Abstract
A novel two-dimensional (2-D) direction-of-arrival (DOA) estimation method exploiting cyclostationarity of the sources is presented. The proposed array of the method is composed of two parallel minimum-redundancy linear arrays (MRLAs). Compared with the two parallel uniform linear arrays (ULAs), this new sparse array geometry requires fewer sensors on condition of identical array aperture. Furthermore, by constructing the pseudo-data Matrices on the basis of the conjugate cyclic correlation functions of sensor outputs, the proposed method also extends the effective array aperture, which consequently improves the DOA estimation performances. In addition, the new method does not require any 2-D searching or pairing procedures. Computer simulations demonstrate the capabilities of our method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
