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
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);
Conference_Titel :
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location :
Austin, TX
DOI :
10.1109/GLOCOM.2014.7037362