A note on the Cramer-Rao bound for 2-D direction finding based on 2-D array
نویسندگان
چکیده
منابع مشابه
A Note on the Intrinsic Cramer-Rao Bound
We consider the intrinsic version of the Cramer-Rao lower bound (CRLB) as introduced by S.T. Smith in 2005. In the concerned paper, the derived lower bound on the intrinsic root-mean-square error (RMSE) of any sample covariance matrix (SCM) estimator is shown not to depend on the underlying parameter, and the author claims the result stems from the invariances of the Fisher Information Metric (...
متن کاملESPRIT-based 2-D direction finding with a sparse uniform array of electromagnetic vector sensors
Aperture extension (interferometry baseline extension) is achieved in this novel ESPRIT-based two-dimensional (2-D) arrival angle estimation scheme using a sparse (a.k.a., thin or thinned) uniform rectangular array of electromagnetic vector sensors spaced much farther apart than a half-wavelength. An electromagnetic vector sensor is composed of six spatially co-located, orthogonally oriented, d...
متن کاملNote for Cramer-Rao Bounds
• (z)r and (z)i denote the real and imaginary part of z. II. CONSTRAINED CRAMER-RAO BOUND A. Problem Statement Problem statement and notation are based on [1]. • a: a K × 1 non-random vector which are to be estimated. • r: an observation of a random vector . • â (R): an estimate of a basing on the observed vector r . It is required that â (R) satisfies M nonlinear equality constraints (M < K), ...
متن کاملOn the Cramer Rao bound for Terrain Aided Navigation
LINKÖPING Technical reports from the Automatic Control group in Linkk oping are available as UNIX-compressed Postscript les by anonymous ftp at the address 130.236.20.24
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 کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 1991
ISSN: 1053-587X,1941-0476
DOI: 10.1109/78.80958