• DocumentCode
    1648897
  • Title

    Angle of Arrival Estimation for Non-Circular Signals

  • Author

    Salameh, A. ; Tayem, N.

  • Author_Institution
    Florida Atlantic Univ., Boca Raton
  • fYear
    2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A new algorithm is introduced in this paper that estimates one dimension direction of arrivals utilizing coherent and noncoherent non-circular sources. Examples of such sources are binary shift keying (BPSK) and M-ary amplitude shift keying (MASK). This algorithm presents several advantages over the classical subspace algorithms such as Root MUSIC and forward/backward smoothing by Pillai et al. The two major advantages are that the proposed method does not require forward/backward spatial smoothing for the covariance matrix, hence decreasing the computational load and time. In addition to this, Pillai method can only detect 2N/3 coherent sources whereas our method can detect N-l sources where N is the number of antennas used. These advantages lead to more accurate estimation as well as better performance when compared to the conventional root MUSIC and the Pillai method.
  • Keywords
    amplitude shift keying; covariance matrices; direction-of-arrival estimation; phase shift keying; smoothing methods; M-ary amplitude shift keying; Pillai method; angle of arrival estimation; binary shift keying; classical subspace algorithms; covariance matrix; direction of arrival estimation; forward/backward spatial smoothing; noncircular signals; noncoherent noncircular sources; root MUSIC; Amplitude modulation; Amplitude shift keying; Antenna arrays; Binary phase shift keying; Covariance matrix; Direction of arrival estimation; Multiple signal classification; Sensor arrays; Signal to noise ratio; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sarnoff Symposium, 2006 IEEE
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    978-1-4244-0002-7
  • Type

    conf

  • DOI
    10.1109/SARNOF.2006.4534768
  • Filename
    4534768