Underdetermined DOA estimation under the compressive sensing framework: A review
Direction of arrival (DOA) estimation from the perspective of sparse signal representation
has attracted tremendous attention in past years, where the underlying spatial sparsity …
has attracted tremendous attention in past years, where the underlying spatial sparsity …
Twenty-five years of sensor array and multichannel signal processing: A review of progress to date and potential research directions
In this article, a general introduction to the area of sensor array and multichannel signal
processing is provided, including associated activities of the IEEE Signal Processing Society …
processing is provided, including associated activities of the IEEE Signal Processing Society …
MISC array: A new sparse array design achieving increased degrees of freedom and reduced mutual coupling effect
Z Zheng, WQ Wang, Y Kong… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Recently, nested and coprime arrays have attracted considerable interest due to their
capability of providing increased array aperture, enhanced degrees of freedom (DOFs), and …
capability of providing increased array aperture, enhanced degrees of freedom (DOFs), and …
Remarks on the spatial smoothing step in coarray MUSIC
CL Liu, PP Vaidyanathan - IEEE Signal Processing Letters, 2015 - ieeexplore.ieee.org
Sparse arrays such as nested and coprime arrays use a technique called spatial smoothing
in order to successfully perform MUSIC in the difference-coarray domain. In this paper it is …
in order to successfully perform MUSIC in the difference-coarray domain. In this paper it is …
Cramér–Rao bounds for coprime and other sparse arrays, which find more sources than sensors
CL Liu, PP Vaidyanathan - Digital Signal Processing, 2017 - Elsevier
Abstract The Cramér–Rao bound (CRB) offers a lower bound on the variances of unbiased
estimates of parameters, eg, directions of arrival (DOA) in array processing. While there exist …
estimates of parameters, eg, directions of arrival (DOA) in array processing. While there exist …
DOA estimation exploiting sparse array motions
This paper utilizes sparse array motion to increase the numbers of achievable both degrees
of freedom (DOFs) and consecutive lags in direction-of-arrival (DOA) estimation problems …
of freedom (DOFs) and consecutive lags in direction-of-arrival (DOA) estimation problems …
ULA fitting for sparse array design
Existing sparse array (SA) geometries, such as coprime and nested arrays, can be regarded
as a concatenation of two uniform linear arrays (ULAs). Such arrays lead to a significant …
as a concatenation of two uniform linear arrays (ULAs). Such arrays lead to a significant …
Enhanced and generalized coprime array for direction of arrival estimation
J Shi, F Wen, Y Liu, Z Liu, P Hu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Owing to the large degrees of freedom and reduced mutual coupling by generating
difference coarrays, nonuniform linear arrays have aroused great interest in direction of …
difference coarrays, nonuniform linear arrays have aroused great interest in direction of …
Generalized non-redundant sparse array designs
We present novel generalized non-redundant sparse array design strategies that achieve
the highest possible number of degrees-of-freedom (DOFs) for direction-of-arrival (DOA) …
the highest possible number of degrees-of-freedom (DOFs) for direction-of-arrival (DOA) …
Improved uniform linear array fitting scheme with increased lower bound on uniform degrees of freedom for DOA estimation
Recently, a uniform linear array (ULA) fitting (UF) principle is proposed for sparse array (SA)
design using pseudo-polynomial equations. Typically, it is verified that the designed SAs via …
design using pseudo-polynomial equations. Typically, it is verified that the designed SAs via …