reduction of cramer-rao bound in arbitrary pre-designed arrays using altering an element position
نویسندگان
چکیده
simultaneous estimation of the range and the angle of close emitters usually requires a multidimensional search. this paper proposes analgorithm to improve the position of an element for arrays designed on the basis of some certain or random rules. in the proposed method,one element moves along the same previous direction, maintaining its vertical distance from each source, to reach a constellation with lesscramer-rao bound (crb). the efficiency of this method has been demonstrated through simulation and a comparative study has beenconducted, contrasting both the crb and the determinant of the received signal’s covariance matrix before and after applying our proposedscheme.
منابع مشابه
Reduction of CRB in Arbitrary Pre-designed Arrays Using Alter an Element Position
Simultaneous estimation of range and angle of close emitters usually requires a multidimensional search. This paper offers an algorithm to improve the position of an element of any array designed on the basis of some certain or random rules. In the proposed method one element moves on its original direction, i.e., keeping the vertical distance to each source, to reach the constellation with les...
متن کاملReduction of CRB in Arbitrary Pre-designed Arrays Using Alter an Element Position
Simultaneous estimation of range and angle of close emitters usually requires a multidimensional search. This paper offers an algorithm to improve the position of an element of any array designed on the basis of some certain or random rules. In the proposed method one element moves on its original direction, i.e., keeping the vertical distance to each source, to reach the constellation with les...
متن کاملGeometry of the Cramer-Rao bound
The Fisher information matrix determines how much information a measurement brings about the parameters that index the underlying probability distribution for the measurement. In this paper we assume that the parameters structure the mean value vector in a multivariate normal distribution. The Fisher matrix is. then a Gramian constructed from the sensitivity vectors that characterize the first-...
متن کاملAccuracy of scatterometer-derived winds using the Cramer-Rao bound
A wind scatterometer makes measurements of the normalized radar-backscatter coefficient of the ocean surface. To retrieve the wind, a geophysical model function (GMF), which relates to the near-surface wind, is used. The wind vector can be estimated using maximum-likelihood techniques from several measurements made at different azimuth angles. The probability density of the measured is assumed ...
متن کاملCramer-Rao Lower Bound and Information Geometry
This article focuses on an important piece of work of the world renowned Indian statistician, Calyampudi Radhakrishna Rao. In 1945, C. R. Rao (25 years old then) published a pathbreaking paper [43], which had a profound impact on subsequent statistical research. Roughly speaking, Rao obtained a lower bound to the variance of an estimator. The importance of this work can be gauged, for instance,...
متن کاملThe Cramer-Rao Bound for Sparse Estimation
The goal of this paper is to characterize the best achievable performance for the problem of estimating an unknown parameter having a sparse representation. Specifically, we consider the setting in which a sparsely representable deterministic parameter vector is to be estimated from measurements corrupted by Gaussian noise, and derive a lower bound on the mean-squared error (MSE) achievable in ...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
journal of computer and roboticsجلد ۳، شماره ۲، صفحات ۱۱۷-۱۲۴
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023