An Adaptive OFDM Detection Strategy for Range and Doppler Spread Targets in Non-Gaussian Clutter
Orthogonal frequency division multiplexing (OFDM) radar can obtain higher target detection performance than traditional single carrier frequency radar due to simultaneously multiple frequency measurements.
Zhen Du, Zenghui Zhang, Wenxian Yu
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A Fast Blind Detection Algorithm for Outdoor Visible Light Communications
In this paper, we consider an outdoor visible light communication system, in which on-off keying (OOK) modulation is utilized through an atmospheric turbulence-induced slow-fading channel. A new fast blind detection algorithm is proposed by following the
Yi-Jun Zhu +3 more
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An Augmented Generalized Likelihood Ratio Test Detector for Signal Detection in Clutter and Noise
To deal with the problem of signal detection in correlated subspace, this paper presents an augmented generalized likelihood ratio test (AGLRT) detector.
Hui Tang, Li Chai, Xianrong Wan
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Adaptive subspace detection based on two-step dimension reduction in the underwater waveguide
In the underwater waveguide, the conventional adaptive subspace detector (ASD), derived by using the generalized likelihood ratio test (GLRT) theory, suffers from a significant degradation in detection performance when the samplings of training data are ...
De-zhi Kong +3 more
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Signal-level cooperative detection based on multichannel observations is a pivotal technique in distributed Multiple-Input Multiple-Output (MIMO) radar for probing targets via the joint processing of multiple echo channels.
Qunfeng DU +4 more
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One-Bit Quantization and Distributed Detection with an Unknown Scale Parameter
We examine a distributed detection problem in a wireless sensor network, where sensor nodes collaborate to detect a Gaussian signal with an unknown change of power, i.e., a scale parameter.
Fei Gao, Lili Guo, Hongbin Li, Jun Fang
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New Findings on GLRT Radar Detection of Non-Fluctuating Targets via Phased Arrays
This paper addresses the standard generalized likelihood ratio test (GLRT) detection problem of weak signals in background noise. In so doing, we consider a non-fluctuating target embedded in complex white Gaussian noise (CWGN), in which the amplitude of
Fernando Dario Almeida Garcia +2 more
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Robust Spectrum-Based Comparison of Multivariate Complex Random Signals
We consider the problem of comparing two complex multivariate random signal realizations, possibly contaminated with additive outliers, to ascertain whether they have identical power spectral densities.
Jitendra K. Tugnait
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Statistical Resolution Limit Analysis of Two Closely Spaced Signal Sources Using Rao Test
High computational complexity and difficulty in taking an analytical expression of detection statistics are some of the problems encountered when using the statistical resolution limit (SRL) analysis in the generalized likelihood ratio test (GLRT). A Rao
Minhong Sun +3 more
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Adaptive CUSUM Chart for Simultaneous Monitoring of Mean and Variance
ABSTRACT Simultaneously monitoring changes in both the mean and variance is a fundamental problem in statistical process control, and numerous methods have been developed to address it. However, many existing approaches face notable limitations: Some rely on tuning parameters that can significantly affect performance; others are biased toward detecting
Gokul Parakulum, Jun Li
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