Modeling and Simulation of MIMO-OFDM Systems with Classical and Bayesian Channel Estimation

被引：0

作者：

Munshi, Ami ^{[1
,2
]}

Unnikrishnan, Srija ^{[3
,4
]}

机构：

[1] SVKMs NMIMS Univ, Bombay, Maharashtra, India

[2] MPSTME, Bombay, Maharashtra, India

[3] Univ Mumbai, Bombay, Maharashtra, India

[4] FRCRCE, Bombay, Maharashtra, India

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND CONTROL (ICAC3) | 2017年

关键词：

MIMO OFDM; Channel Estimation; Least Square; MMSE; Bayesian; BER;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we have modeled, simulated, analyzed and compared the performance of variants of MIMO OFDM systems under Classical channel estimation scenario and Bayesian channel estimation scenario. We observe that performance of MIMO system under Bayesian channel estimation scenario is slightly better than the Classical channel estimation over a range of signal to noise ratio. However, we observe that the performance of SISO system is the same under both the channel estimation set up.

引用

页数：4

共 10 条

[1]

Ami Munshi S.U, 2017, INT J LATEST TECHNOL, VVI, P64

[2]

[Anonymous], 2010, MIMO OFDM WIRELESS C

[3]

Faezal K, 2008, MULTICARRIER SPREAD

[4]

George Casu F.G, 2015, ELECT COMPUTER ARTIF

[5]

HUSSEIN YS, 2016, SIGNAL PROCESSING I, P204

[6]

KAY Steven M., FUNDAMENTALS STAT SI

[7]

Liu Kewen X.K, 2011, INF SCI ENG ICISE 2

[8]

Salehi F, 2015, SECOND INTERNATIONAL CONGRESS ON TECHNOLOGY, COMMUNICATION AND KNOWLEDGE (ICTCK 2015), P191, DOI 10.1109/ICTCK.2015.7582669

[9]

Thiruvengadathan R, 2012, COMPUTING COMMUNICAT

[10]

Vaishali B, 2011, RECENT TRENDS INFORM, P74

← 1 →