FPGA implementation of modified leaky least mean square channel estimation algorithm

Author

Bhoyar, D.B. ; Dethe, C.G. ; Mushrif, Milind M.

Author_Institution

Dept. of E&T Eng., Yeshwantrao Chavan Coll. of Eng., Nagpur, India

fYear

2014

fDate

6-8 March 2014

Firstpage

1

Lastpage

5

Abstract

Channel estimation is a technique used to reduce channel inference in multipath data transmission. This paper analyses and implemented a suggested new method for channel estimation in MIMO-OFDM system. The proposed modified leaky least mean square channel estimation algorithm (M-LLMS) improves channel estimation accuracy in noisy environment. We compare the results of the proposed method with LMS, RLS and VLLMS channel estimators for SNR (1-35) and over 10,000 itertions. The computational complexities and the Bit Error Rate (BER) are reduced by the proposed algorithm.

Keywords

MIMO communication; OFDM modulation; channel estimation; error statistics; field programmable gate arrays; least mean squares methods; BER; FPGA implementation; M-LLMS channel estimaton algorithm; MIMO-OFDM system; bit error rate; channel inference; computational complexities; modified leaky least mean square channel estimation algorithm; multipath data transmission; Algorithm design and analysis; Bit error rate; Channel estimation; Estimation; Least squares approximations; OFDM; Wireless communication; FPGA; ISI; LMS; MIMO; OFDM;

fLanguage

English

Publisher

ieee

Conference_Titel

Devices, Circuits and Systems (ICDCS), 2014 2nd International Conference on

Conference_Location

Combiatore

Type

conf

DOI

10.1109/ICDCSyst.2014.6926175

Filename

6926175