Synthesising multiple-pattern sparse linear array with accurate sidelobe control by the extended reweighted L1-norm minimisation
Sign Up to like & getrecommendations! Published in 2018 at "Electronics Letters"
DOI: 10.1049/el.2018.0333
Abstract: The problem of synthesising a sparse linear array with multiple patterns is formulated as an extended reweighted l 1 -norm minimisation with multiple convex constraints. Synthesis results show that the proposed method can find the… read more here.
Keywords: sparse linear; norm minimisation; extended reweighted; linear array ... See more keywords
A Parallelizable Algorithm for Stabilizing Large Sparse Linear Systems With Uncertain Interconnections
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3164250
Abstract: This paper proposes a new method for permuting sparse matrices into an upper block triangular from. The algorithm is highly parallelizable, which makes it suitable for large-scale systems with uncertain interconnection patterns. In such cases,… read more here.
Keywords: systems uncertain; stabilizing large; parallelizable algorithm; sparse linear ... See more keywords
Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2020.3036959
Abstract: Sparse signal recovery problems from noisy linear measurements appear in many areas of wireless communications. In recent years, deep learning (DL) based approaches have attracted interests of researchers to solve the sparse linear inverse problem… read more here.
Keywords: sparse linear; depth; approach; linear inverse ... See more keywords
Gridless Direction of Arrival Estimation Exploiting Sparse Linear Array
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3021276
Abstract: In this letter, a dual formulation of atomic norm minimization (ANM) approach is proposed by exploiting the vectorized covariance data of the signals received by the extended virtual array. Compared with the traditional ANM-based gridless… read more here.
Keywords: array; sparse linear; linear array; estimation ... See more keywords
A Robust and Statistically Efficient Maximum-Likelihood Method for DOA Estimation Using Sparse Linear Arrays
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2023.3280894
Abstract: A recent trend of research on direction-of-arrival (DOA) estimation is to localize more uncorrelated sources than sensors by using a proper sparse linear array (SLA) and the Toeplitz covariance structure, at a cost of robustness… read more here.
Keywords: doa estimation; likelihood; maximum likelihood; method ... See more keywords
Performance Portable Batched Sparse Linear Solvers
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2023.3249110
Abstract: Solving large number of small linear systems is increasingly becoming a bottleneck in computational science applications. While dense linear solvers for such systems have been studied before, batched sparse linear solvers are just starting to… read more here.
Keywords: batched sparse; performance; linear solvers; linear systems ... See more keywords
Direction of Arrival Estimation of Wideband Sources Using Sparse Linear Arrays
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3094718
Abstract: In this paper, we study the problem of wideband direction of arrival (DoA) estimation with sparse linear arrays (SLAs), where a number of uncorrelated wideband signals impinge on an SLA and the data is collected… read more here.
Keywords: sparse linear; frequency bins; linear arrays; estimation ... See more keywords
On the Performance of One-Bit DoA Estimation via Sparse Linear Arrays
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3122290
Abstract: Direction of Arrival (DoA) estimation using Sparse Linear Arrays (SLAs) has recently gained considerable attention in array processing thanks to their capability to provide enhanced degrees of freedom in resolving uncorrelated source signals. Additionally, deployment… read more here.
Keywords: sparse linear; performance; one bit; doa estimation ... See more keywords
Performance impact of precision reduction in sparse linear systems solvers
Sign Up to like & getrecommendations! Published in 2022 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.778
Abstract: It is well established that reduced precision arithmetic can be exploited to accelerate the solution of dense linear systems. Typical examples are mixed precision algorithms that reduce the execution time and the energy consumption of… read more here.
Keywords: performance; double precision; single precision; precision ... See more keywords