NDLI: A novel adaptive filter for interference suppression

Content Provider	IEEE Xplore Digital Library
Author	Yu-Mei Cui Xing-Peng Mao Hong Hong
Copyright Year	2013
Description	Author affiliation: Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China (Yu-Mei Cui; Xing-Peng Mao; Hong Hong)
Abstract	In wireless communication systems of consumer electronics, it is very important to suppress the interference and extract the target effectively without any phase-amplitude shift. A number of signal processing optimal algorithms developed, we apply the smart antenna to adaptive filtering. But the performances of adaptive filtering differ from each other corresponding to different algorithms. The linear constraint minimum variance (LCMV) criteria shall be applicable to the case of lower array signal noise ratio (ASNR), while the interference suppression criteria shall be applicable to the opposite case. We can get the best performance in any cases using the maximum signal-to-interference-plus-noise ratio (MSINR) criteria, but sometimes it has application limitations. To solve this problem, an alterable parameter adaptive filter is proposed, which minimizes the output noise power under a premise, that is, there exists no shift from the target and the interference can be suppressed to a certain extent. The methods of the alterable parameter estimation are discussed, and performance analyses and simulation results are given as well. It can be concluded from the results that a nearly ideal output signal-to-interference-plus-noise ratio (SINR) of the novel adaptive filter can be expected, keeping the original phase and amplitude of the target.
Sponsorship	IEEE Product Safety Eng. Soc.
Starting Page	57
Ending Page	62
File Size	125121
Page Count	6
File Format	PDF
e-ISBN	9781479903207
DOI	10.1109/ICCE-China.2013.6780869
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference suppression Adaptive filters Interference Signal processing Filtering theory Vectors Adaptive filter Signal to noise ratio
Content Type	Text
Resource Type	Article

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