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Journal of Projectiles, Rockets, Missiles and Guidance >

2011 , Vol. 31 >Issue 4: 176 - 179

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2011.04.026

CORRELATION TECHNOLOGY

A Multi-source Direction Dimension-degraded Estimation Approach Based on Steering-vector

  • WENG Xiaojun ,
  • ZHANG Min ,
  • LI Pengfei
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  • 1 Electronic Engineering Institute of PLA, Hefei 230037, China
    2 Key Laboratory of Electronic Restriction of Anhui Province, Hefei 230037, China

Received date: 2010-12-01

  Online published: 2025-05-30

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Abstract

To solve the modeling problem of multi-source direction estimation based on smart learning method, an effective dimension-degraded modeling approach was proposed in this paper. This approach based on decomposing the DOA matrix could result in the steering-vector of each signal source, then they were taken as the input vector to train the radial basis function neural networks (RBFNN) model with the training sets of single source, the trained model could approximate the nonlinear mapping from the separating input vectors of multi-source to direction-of-arrival. The simulation results showed the effectiveness and feasibility of this method.

Key words： multi-source direction estimation; DOA matrix; steering-vector; separated character; RBFNN

Cite this article

WENG Xiaojun , ZHANG Min , LI Pengfei . A Multi-source Direction Dimension-degraded Estimation Approach Based on Steering-vector[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2011 , 31(4) : 176 -179 . DOI: 10.15892/j.cnki.djzdxb.2011.04.026

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