Abstract

The capacity to resolve closely spaced sources is one of the important issues of direction of arrival estimation algorithms. For this issue, we present a reduced subspace method based on invariance of noise subspace to the power of radiating sources. Unlike the conventional subspace methods, we use Eigen-values of reduced noise subspace to estimate direction of arrival of narrowband sources with a large array. Our approach is based on the Nystrom method. The main advantage of this method is its low computational complexity. Simulations show that the performances of the proposed method are superior to those of MUSIC when the sources are close and with power level differences between them.

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 call

Disclaimer: 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.