Earticle

초록

영어

Recently, Compressive Sensing (CS) has been applied to array signal processing. In theory, Direction-of-Arrival (DOA) estimation based on CS recovery can work well in correlated environments. However, a large number of sensors (i.e., linear measurements) are still needed for CS recovery. To improve on this, we propose a new CS-based DOA estimation method with a recently designed antenna structure called the Asymmetric Antenna without Phase Center (Asym-AWPC). The best reconstruction is achieved by solving the l1-norm optimization problem, which is cast as an l1-regularized least-squares program. Simulated results indicate the effectiveness of the proposed CS-based Asym-AWPC DOA estimator in a multipath environment over a recent Asym-AWPC DOA estimator but using the Multiple Signal Classification (MUSIC) rather than CS. Further improvement on the resolution can be achieved by tuning the degree of asymmetry in designing the Asym-AWPC.

목차

Abstract
 1. Introduction
 2. DOA Estimation based on Asym-AWPC and MUSIC
  2.1. Asym-AWPC
  2.2. Data Model
  2.3. Results and Discussions
 3. DOA Estimation based on Asym-AWPC and CS
  3.1. Data Model
  3.2. Reconstruction Algorithm: -Regularized Least Squares
  3.3. Results and Discussions
 4. Improved Resolution by Decreasing Mutual Coherence
  4.1. Asym-AWPC Measurement Matrix Characteristics
  4.2. Results and Discussions
 5. Conclusions
 References

키워드

저자

• Tran Thi Thuy Quynh [ Faculty of Electronics and Telecommunications University of Engineering and Technology Vietnam National University, Hanoi, Vietnam ]
• Tran Duc Tan [ Faculty of Electronics and Telecommunications University of Engineering and Technology Vietnam National University, Hanoi, Vietnam ]
• Nguyen Linh-Trung [ Faculty of Electronics and Telecommunications University of Engineering and Technology Vietnam National University, Hanoi, Vietnam ]
• Phan Anh [ Faculty of Electronics and Telecommunications University of Engineering and Technology Vietnam National University, Hanoi, Vietnam ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605