Earticle

초록

영어

When the uniform circular array (UCA) is used to estimate the direction-of-arrival (DOA) of the coherent sources, it is necessary to transform the UCA data to the interpolated uniform linear array (ULA) data. Thus, the transformed array data can be applied to the spatial processing algorithm for the coherent sources such as the forward -backward smoothing algorithm. To select a more robust transformation matrix, a modified denoise approach for UCA estimation in low SNR case is proposed in this paper. First, a denoise method is investigated to maximize the SNR in the process of the interpolated transformation. The pseudo signal to noise ratio (PSNR) obtained from the eigenvalues of the forward-backward smoothing virtual covariance matrix estimate is used as the parameter of this maximization problem. Second, a modified maximization problem and its solution are presented to obtain more accurate estimates. The simulation results demonstrate the effectiveness of the proposed method, which improve the resolution ability and the estimation accuracy of the coherent sources in the low SNR case at the same time.

목차

Abstract
 1. Introduction
 2. The Interpolated Array Technique of UCA
 3. A Modified Denoise Approach
 4. Simulation and Analysis
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Yuguan Hou [ School of Electronics and Information Engineering, Harbin Institute of Technology 92 West Dazhi Street , Nan Gang District, Harbin, China ]
• Lingfeng Chen [ School of Electronics and Information Engineering, Harbin Institute of Technology 92 West Dazhi Street , Nan Gang District, Harbin, China ]
• Yiying Shen [ School of Electronics and Information Engineering, Harbin Institute of Technology 92 West Dazhi Street , Nan Gang District, Harbin, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605