Title :
Asynchronous Co-channel Interference Suppression in MIMO OFDM Systems
Author :
Qiang Li ; Jing Zhu ; Xingang Guo ; Georghiades, Costas N.
Author_Institution :
Texas A&M Univ., College Station
Abstract :
We present algorithms to suppress the asynchronous co-channel interference (CCI) in MIMO OFDM systems, which is becoming the dominant limiting factor in the performance of the emerging high-density WLANs. The key challenge is that the cyclic prefix of the interference signal does not line up with that of the intended signal due to asynchronous transmission in WLAN. Therefore, the orthogonality among the different tones of the interference signal is destroyed and conventional frequency domain minimum mean square error (MMSE) cancelation techniques that measure the interference channel response for each tone can not work effectively. To suppress the asynchronous interference, we design an efficient estimator to measure the interference spatial covariance matrix using Cholesky decomposition and low-pass smoothing. Both a MMSE and a maximum a posteriori (MAP) receiver are derived based on the estimated interference statistics. Simulation results demonstrate the effectiveness of our solution.
Keywords :
MIMO communication; OFDM modulation; cochannel interference; covariance matrices; interference suppression; maximum likelihood estimation; wireless LAN; CCI; Cholesky decomposition; MAP receiver; MIMO OFDM Systems; asynchronous cochannel interference suppression; channel response; dominant limiting factor; high-density WLAN; interference signal; low-pass smoothing; maximum a posteriori receiver; spatial covariance matrix; Frequency domain analysis; Frequency measurement; Interchannel interference; Interference cancellation; Interference suppression; MIMO; Mean square error methods; OFDM; Radiofrequency interference; Wireless LAN;
Conference_Titel :
Communications, 2007. ICC '07. IEEE International Conference on
Conference_Location :
Glasgow
Print_ISBN :
1-4244-0353-7
DOI :
10.1109/ICC.2007.952