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Spectral Subtraction Approach for Interference Reduction of MIMO Channel Wireless Systems

By Tomohiro Ono, Takahiro Baba and Shigeo Wada

Abstract

In this paper, a generalized spectral subtraction approach for reducing additive impulsive noise, narrowband signals, white Gaussian noise and DS-CDMA interferences in MIMO channel DS-CDMA wireless communication systems is investigated. The interference noise reduction or suppression is essential problem in wireless mobile communication systems to improve the quality of communication. The spectrum subtraction scheme is applied to the interference noise reduction problems for noisy MIMO channel systems. The interferences in space and time domain signals can effectively be suppressed by selecting threshold values, and the computational load with the FFT is not large. Further, the fading effects of channel are compensated by spectral modification with the spectral subtraction process. In the simulations, the effectiveness of the proposed methods for the MIMO channel DS-CDMA is shown to compare with the conventional MIMO channel DS-CDMA

Topics: MIMO Channel, Spectral Subtraction, DS-CDMA, Interference Reduction, Electronic computers. Computer science, QA75.5-76.95, Instruments and machines, QA71-90, Mathematics, QA1-939, Science, Q, DOAJ:Computer Science, DOAJ:Technology and Engineering, Information technology, T58.5-58.64, Communication. Mass media, P87-96
Publisher: International Institute of Informatics and Cybernetics
Year: 2005
OAI identifier: oai:doaj.org/article:13befe9d22214d8dbbafc9a22e49300f
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