The sparse array design problem is formulated in terms of maximizing the output signal-to-interference-plus-noise ratio (SINR) of the MVDR and LCMV beamformers. The constrained maximization problem is expressed as the fraction of matrix determinants, and a sequential convex programming algorithm is...
Statistics Theory and Sparse Compressive Sensed Signals Reconstruction," IET Signal Processing, Special issue on Compressive Sensing and Robust Transforms, May,... S Stankovic,T Thayaparan,M Amin,... 被引量: 0发表: 2017年 Time-frequency-based instantaneous frequency estimation of sparse signals from...
Multipath matching pursuit using a cross-validation technique for sparse direction-of-arrival estimation with an acoustic vector array which ultimately leads to poor performance when using high-resolution DOA estimation technologies based on the covariance matrix of the received signal.On the... P Tan...
Soft-decision-driven sparse channel estimation and turbo equalization for MIMO underwater acoustic communications IEEE Access (2018) J. Li et al. Efficient use of space-time clustering for underwater acoustic communications IEEE J Oceanic Eng (2018) M. Stojanovic et al. Underwater acoustic communica...
Monte-Carlo simulation results are also provided to demonstrate the effectiveness and behavior of the proposed algorithm. This is a preview of subscription content, log in via an institution to check access. Similar content being viewed by others Block Sparse Recovery Approach for DOA Estimation in...
Robust Sparse Array Design for Adaptive Beamforming Against DOA Mismatch
Shi, L. Huang, and H. C. So, "Underdetermined DOA estimation for wideband signals using robust sparse covariance fitting," IEEE Signal Process. Lett., vol. 22, no. 4, pp. 435-439, Apr. 2015.Underdetermined DOA estimation for wideband signals using robust sparse covariance fitting. He ...
joint-sparse recoveryCCD algorithmoutliersdirection-of-arrival (DOA) estimationThe problem of row-sparse signal reconstruction for complex-valued data with outliers is investigated in this paper. First, we formulate the problem by taking advantage of a sparse weight matrix, which is used to down-...
OF-ARRIVAL ESTIMATIONLOCALIZATIONGENERATIONESPRITARRAYThis paper describes a robust sparse Bayesian learning approach for DOA estimation in the presence of impulsive noise. In practical situations, impulses in the noise often appear in bursts, resulting in structured rather than independent sparsity, which ...
In this work, we explore the potential of sparse recovery algorithms for localization and tracking the direction-of-arrivals (DOA) of multiple targets using a limited number of noisy time samples collected from a small number of sensors... Mashud Hyder,K Mahata - Springer Berlin Heidelberg 被引...