Abstract
Near-field source localization has attracted much interest in many applications of radar, sonar, speech and seismology. In near-field, both the direction of arrival (DOA) and range are required for the localization. In order to reduce computational burden, a lot of methods perform 1-D estimation procedures based on symmetric array configurations, but with degrees of freedom about the half of the number of sensors. In this paper, we consider the near-field source localization problem with increased degrees of freedom, by using the property of quasi-stationary signals and Khatri-Rao product. In order to reduce the computational burden, we adopt the dimension-reduced technique by splitting the steering vector in terms of DOA and range. The DOAs are estimated through a one-dimensional search and the ranges are obtained with the estimated DOAs without searching or pairing. Simulations are provided to show the effectiveness of the proposed 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.
