Results 171 to 180 of about 2,236 (212)

2D Beamforming on Sparse Arrays with Sparse Bayesian Learning

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Sparse arrays such as co-prime and nested arrays can identify more sources than the number of sensors. This is because their difference co-arrays contain a uniformly spaced virtual array with more elements than the number of sensors in the array. In this paper we demonstrate this using two dimensional co-prime and nested sparse arrays combined with ...
Santosh Nannuru, Peter Gerstoft
openaire   +1 more source

Sparse beamforming for active underwater electrolocation

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
Weakly electric fish have the ability to navigate and locate prey in the dark using a unique weak electrosense system. Imitating that ability of electric fish, we develop an electric-field sensing system capable of high-resolution imaging of the surrounding environment, by use of a novel beamforming technique that exploits the sparsity of sources in a ...
Nam Nguyen 0002, Ingo Wiegand, Douglas L. Jones   +2 more
openaire   +1 more source

Convex compressive beamforming with nonconvex sparse regularization

The Journal of the Acoustical Society of America, 2021
The convex sparse penalty based compressive beamforming technique can achieve robust high resolution in direction-of-arrival (DOA) estimation tasks, but it often leads to an insufficient sparsity-inducing problem due to its convex loose approximation to ideal ℓ0 nonconvex penalty. On the contrary, the nonconvex sparse penalty can tightly approximate ℓ0
Yixin Yang, Zhaohui Du, Yong Wang, Xijing Guo, Long Yang, Jianbo Zhou   +5 more
openaire   +2 more sources

Optimum Configurations of Sparse Subarray Beamformers

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
The problem of optimum distribution of the available spatial degrees of freedom among two sparse antenna subarray beamfomers in shared aperture receiver is investigated. The two subarrays, forming a full array, co-exist on the same platform and could perform separate RF sensing and communications tasks.
Anastasios Deligiannis, Moeness G. Amin, Giuseppe Fabrizio, Sangarapillai Lambotharan   +3 more
openaire   +1 more source

From Sparse Channel to Sparse Beamforming: A 3D-MIMO Case

2015 IEEE Global Communications Conference (GLOBECOM), 2014
This paper investigates the beamforming for three- dimensional multiple input multiple output (3D-MIMO) systems with inaccurate channel state information (CSI). From the view of angle-domain, the 3D-MIMO channel is sparse on the high 3D resolution provided by planar antenna array with large number of antenna elements at the base station (BS) in 3D-MIMO
Hui Feng 0001, Shiyu Zhang, Kai Liu, Tao Yang 0008, Bo Hu 0002   +4 more
openaire   +1 more source

Sparse Bayesian learning for beamforming using sparse linear arrays

The Journal of the Acoustical Society of America, 2018
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 than the number of sensors. This paper demonstrates this using Sparse Bayesian learning (SBL) and co-array MUSIC for single frequency beamforming.
Santosh, Nannuru, Ali, Koochakzadeh, Kay L, Gemba, Piya, Pal, Peter, Gerstoft   +4 more
openaire   +2 more sources

Sequential sparse Bayesian learning for beamforming

The Journal of the Acoustical Society of America, 2021
A sequential Bayesian method for beamforming is presented for the estimation of the directions of arrivals (DOAs) of source signals which are varying over time. The sparse Bayesian learning (SBL) uses prior information of unknown source amplitudes as a multi-variate Gaussian with zero-mean and time-varying variance parameters. For sequential processing,
Yongsung Park, Florian Meyer, Peter Gerstoft   +2 more
openaire   +1 more source

Cognitive Wideband Beamforming for Sparse Array

2020 IEEE Radar Conference (RadarConf20), 2020
This paper deals with the constrained design of the weighting coefficients to achieve a desired receiving beampattern for wideband sparse phased array. A novel optimization model that minimizes beampattern peak sidelobe level in a space-frequency region of interest (SFRI) along with mainlobe level and weight coefficients quantitative restrictions is ...
Qinghui Lu, Ruitao Liu, Lifang Feng, Guolong Cui, Zhenghong Zhang, Lin Zhou   +5 more
openaire   +1 more source

Non-convex sparse beamformer

The Journal of the Acoustical Society of America
Sparse beamforming techniques, such as least absolute shrinkage and selection operator (LASSO) and fused least absolute shrinkage and selection operator (FL), underestimate source amplitude due to the soft-thresholding effect of the l1-norm regularization. For sparse beamforming, a new set of non-convex regularizers is introduced.
Jeunghoon Lee, Yongsung Park, Peter Gerstoft, Kyungjun Lee   +3 more
openaire   +2 more sources

Sparse Array Design for Transmit Beamforming

2020 IEEE International Radar Conference (RADAR), 2020
Sparse arrays are favored due to their inherent capability of optimizing the hardware and computational resources in executing the prescribed performance. The main emphasis on sparse array design thus far has been from the perspective of sparse receiver optimization. In this paper, we examine sparse array design for transmit beamforming.
Syed A. Hamza, Moeness G. Amin
openaire   +1 more source