P
Pu Wang
Researcher at Mitsubishi Electric Research Laboratories
Publications - 144
Citations - 2659
Pu Wang is an academic researcher from Mitsubishi Electric Research Laboratories. The author has contributed to research in topics: Parametric statistics & Estimator. The author has an hindex of 22, co-authored 126 publications receiving 2099 citations. Previous affiliations of Pu Wang include Chalmers University of Technology & Stevens Institute of Technology.
Papers
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Journal ArticleDOI
A Parametric Moving Target Detector for Distributed MIMO Radar in Non-Homogeneous Environment
Pu Wang,Hongbin Li,Braham Himed +2 more
TL;DR: The MIMO-PGLRT detector, which consists of local adaptive subspace detection, non-coherent combining using local decision variables, and a global threshold comparison, is shown to asymptotically achieve constant false alarm rate (CFAR).
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A Hybrid CPF-HAF Estimation of Polynomial-Phase Signals: Detailed Statistical Analysis
TL;DR: An approach that combines the cubic phase function (CPF) and the high-order ambiguity function (HAF) is proposed, referred to as the hybrid CPF-HAF method, which outperforms the HAF in terms of the accuracy and signal-to-noise-ratio threshold.
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Fingerprinting-Based Indoor Localization With Commercial MMWave WiFi: A Deep Learning Approach
TL;DR: A mid-grained intermediate-level channel measurement — spatial beam signal-to-noise ratios (SNRs) that are inherently available and defined in the IEEE 802.11ad/ay standards — is proposed to be used to construct the fingerprinting database.
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Generalized High-Order Phase Function for Parameter Estimation of Polynomial Phase Signal
TL;DR: A procedure for finding time instants minimizing the mean-square error (MSE) is proposed and achieves better performances than the high-order ambiguity function (HAF) and polynomial Wigner-Ville distribution (PWVD).
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Cubic phase function
TL;DR: An overview of the cubic phase function (CPF) as a tool proposed for both parametric and nonparametric estimation of the frequency modulated (FM) and in particular polynomial phase signals (PPS) is provided.