Compressive Sensing-Based L1-SVD DOA Estimation

압축센싱기법 기반 L1-SVD 도래각 추정

Cho, Yunseong;Paik, Ji-Woong;Lee, Joon-Ho;Ko, Yo Han;Cho, Sung-Woo

  • Received : 2016.02.05
  • Accepted : 2016.03.28
  • Published : 2016.04.30


There have been many studies on the direction-of-arrival(DOA) estimation algorithm using antenna arrays. Beamforming, Capon's method, maximum likelihood, MUSIC algorithms are the main algorithms for the DOA estimation. Recently, compressive sensing-based DOA estimation algorithm exploiting the sparsity of the incident signals has attracted much attention in the signal processing community. In this paper, the performance of the L1-SVD algorithm, which is based on fitting of the data matrix, is compared with that of the MUSIC algorithm.


Compressive Sensing;Sparsity;AOA


  1. 이성현, 최인호, 김경태, "DBF 차량용 레이더를 위한 다중 표적의 정확한 각도 추정 연구", 한국전자파학회논문지, 19(3), pp. 294-303, 2008년 3월.
  2. Jun-Ho Choi, Cheol-sun Park, Sun-Phil Nah, and Won Jang", A multi-channel correlative vector direction finding system using active dipole antenna array for mobile direction finding applications", Journal of Electromagnetic Engineering and Science, vol. 7, no. 4, pp. 161-168, 2007년 12월.
  3. 이강인, 강원준, 양훈기, 정원주, 김종만, 저용식, "2차원 matrix pencil method 기반의 바이스태틱 MIMO 레이더 표적 도래각 추정", 한국전자파학회논문지, 25 (7), pp. 782-790, 2014년 7월.
  4. D. Malioutov, M. Cetin, and A. S. Willsky, "A sparse signal reconstruction perspective for source localization with sensor arrays", IEEE Trans. on Signal Process., vol. 53, no. 8, pp. 3010-3022, Aug, 2005.
  5. 배지훈, 강병수, 김경태, 양은정, "데이터 손실이 있는 RCS 데이터에서 압축 센싱 이론을 적용한 ISAR 영상복원 알고리즘 연구", 한국전자파학회논문지, 25(9), pp. 952-958, 2014년 9월.
  6. J. Proakis, Digital Communications, McGraw-Hill, 2001.
  7. T. J. Shan, M. Wax, and T. Kailath, "On spatial smoothing for direction-of-arrival estimation of coherent signals", IEEE Transactions on Acoust., Speech, Signal Processing, vol. 33, pp. 806-811, 1985.
  8. R. T. Williams, S. Prasad, A. K. Mahalannabis, and L. H. Sibul, "An improved spatial smoothing techniques for bearing estimation in a multipath environment", IEEE Transactions on Acoust., Speech, Signal Processing, vol. 36, pp. 425-432, 1988.