Title :
Iterative channel estimation for short preamble based OFDM/OQAM system
Author :
Hu, Su ; Wu, Gang ; Xiao, Vue ; Li, Shaoqian
Author_Institution :
Nat. Key Lab. of Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
The existed preamble structure for orthogonal frequency division multiplex/offset QAM (OFDM/OQAM) system requires two zero-value guard symbols to guarantee ISI and ICI avoidance (equivalent to 3/2 complex value symbols in OFDM with cyclic prefix system), which leads to OFDM/OQAM system with low spectrum efficiency. In this paper, we shorten the preamble with 1 zero-value guard symbol to improve the spectrum efficiency. Unfortunately, the residual inter symbol interference (ISI) from neighbor symbols degrade the channel estimation performance. Therefore, we propose an iterative channel estimation method for OFDM/OQAM system to remove the residual ISI. Simulation results demonstrate that short preamble with iterative channel estimation is an effective method for OFDM/OQAM system. Furthermore, as the number of iterative time increasing, BER performance of short preamble with iterative channel estimation is approximately close to perfect channel estimation.
Keywords :
OFDM modulation; channel estimation; error statistics; fading channels; intercarrier interference; interference suppression; intersymbol interference; iterative methods; multipath channels; quadrature amplitude modulation; BER; ICI avoidance; ISI avoidance; iterative channel estimation; multipath fading channel; offset quadrature amplitude modulation; orthogonal frequency division multiplexing; residual inter symbol interference; short preamble based OFDM/OQAM system; spectrum efficiency; zero-value guard symbol; Bit error rate; Channel estimation; Degradation; Fading; Frequency division multiplexing; Interference; Iterative methods; OFDM modulation; Prototypes; Quadrature amplitude modulation;
Conference_Titel :
Communications, Circuits and Systems, 2009. ICCCAS 2009. International Conference on
Conference_Location :
Milpitas, CA
Print_ISBN :
978-1-4244-4886-9
Electronic_ISBN :
978-1-4244-4888-3
DOI :
10.1109/ICCCAS.2009.5250572
