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 …
Joint angle and doppler frequency estimation for MIMO radar with one-bit sampling: A maximum likelihood-based method
We consider a multiple-input multiple-output (MIMO) radar that works through one-bit
sampling of received radar echoes. The application of one-bit sampling significantly reduces …
sampling of received radar echoes. The application of one-bit sampling significantly reduces …
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 …
Clutter Characteristic Analysis and Grating Lobe Suppression for Distributed Small Satellite Space-Based Early Warning Radar
N Qiao, S Zhang, T Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The distributed small satellite space-based early warning radar (SBEWR) can increase the
azimuth-dimensional aperture size by using multiple smaller antennas. This article proposed …
azimuth-dimensional aperture size by using multiple smaller antennas. This article proposed …
The multi-level dilated nested array for direction of arrival estimation
Y Zhou, Y Li, C Wen - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, a more generalized dilated nested array (DNA) named multi-level dilated
nested array (multi-level DNA), which further extends the original DNA to the general …
nested array (multi-level DNA), which further extends the original DNA to the general …
Grid-less DOA estimation using sparse linear arrays based on Wasserstein distance
Sparse linear arrays, such as nested and co-prime arrays, are capable of resolving O (M2)
sources using only O (M) sensors by exploiting their so-called difference coarray model. One …
sources using only O (M) sensors by exploiting their so-called difference coarray model. One …
Robust space‐time adaptive processing for airborne radar with coprime arrays in presence of gain and phase errors
X Wang, Z Yang, J Huang - IET Radar, Sonar & Navigation, 2021 - Wiley Online Library
Abstract Space‐time adaptive processing (STAP) for sparse arrays such as coprime and
nested arrays is shown to have improved performance for clutter suppression in airborne …
nested arrays is shown to have improved performance for clutter suppression in airborne …
Cramér-Rao bound for DOA estimators under the partial relaxation framework: Derivation and comparison
M Trinh-Hoang, M Viberg… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
A class of computationally efficient DOA estimators under the Partial Relaxation (PR)
framework has recently been proposed. Conceptually different from conventional DOA …
framework has recently been proposed. Conceptually different from conventional DOA …
A Compressive Sensing Based Computationally Efficient High-Resolution DOA Estimation of Wideband Signals Using Generalized Coprime Arrays
Most recent state-of-the-art wideband direction of arrival (DOA) estimation techniques
achieve reasonable accuracy at the expenses of high computational complexity. In this …
achieve reasonable accuracy at the expenses of high computational complexity. In this …
Array-informed waveform design for active sensing: Diversity, redundancy, and identifiability
R Rajamäki, P Pal - arXiv preprint arXiv:2305.06478, 2023 - arxiv.org
This paper investigates the combined role of transmit waveforms and (sparse) sensor array
geometries in active sensing multiple-input multiple-output (MIMO) systems. Specifically, we …
geometries in active sensing multiple-input multiple-output (MIMO) systems. Specifically, we …