Direction estimation in partially unknown noise fields

作     者：Göransson, B Ottersten, B 

作者机构：Royal Inst Technol Dept Signals Sensors & Syst Signal Proc Grp S-10044 Stockholm Sweden 

出 版 物：《IEEE TRANSACTIONS ON SIGNAL PROCESSING》 (IEEE Trans Signal Process)

年 卷 期：1999年第47卷第9期

页      面：2375-2385页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

主　　题：colored noise maximum likelihood sensor array processing source localization 

摘      要：The problem of direction of arrival estimation in the presence of colored noise with unknown covariance is considered, The unknown noise covariance is assumed to obey a linear parametric model. Using this model, the maximum likelihood directions parameter estimate is derived, and a large sample approximation is formed. It is shown that a priori information on the source signal correlation structure is easily incorporated into this approximate ML (AML) estimator. Furthermore, a closed-form expression of the Cramer-Rao bound on the direction parameter is provided. A perturbation analysis with respect to a small error in the assumed noise model is carried out, and an expression of the asymptotic bias due to the model mismatch is given. Computer simulations and an application of the proposed technique to a full-scale passive sonar experiment is provided to illustrate the results.