Abstract
The rank-deficiency and subspace leakage caused by multipath effect are the main factors that lead to performance breakdown of direction of arrival (DOA) estimation in low-altitude environment. In this paper, we propose an orthogonal projection method based on signal subspace to overcome the negative effects of multipath. First, the signal covariance matrix is recovered to full-rank by forward and backward spatial smoothing (FBSS). Then, based on the least square technique, the signal subspace is used to establish the orthogonal projection matrix. Thereby the cross covariance matrices of signal and noise parts can be estimated and eliminated to modify the sample covariance matrix. Compared with the conventional methods that only dispose rank-deficiency, the proposed method has better performances in low-altitude environment. Besides, compared with the former orthogonal projection method based on steering matrix, this method reduces the computational complexity without iterative scheme. These conclusions are verified by simulations.
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 callMore From: AEU - International Journal of Electronics and Communications
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.
