SCIENCE@home

Parameter estimation of MIMO FSO systems using saddlepoint approximation

Maoke Miao,Xiaofeng Li

Published 2022 in Journal of Modern Optics

ABSTRACT

In this paper, the challenges of parameter estimation for multiple-input multiple-out (MIMO) free-space optical (FSO) communication systems employing equal gain combining diversity techniques over the Gamma–Gamma turbulence channels with pointing errors are addressed. According to the goodness-of-fit statistical tests results previously reported by Kolmogorov-Smirnov, the approximate probability density function obtained by a saddlepoint approximation (SAP) method provide a highly efficient approximation of the actual channel models over a wide range of channel conditions. To reveal the importance of the SAP approximation method, we propose a maximum likelihood estimation algorithm to estimate its parameters. The accuracy of the proposed estimator is investigated by using the mean square error (MSE) and normalized mean square error (NMSE); they exhibit satisfactory performance in both noiseless and noisy environments. The bit error rate (BER) performance for MIMO FSO systems with an SAP estimator is also discussed.

PUBLICATION RECORD

CITATION MAP

EXTRACTION MAP

CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

REFERENCES

Showing 1-40 of 40 references · Page 1 of 1

CITED BY

Showing 1-4 of 4 citing papers · Page 1 of 1