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Title: Sparsely corrupted stimulated scattering signals recovery by iterative reweighted continuous basis pursuit

In this paper, we consider the problem of extracting the desired signals from noisy measurements. This is a classical problem of signal recovery which is of paramount importance in inertial confinement fusion. To accomplish this task, we develop a tractable algorithm based on continuous basis pursuit and reweighted ℓ{sub 1}-minimization. By modeling the observed signals as superposition of scale time-shifted copies of theoretical waveform, structured noise, and unstructured noise on a finite time interval, a sparse optimization problem is obtained. We propose to solve this problem through an iterative procedure that alternates between convex optimization to estimate the amplitude, and local optimization to estimate the dictionary. The performance of the method was evaluated both numerically and experimentally. Numerically, we recovered theoretical signals embedded in increasing amounts of unstructured noise and compared the results with those obtained through popular denoising methods. We also applied the proposed method to a set of actual experimental data acquired from the Shenguang-II laser whose energy was below the detector noise-equivalent energy. Both simulation and experiments show that the proposed method improves the signal recovery performance and extends the dynamic detection range of detectors.
Authors:
;  [1] ;  [2]
  1. College of Automation, Chongqing University, Chongqing 400044 (China)
  2. Research Center of Laser Fusion, CAEP, P. O. Box 919-983, Mianyang 621900 (China)
Publication Date:
OSTI Identifier:
22220465
Resource Type:
Journal Article
Resource Relation:
Journal Name: Review of Scientific Instruments; Journal Volume: 84; Journal Issue: 8; Other Information: (c) 2013 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; ALGORITHMS; BASES; COMPARATIVE EVALUATIONS; INERTIAL CONFINEMENT; ITERATIVE METHODS; MATERIALS RECOVERY; MINIMIZATION; NOISE; PLASMA SIMULATION; PYROELECTRIC DETECTORS; SCATTERING; SIGNALS