Earticle

초록

영어

Difference co-array can be constructed by using Khatri-Rao (KR) product, which can increase the degrees of freedom (DOF) significantly. Combined with fourth order cumulants, the KR product can be used to constructed fourth order difference co-array. The fourth order difference co-array of a four level nested array contains a uniform linear array (ULA), however, its second order difference co-array has missing holes, which may result in the ambiguity for DOA estimation. And the method based on KR product and fourth order cumulants has two main drawbacks. First it cannot be employed to Gaussian source signals. Second it needs a large number of snapshots. In this paper, a novel approach is proposed to construct a virtual ULA based on KR product and redundancy spacing of arrays for a four level nested array. Unlike the existing method based on KR product and fourth order cumulants, the new method only uses second order statistics. And compared to the method based on KR product and second order statistics, the new method achieves higher resolution. Numerical results are provided to demonstrate the effectiveness and superior performance of the proposed algorithm.

목차

Abstract
 1. Introduction
 2. Signal Model and Preliminaries
  2.1. Signal Model
  2.2. th2qOrder Nested Array 
  2.3. Directed Augmented Approach
  2.4. KR-based Method
 3. The Proposed Method
 4. Simulation
  4.1. Correlation Coefficients of the Power of the Actual Signals
  4.2. Spatial Spectra
  4.3. RMSE versus SNR
  4.4. RMSE versus Snapshot
  4.5. Resolution versus SNR
 5. Conclusions
 Acknowledgments
 References

키워드

저자

• Shuang Li [ Key Laboratory of Wireless sensor networks and communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China, Communication Acoustic laboratory, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China ]
• Xuguang Yang [ Key Laboratory of Wireless sensor networks and communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China ]
• Xiaoxiao Jiang [ Key Laboratory of Wireless sensor networks and communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China ]
• Feng Jin [ Public Security Bureau of Jiaxing, Zhejiang province, China ]
• Yingguan Wang [ Key Laboratory of Wireless sensor networks and communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605