This paper is published in Volume-4, Issue-2, 2018
Area
Communications
Author
Chandaka Yuva Lalitha, Moyyi Padmalatha, Pabbisetty Mukesh Sai, Sigatapu Vamsi Krishna, Myla Sai Sandesh, G. S. B. Raghavendra
Org/Univ
Gayatri Vidya Parishad School of Engineering, Visakhapatnam, Andhra Pradesh, India
Pub. Date
24 April, 2018
Paper ID
V4I2-2090
Publisher
Keywords
Channel estimation, Blind channel estimation, MIMO-OFDM systems, Doppler frequencies, QPSK- modulation.

Citationsacebook

IEEE
Chandaka Yuva Lalitha, Moyyi Padmalatha, Pabbisetty Mukesh Sai, Sigatapu Vamsi Krishna, Myla Sai Sandesh, G. S. B. Raghavendra. Channel estimation in MIMO-OFDM using blind adaptive technique, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Chandaka Yuva Lalitha, Moyyi Padmalatha, Pabbisetty Mukesh Sai, Sigatapu Vamsi Krishna, Myla Sai Sandesh, G. S. B. Raghavendra (2018). Channel estimation in MIMO-OFDM using blind adaptive technique. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
Chandaka Yuva Lalitha, Moyyi Padmalatha, Pabbisetty Mukesh Sai, Sigatapu Vamsi Krishna, Myla Sai Sandesh, G. S. B. Raghavendra. "Channel estimation in MIMO-OFDM using blind adaptive technique." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

A new blind channel estimation scheme for orthogonal frequency division multiplexing systems is proposed based on the maximum likelihood principle. In the Blind channel estimation scheme, the blind channel estimator is proposed based on the noise subspace method and establishes conditions for blind channel estimation in spatially multiplexed MIMO-OFDM systems. A novel approach is also proposed for resolving the phase ambiguity of the blind channel estimate without the need for any reference symbols. Simulations were performed for mobile radio environments with high Doppler frequencies and short-to-medium delay spreads. The achieved performance is comparable to that of pilot-based channel estimation for the case of QPSK-modulation