中国邮电高校学报(英文) ›› 2013, Vol. 20 ›› Issue (4): 46-51.doi: 10.1016/S1005-8885(13)60068-0

• Wireless • 上一篇    下一篇

Passive localization of 3-D near-field sources in coexisted multiplicative noise and additive noise

刘国红1,孙晓颖   

  1. College of Communication Engineering, Jilin University, Changchun 130025, China
  • 收稿日期:2013-01-30 修回日期:2013-06-14 出版日期:2013-08-31 发布日期:2013-08-30
  • 通讯作者: 刘国红 E-mail:liugh10@mails.jlu.edu.cn
  • 基金资助:
    This work was supported by the National Natural Science Foundation of China (61171137), the New Century Excellent Talents in University (NECT) of China (NECT-09-0426).

Passive localization of 3-D near-field sources in coexisted multiplicative noise and additive noise

  1. College of Communication Engineering, Jilin University, Changchun 130025, China
  • Received:2013-01-30 Revised:2013-06-14 Online:2013-08-31 Published:2013-08-30
  • Contact: Guohong Liu E-mail:liugh10@mails.jlu.edu.cn
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61171137), the New Century Excellent Talents in University (NECT) of China (NECT-09-0426).

摘要: By exploiting favorable characteristics of a uniform cross-array, a passive localization algorithm of narrowband sources in the spherical coordinates (azimuth, elevation and range) is proposed. Based on the properly chosen sensor outputs, we compute the third-order cyclic moment matrices, and exploit a pre-calibration technique to eliminate multiplicative noise. Then, we construct a parallel factor (PARAFAC) model, and adopt trilinear alternating least squares regression (TALS) to estimate three-dimensional (3-D) near-field parameters. The investigated algorithm is efficient in the sense that it can eliminate multiplicative noise and additive noise, provide the improved estimation accuracy, as well as avoid the parameter-pairing procedure. Simulation results are carried out to demonstrate the performance of the proposed algorithm.

关键词: multiplicative stationary noise, additive stationary noise, higher-order cyclic statistics, parallel factor analysis, near-field sources

Abstract: By exploiting favorable characteristics of a uniform cross-array, a passive localization algorithm of narrowband sources in the spherical coordinates (azimuth, elevation and range) is proposed. Based on the properly chosen sensor outputs, we compute the third-order cyclic moment matrices, and exploit a pre-calibration technique to eliminate multiplicative noise. Then, we construct a parallel factor (PARAFAC) model, and adopt trilinear alternating least squares regression (TALS) to estimate three-dimensional (3-D) near-field parameters. The investigated algorithm is efficient in the sense that it can eliminate multiplicative noise and additive noise, provide the improved estimation accuracy, as well as avoid the parameter-pairing procedure. Simulation results are carried out to demonstrate the performance of the proposed algorithm.

Key words: multiplicative stationary noise, additive stationary noise, higher-order cyclic statistics, parallel factor analysis, near-field sources