - mdpi.com
DOA (Direction of Arrival), as an important observation parameter for accurately locating the
Signals of Opportunity (SOP), is vital for navigation in GNSS-challenged environments and …
Signals of Opportunity (SOP), is vital for navigation in GNSS-challenged environments and …
Direction of arrival estimation in the presence of model errors by signal subspace matching
We present a novel solution to the problem of direction-of-arrival estimation, aimed at coping
with the critical problem of model errors. Unlike the existing approaches to this problem, the …
with the critical problem of model errors. Unlike the existing approaches to this problem, the …
Direction-of-arrival estimation via coarray with model errors
Direction-of-Arrival (DoA) estimation with Coarray can resolve O (N 2) sources via only O (N)
physical sensor elements. When it comes to model errors, ie, manual coupling, gain and/or …
physical sensor elements. When it comes to model errors, ie, manual coupling, gain and/or …
Generic FRI-based DOA estimation: A model-fitting method
Direction of arrival (DOA) estimation is a classical topic in source localization. Notably, a
reliable grid-free sparse representation algorithm, called FRI (finite rate of innovation) …
reliable grid-free sparse representation algorithm, called FRI (finite rate of innovation) …
Coprime-based Frame-Level Sensing OFDM Waveform for 5G NR Integrated Radar Sensing and Communication via Downlink Sensing
In fifth-generation (5G) new radio (NR) integrated sensing and communication (ISAC)
systems, the overhead of sensing time resources in waveform design is a key metric …
systems, the overhead of sensing time resources in waveform design is a key metric …