Abstract
This paper investigates the challenging problem of direction-of-arrival (DOA) estimation in impulsive noise and presents a fast iterative shrinkage-thresholding algorithm (FISTA)-based approach to tackle the difficulty. More specifically, the underlying noise is modelled as the superposition of outliers in the white Gaussian noise. Leveraging on the spot-sparse characteristic of the outlier matrix, the FISTA is conducted on each snapshot of the array output. With the estimated outlier matrix and the coarse on-grid DOA estimates, an alternating optimization method is developed to retrieve the final off-grid DOA estimates. Simulation results show that the proposed method outperforms existing methods in terms of resolution capability and estimation accuracy especially in severe noise environments.
Subject
General Earth and Planetary Sciences
Reference30 articles.
1. Johnson, D.H., and Dan, E.D. (1993). Array Signal Processing: Concepts and Techniques, Prentice-Hall.
2. Two decades of array signal processing research: The parametric approach;Krim;IEEE Signal Process. Mag.,1996
3. Multiple emitter location and signal parameter estimation;Schmidt;IEEE Trans. Antennas Propag.,1986
4. ESPRIT-estimation of signal parameters via rotational invariance techniques;Roy;IEEE Trans. Acoust. Speech Signal Process.,1989
5. Performance analysis of Root-Music;Rao;IEEE Trans. Acoust. Speech Signal Process.,1989
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献