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Article
Peer-Review Record

Computationally Efficient Direction-of-Arrival Estimation Algorithms for a Cubic Coprime Array

Sensors 2022, 22(1), 136; https://doi.org/10.3390/s22010136
by Pan Gong * and Xixin Chen
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Sensors 2022, 22(1), 136; https://doi.org/10.3390/s22010136
Submission received: 29 November 2021 / Revised: 16 December 2021 / Accepted: 20 December 2021 / Published: 25 December 2021
(This article belongs to the Special Issue Advances in Sparse Sensor Arrays)

Round 1

Reviewer 1 Report

Please, find in attached file my comments and suggestions.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The paper presents the problem of direction of arrival (DOA) estimation for massive multi-input multi-output (MIMO) radar, and propose a total array based multiple signals classification (TA-MUSIC) algorithm for two-dimensional direction of arrival (DOA) estimation with coprime cubic array (CCA). 

Before being suitable for publication, the authors should address these minor comments:

  1. Please rework the X and Y axes of Figure 2.
  2. A comparison table between the proposed method and the previous works is welcome to complete the introduction section and highlight the novelties of the proposed method.
  3. A more detailed description and presentation of each of the result graphs would be appreciated

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The authors revised the manuscript carefully, I'm generally satisfied with the revisions and improvements.

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