Title :
Joint channel estimation and signal detection for uplink MC-CDMA systems over time-varying multipath channels
Author :
Wang, Huahui ; Li, Tongtong
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
In this paper, a recursive approach for joint channel estimation and signal detection is proposed for the uplink MC-CDMA system over time-varying multipath fading channels. Compared to the conventional channel estimation scheme for time-varying channels which generally requires pilot signals for every symbol, the proposed approach has the advantage of reducing these overhead bits and hence increasing the spectral efficiency. Taking advantage of the powerful processing capability of the base station, parallel interference cancellation (PIC) technique is exploited to cancel the multiple access interference (MAI) and enhance the system performance. Furthermore, a simple but effective method is proposed to prevent the possible error propagation. Space diversity (multiple receiver antennas) and time diversity (channel coding) can also be employed to suppress error propagation and improve system performance. Simulation results demonstrate that the proposed scheme is robust in multiuser scenarios for moderate signal to noise ratio (SNR) levels.
Keywords :
channel estimation; code division multiple access; diversity reception; fading channels; interference suppression; multipath channels; multiuser detection; radio links; radiofrequency interference; time-varying channels; MAI; PIC; error propagation suppression; joint channel estimation; multiple access interference; multiuser scenario; parallel interference cancellation technique; pilot signal; recursive approach; signal detection; space diversity; spectral efficiency; time diversity; time-varying multipath fading channel; uplink MC-CDMA system; Channel estimation; Fading; Interference cancellation; Multicarrier code division multiple access; Multipath channels; Multiple access interference; Signal detection; Signal to noise ratio; System performance; Time varying systems;
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN :
0-7803-8622-1
DOI :
10.1109/ACSSC.2004.1399274