Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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Covariance Matrix Synthesis Using Maximum Ratio Combining in Coherent MIMO Radar with Frequency Diversity

  • Jeon, Hyeonmu (Dept. of Wireless Communications Engineering, Kwangwoon University) ;
  • Chung, Yongseek (Dept. of Wireless Communications Engineering, Kwangwoon University) ;
  • Chung, Wonzoo (Devision of Computer and Communications Engineering, Korea University) ;
  • Kim, Jongmann (Agency for Defense Development) ;
  • Yang, Hoongee (Dept. of Wireless Communications Engineering, Kwangwoon University)
  • Received : 2017.01.31
  • Accepted : 2017.08.14
  • Published : 2018.01.01
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Abstract

Reliable detection and parameter estimation of a radar cross section(RCS) fluctuating target have been known as a difficult task. To reduce the effect of RCS fluctuation, various diversity techniques have been considered. This paper presents a new method for synthesizing a covariance matrix applicable to a coherent multi-input multi-output(MIMO) radar with frequency diversity. It is achieved by efficiently combining covariance matrices corresponding to different carrier frequencies such that the signal-to-noise ratio(SNR) in the combined covariance matrix is maximized. The value of a synthesized covariance matrix is assessed by examining the phase curves of its entries and the improvement on direction of arrival(DOA) estimation.

Keywords

E1EEFQ_2018_v13n1_445_f0001.png 이미지

Fig. 1. Correlation versus frequency interval

E1EEFQ_2018_v13n1_445_f0002.png 이미지

Fig. 2. Phase curves in first row entries

E1EEFQ_2018_v13n1_445_f0003.png 이미지

Fig. 3. MSE of DOA estimation versus frequency interval

E1EEFQ_2018_v13n1_445_f0004.png 이미지

Fig. 4. MSE of DOA estimation in Swerling I model

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