NDLI: Near-optimal detection with constant false alarm ratio in varying impulsive interference

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Near-optimal detection with constant false alarm ratio in varying impulsive interference

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Near-optimal detection with constant false alarm ratio in varying impulsive interference

Content Provider	IET Digital Library
Author	Li, Xutao Sun, Jun Wang, Shouyong Fan, Lisheng Chen, Li
Abstract	As an important class of non-Gaussian statistic model, α-stable distribution has received much attention because of its generality to represent impulsive interference. Unfortunately, it does not have a closed-form probability density function (PDF) except for a few cases. For this reason, suboptimal zero-memory non-linearity (ZMNL) function has to be used as an approximation in designing locally optimal detector, such as classical Cauchy and Gaussian-tailed ZMNL (GZMNL). To enhance the performance of detectors, the authors first investigate the approximate PDFs for the symmetric α-stable. In particular, a simplified version of Cauchy–Gaussian mixture (CGM) model, called bi-parameter CGM (BCGM) model is detailed. This BCGM model has a concise closed-form, and hence is more tractable than the classical Gaussian mixture model and CGM model. Then based on the preset false alarm ratio (FAR), the test threshold is adaptively evaluated by using BCGM to maintain a constant FAR. The authors further devise an algebraic-tailed ZMNL (AZMNL) with a simplified form. Simulation results show that the detector with AZMNL outperforms the ones with classical Cauchy and GZMNL, and achieves near-optimal performance in varying impulsive interference.
Starting Page	824
Ending Page	832
Page Count	9
ISSN	17519675
Volume Number	7
e-ISSN	17519683
Issue Number	Issue 9, Dec (2013)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/7/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2013.0024
Journal	IET Signal Processing
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebraic-tailed ZMNL AZMNL Biparameter CGM Model Cauchy-Gaussian Mixture Model CGM Model Classical Cauchy ZMNL Classical Gaussian Mixture Model Closed-form Probability Density Function Constant False Alarm Ratio FAR Gaussian Processes Gaussian-tailed ZMNL GZMNL Impulse Noise Interference Locally Optimal Detector Near-optimal Detection NonGaussian Statistic Model PDF Probability Signal Detection Signal Processing Theory Statistical Distribution Statistics Suboptimal Zero-memory Nonlinearity Function Varying Impulsive Interference Î±-stable Distribution
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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