An information theoretic approach to source enumeration in array signal processing

Authors:
S. Valaee;P. Kabal
Affiliations:
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Ont., Canada;-
Venue:
IEEE Transactions on Signal Processing
Year:
2004

Citing 0
Cited 5

Subspace-based localization and inverse scattering of multiply scattering point targets

EURASIP Journal on Applied Signal Processing
Model order selection for short data: an exponential fitting test (EFT)

EURASIP Journal on Applied Signal Processing
Pareto-efficient and goal-driven power control in wireless networks: a game-theoretic approach with a novel pricing scheme

IEEE/ACM Transactions on Networking (TON)
Nonparametric detection of signals by information theoretic criteria: performance analysis and an improved estimator

IEEE Transactions on Signal Processing
Fast communication: A source enumeration method based on subspace orthogonality and bootstrap technique

Signal Processing

Quantified Score

Hi-index	35.69

Visualization

Abstract

In this paper, a new information theoretic algorithm is proposed for signal enumeration in array processing. The approach is based on predictive description length (PDL) that is defined as the length of a predictive code for the set of observations. We assume that several models, with each model representing a certain number of sources, will compete. The PDL criterion is computed for the candidate models and is minimized over all models to select the best model and to determine the number of signals. In the proposed method, the correlation matrix is decomposed into two orthogonal components in the signal and noise subspaces. The maximum likelihood (ML) estimates of the angles-of-arrival are used to find the projection of the sample correlation matrix onto the signal and noise subspaces. The summation of the ML estimates of these matrices is the ML estimate of the correlation matrix. This method can detect both coherent and noncoherent signals. The proposed method can be used online and can be applied to time-varying systems and target tracking.