Journal of Systems Engineering and Electronics ›› 2014, Vol. 25 ›› Issue (5): 755-759.doi: 10.1109/JSEE.2014.00087

• ELECTRONICS TECHNOLOGY • Previous Articles     Next Articles

Modified MUSIC estimation for correlated signals with compressive sampling arrays

Yan Jing1,2,*, Naizhang Feng2, and Yi Shen1   

  1. 1. School of Astronautics, Harbin Institute of Technology, Harbin 150080, China;
    2. School of Information and Electrical Engineering, Harbin Institute of Technology in Weihai, Weihai 264209, China
  • Online:2014-10-23 Published:2010-01-03


This paper addresses the issue of the direction of arrival (DOA) estimation under the compressive sampling (CS) framework. A novel approach, modified multiple signal classification (MMUSIC) based on the CS array (CSA-MMUSIC), is proposed to resolve the DOA estimation of correlated signals and two closely adjacent signals. By using two random CS matrices, a large size array is compressed into a small size array, which effectively reduces the number of the front end circuit. The theoretical analysis demonstrates that the proposed approach has the advantages of low computational complexity and hardware structure compared to other MMUSIC approaches. Simulation results show that CSAMMUSIC can possess similar angular resolution as MMUSIC.