Title :
Joint phase/amplitude estimation and symbol detection for wireless ICI self-cancellation coded OFDM systems
Author :
Wu, Hsiao-Chun ; Huang, Xiaozhou
Author_Institution :
Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA
fDate :
3/1/2004 12:00:00 AM
Abstract :
OFDM has been applied in the current wireless local-area networks and digital video broadcasting systems since it has the advantage over the conventional single-carrier modulation schemes when the frequency-selective fadings are present. Nevertheless, intercarrier-interference (ICI) due to Doppler frequency drift, phase offset, local oscillator frequency drift, and multipath fading will be a severe problem in OFDM systems. Previous ICI self-cancellation coding schemes can greatly reduce the ICI, but they are very sensitive to the phase ambiguity, which is due to the composite effect of the phase offset, the multipath fading and the local frequency drift. In this paper, the phase ambiguity and amplitude ambiguity problems in ICI self-cancellation coded OFDM receivers will be formulated and discussed. Then, a novel receiver which combines the current ICI self-cancellation coding techniques with a new expectation-maximization-based joint phase/amplitude estimation and symbol detection scheme is proposed. The outstanding performance of this proposed scheme is shown and compared with other existing methods at different noise levels through OFDM simulations.
Keywords :
OFDM modulation; amplitude estimation; digital video broadcasting; fading; interference suppression; iterative methods; optimisation; phase estimation; radio receivers; signal detection; television receivers; wireless LAN; amplitude ambiguity problem formulation; coded OFDM system; digital video broadcasting system; frequency-selective fading; intercarrier-interference self-cancellation; joint phase-amplitude estimation; maximization; phase ambiguity problem formulation; receiver; symbol detection scheme; wireless local-area network; Amplitude estimation; Bandwidth; Digital video broadcasting; Error correction; Fading; Frequency estimation; OFDM modulation; Phase detection; Phase estimation; Phase noise;
Journal_Title :
Broadcasting, IEEE Transactions on
DOI :
10.1109/TBC.2004.824746