This paper is published in Volume-2, Issue-6, 2016
Area
Channel Estimation
Author
Priyanka Malhotra, Garima Saini
Org/Univ
Chitkara University, Punjab, India
Keywords
SC-FDMA, adaptive channel estimation, PAPR, LMS, PSO
Citations
IEEE
Priyanka Malhotra, Garima Saini. Optimizing Channel Estimation for SCFDMA, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Priyanka Malhotra, Garima Saini (2016). Optimizing Channel Estimation for SCFDMA. International Journal of Advance Research, Ideas and Innovations in Technology, 2(6) www.IJARIIT.com.
MLA
Priyanka Malhotra, Garima Saini. "Optimizing Channel Estimation for SCFDMA." International Journal of Advance Research, Ideas and Innovations in Technology 2.6 (2016). www.IJARIIT.com.
Priyanka Malhotra, Garima Saini. Optimizing Channel Estimation for SCFDMA, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Priyanka Malhotra, Garima Saini (2016). Optimizing Channel Estimation for SCFDMA. International Journal of Advance Research, Ideas and Innovations in Technology, 2(6) www.IJARIIT.com.
MLA
Priyanka Malhotra, Garima Saini. "Optimizing Channel Estimation for SCFDMA." International Journal of Advance Research, Ideas and Innovations in Technology 2.6 (2016). www.IJARIIT.com.
Abstract
The third generation partnership project has employed SCFDMA for its uplink transmission because of its low PAPR. SCFDMA signal while travelling through channel is affected by noise contained in the channel. Various channel estimation techniques has been given in the literature. This paper presents a channel estimation based on LMS with its parameters being optimised using PSO. The paper also compares result with existing LMS algorithm based systems. It has been observed that the proposed technique provides improvement in Bit Error Rate as compared to other technique.