Efficient spatial covariance estimation for asynchronous co-channel interference suppression in MIMO-OFDM systems

We present algorithms to suppress the asynchronous co-channel interference (CCI) in MIMO OFDM systems. The key challenge is that the cyclic prefix of the interference signal does not line up with that of the intended signal due to the asynchronous transmission in WLAN. Therefore, the orthogonality a...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2008-12, Vol.7 (12), p.4849-4853
Main Authors: Qiang Li, Jing Zhu, Qinghua Li, Georghiades, C.
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Business and industry local networks
Channels
co-channel interference
Computer simulation
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Frequency domain analysis
Frequency domains
Information, signal and communications theory
Interchannel interference
Interference
Interference cancellation
Interference channels
Interference suppression
Least mean squares algorithm
Mean square error methods
MIMO
MMSE
Multiplexing
Networks and services in france and abroad
OFDM
Orthogonal Frequency Division Multiplexing
Radiofrequency interference
Signal and communications theory
Signal, noise
Statistics
system
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Teleprocessing networks. Isdn
Transmission and modulation (techniques and equipments)
Wireless communication
Wireless LAN
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Description
Summary:We present algorithms to suppress the asynchronous co-channel interference (CCI) in MIMO OFDM systems. The key challenge is that the cyclic prefix of the interference signal does not line up with that of the intended signal due to the asynchronous transmission in WLAN. Therefore, the orthogonality across the tones of the interference signal is destroyed and the conventional frequency domain minimum mean square error (MMSE) cancelation techniques that employ the interference channel response per tone can not work effectively. To suppress the asynchronous interference, we design an efficient estimator for the spatial covariance matrix of the interference 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 effectivity of our solution.
ISSN:1536-1276
1558-2248
DOI:10.1109/T-WC.2008.071201