The Deterministic CRLB for DOA Estimation in Non-Gaussian Environments
The determination of Cramer-Rao lower bound (CRLB) as an optimal criterion for direction-of-arrival (DOA) estimation problem is a very important issue. The CRLBs have been derived for the Gaussian noise. However, a practical wireless environments are not only affected by the Gaussian noise but also non-Gaussian noise which is due to the impulsive nature of man-made electromagnetic interference and a great deal of natural noise. In this paper, the CRLB is derived for DOA estimation in non-Gaussian environments, which has not been studied in the literature. Since the non-parametric kernel method is utilized to estimate the noise probability density function, the CRLB derived is suited for all kinds of noise distribution. Computer simulations are included to contrast the CRLBs in different noise environments.
J.Y. Huang Q. Wan
Dept. of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China
国际会议
2010 International Conference on Communications,Circuits and Systems(2010年通信、电路与系统国际会议)
成都
英文
727-730
2010-06-28（万方平台首次上网日期，不代表论文的发表时间）