Asset Details
Do you wish to reserve the book?
Gradient‐projection based super‐resolution wideband DOA estimation using non‐uniform linear arrays
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Gradient‐projection based super‐resolution wideband DOA estimation using non‐uniform linear arrays
Do you wish to request the book?
Gradient‐projection based super‐resolution wideband DOA estimation using non‐uniform linear arrays
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Gradient‐projection based super‐resolution wideband DOA estimation using non‐uniform linear arrays
2023
Overview
A new method is developed for the Direction of Arrival (DOA) estimation of wideband sources by refining the initial estimates and posing the super‐resolution theory in a non‐convex optimization problem. A gradient‐projection method is conducted for the accurate estimation of DOAs. The proposed method can be performed by any non‐uniform linear array with no need for any focusing matrices. Moreover, a greedy search algorithm is employed to obtain initial estimates for super‐resolution implementation. Numerical simulations show the outstanding accuracy of the proposed method and more robustness to noise compared to some well‐known methods. It is also more effective for DOA estimation of adjacent sources. We develop a new method for the Direction of Arrival (DOA) estimation of wideband sources by refining the initial estimates and posing the super‐resolution theory in a non‐convex optimization problem.
Publisher
John Wiley & Sons, Inc
Subject
