<p>We study experimentally the minimum polynomial method for direction finding of a useful source using an antenna array under the influence of active interference with unknown number of sources. To implement this method, we propose a digital signal processing algorithm, which provides estimates the number of active interference sources and ensures their suppression. The implementation of the algorithm does not require direct inversion of the correlation matrix, thus reducing its computational complexity. The experimental results demonstrated high efficiency of the minimum polynomial method in the context of direction finding accuracy and high performance of the digital signal processing algorithm in terms of noise suppression.</p>

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Experimental Study of the Minimum Polynomial Method for Signal Source Direction Finding Under the Interference Conditions

  • V. Yu. Semenov,
  • A. G. Flaksman

摘要

We study experimentally the minimum polynomial method for direction finding of a useful source using an antenna array under the influence of active interference with unknown number of sources. To implement this method, we propose a digital signal processing algorithm, which provides estimates the number of active interference sources and ensures their suppression. The implementation of the algorithm does not require direct inversion of the correlation matrix, thus reducing its computational complexity. The experimental results demonstrated high efficiency of the minimum polynomial method in the context of direction finding accuracy and high performance of the digital signal processing algorithm in terms of noise suppression.