Near-Field Sources Localization Based on Sparse Signal Reconstruction

LIANG Guo-long; HAN Bo; LIN Wang-sheng; WANG Dan

doi:10.3969/j.issn.0372-2112.2014.06.001

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Near-Field Sources Localization Based on Sparse Signal Reconstruction

更新时间：2025-07-16

- Near-Field Sources Localization Based on Sparse Signal Reconstruction
- Acta Electronica Sinica Vol. 42, Issue 6, Pages: 1041-1046(2014)
- 作者机构：
  
  1. 哈尔滨工程大学水声技术重点实验室,黑龙江,哈尔滨,150001
  2. 上海微小卫星工程中心,上海,200050
  3. 哈尔滨工程大学水声技术重点实验室,黑龙江,哈尔滨,150001
  4. 上海微小卫星工程中心,上海,200050
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.51279043);National Natural Science Foundation of China (No.51209059);National Key Laboratory of Underwater Acoustic Technology (No.9140C200203110C2003)
- DOI：10.3969/j.issn.0372-2112.2014.06.001
  CLC： TB566
- Published：2014
- 稿件说明：
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LIANG Guo-long, HAN Bo, LIN Wang-sheng, et al. Near-Field Sources Localization Based on Sparse Signal Reconstruction[J]. Acta Electronica Sinica, 2014, 42(6): 1041-1046.
DOI：

LIANG Guo-long, HAN Bo, LIN Wang-sheng, et al. Near-Field Sources Localization Based on Sparse Signal Reconstruction[J]. Acta Electronica Sinica, 2014, 42(6): 1041-1046. DOI： 10.3969/j.issn.0372-2112.2014.06.001.

摘要

针对近场源定位问题，提出了一种基于稀疏信号重构的定位方法.该方法通过约束稀疏信号的L1-范数求解优化问题，实现信源的定位.该方法采用一种新的方法约束噪声项系数以求解优化问题，无需噪声的先验知识.为了减小计算量，将近场源二维定位问题转化为两次一维参数估计.通过计算机仿真验证了该方法的性能.

Abstract

Considering near-field sources localization

a method based on sparse signal reconstruction is presented. The sparse optimization problem is solved through minimizing L1-norm of sparse signals

and the sources localization is realized. The method uses an estimate of noise power as the tradeoff of the optimization problem

without prior knowledge on noise. To reduce the computational complexity

the two-dimensional positioning problem is transformed into two one-dimensional parameter estimation problems. Simulation results show the performances of the proposed method.

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