Fast communication: DOA estimation for wideband signals based on sparse signal reconstruction using prolate spheroidal wave functions

Authors:
Nan Hu;Xu Xu;Zhongfu Ye
Affiliations:
-;-;-
Venue:
Signal Processing
Year:
2014

Citing 7
Cited 0

Prolate spheroidal wavefunctions as an alternative to Chebyshev and Legendre polynomials for spectral element and pseudospectral algorithms

Journal of Computational Physics
Algorithms for simultaneous sparse approximation: part I: Greedy pursuit

Signal Processing - Sparse approximations in signal and image processing
Block-sparse signals: uncertainty relations and efficient recovery

IEEE Transactions on Signal Processing
A sparse signal reconstruction perspective for source localization with sensor arrays

IEEE Transactions on Signal Processing - Part II
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit

IEEE Transactions on Information Theory
A Subspace Algorithm for WideBand Source Localization Without NarrowBand Filtering

IEEE Transactions on Signal Processing
Aliasing-Free Wideband Beamforming Using Sparse Signal Representation

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	0.08

Visualization

Abstract

The idea of block-sparse signal reconstruction, as an alternative perspective compared with the conventional approach, is exploited to formulate the problem of direction-of-arrival (DOA) estimation for wideband signals. Prolate spheroidal wave functions (PSWFs) are used to form the block-wise bases for this problem, due to its excellent performance in extrapolating bandlimited signals, and the block orthogonal matching pursuit (BOMP) algorithm is directly employed to verify its efficiency. Simulation results show that the proposed method yields better performance when the number of samples is highly limited.