The Journal of Korea Institute of Information, Electronics, and Communication Technology (한국정보전자통신기술학회논문지)

Korea Information Electronic Communication Technology (한국정보전자통신기술학회)
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Signal Estimation Using Covariance Matrix of Mutual Coupling and Mean Square Error

  • Received : 2016.12.11
  • Accepted : 2016.12.25
  • Published : 2018.12.29
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Abstract

We propose an algorithm to update weight to use the mean square error method and mutual coupling matrix in a coherent channel. The algorithm proposed in this paper estimates the desired signal by using the updated weight. The updated weight is obtained by covariance matrix using mean square error and mutual coupling matrix. The MUSIC algorithm, which is direction of arrival estimation method, is mostly used in the desired signal estimation. The MUSIC algorithm has a good resolution because it uses subspace techniques. The proposed method estimates the desired signal by updating the weights using the mutual coupling matrix and mean square error method. Through simulation, we analyze the performance by comparing the classical MUSIC and the proposed algorithm in a coherent channel. In this case of the coherent channel for estimating at the three targets (-10o, 0o, 10o), the proposed algorithm estimates all the three targets (-10o, 0o, 10o). But the classical MUSIC algorithm estimates only one target (x, x, 10o). The simulation results indicate that the proposed method is superior to the classical MUSIC algorithm for desired signal estimation.

Keywords

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Fig. 1. Block diagram of the adaptive array system

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Fig. 2. Desired signals estimation by classical M USIC algorithm in non-coherent channel

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Fig. 3. Desired signals estimation by classical M USIC algorithm in coherent channel

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Fig. 4. Desired signals estimation by the propose d algorithm in coherent channel

Table 1. Simulation conditions

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