DocumentCode
266539
Title
Simultaneous time-frequency channel estimation based on compressive sensing for OFDM system
Author
Wenbo Ding ; Fang Yang ; Chao Zhang ; Linglong Dai ; Jian Song
Author_Institution
Electron. Eng. Dept., Tsinghua Univ., Beijing, China
fYear
2014
fDate
8-12 Dec. 2014
Firstpage
3573
Lastpage
3578
Abstract
Conventional time domain synchronous orthogonal frequency division multiplexing (TDS-OFDM) systems have the difficulty to support 256QAM or higher-order modulations and suffer from performance loss, especially under the severe fading channels with long delays. In this letter, a simultaneous time-frequency channel estimation method based on compressive sensing (CS) is proposed to solve this problem. First, the auxiliary channel information is obtained by exploiting the signal structure of TDS-OFDM. Then, a very few frequency-domain pilots in the OFDM block are used to acquire the accurate channel impulse response under the framework of CS. Besides, the auxiliary channel information is utilized to further reduce the complexity of the classical CS algorithm. Simulation results show that the proposed scheme can well support 256QAM under fading channels with long delays and have better performance than the conventional schemes.
Keywords
OFDM modulation; channel estimation; compressed sensing; fading channels; frequency-domain analysis; time-domain analysis; time-frequency analysis; 256QAM; OFDM system; TDS-OFDM system; channel impulse response; compressive sensing; fading channels; higher-order modulations; simultaneous time-frequency channel estimation; time domain synchronous orthogonal frequency division multiplexing system; Bit error rate; Channel estimation; Complexity theory; Delays; OFDM; Time-frequency analysis; Wireless communication; Simultaneous time-frequency; channel estimation (CE); compressive sensing (CS); orthogonal frequency division multiplexing (OFDM);
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location
Austin, TX
Type
conf
DOI
10.1109/GLOCOM.2014.7037362
Filename
7037362
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