A Result Analysis of Compressive Sensing Based Channel Estimation for OFDM Systems under Long Delay Channels
Volume: 5 - Issue: 05 - Date: 01-05-2016
Approved ISSN: 2278-1412
Published Id: IJAECESTU272 | Page No.: 992-996
Author: Anubhav Pandey
Co- Author: Swatantra Tiwari
Abstract:-Technique that succeed in the next-generation wireless communication is known as
Orthogonal frequency division multiplexing is a. Channel assessment is one of the key challenges
in OFDM, since high-resolution channel estimation can significantly advance the equalization at
the receiver and accordingly enhance the communication performances. However, its iterative
intervention cancellation algorithm will experience performance loss especially under severely
fading channels with long delay and has complexity supporting high-order modulations like 256
QAM, which may not accommodate the promising ultra-high meaning television service. To
resolve this difficulty, a channel estimation method for OFDM in the structure of compressive
sensing is planned in our work. Firstly, by exploiting the signal structure of recently proposed
TDM-OFDM scheme, the auxiliary channel information is obtained. Secondly, we propose the
auxiliary information based subspace pursuit (SP) algorithm to utilize a very small amount of
frequency domain pilots embedded in the OFDM block for the precise channel assessment.
Moreover, the obtain auxiliary channel information is adopted to reduce the complexity of the
traditional SP algorithm. Simulation results demonstrate a significant reduction of the number of
pilots comparative to least-squares channel assessment and supporting high-order modulations
like 256 QAM
Key Words:-Rayleigh Fading, Frequency Selective Fading, Delay Spread.
Area:-Engineering
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