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Peer-Review Record

DOA Estimation Algorithm for Reconfigurable Intelligent Surface Co-Prime Linear Array Based on Multiple Signal Classification Approach

Information 2022, 13(2), 72; https://doi.org/10.3390/info13020072
by Tianyu Lan 1, Kaizhi Huang 1,*, Liang Jin 1, Xiaoming Xu 1, Xiaoli Sun 1 and Zhou Zhong 1,2
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Information 2022, 13(2), 72; https://doi.org/10.3390/info13020072
Submission received: 2 January 2022 / Revised: 26 January 2022 / Accepted: 27 January 2022 / Published: 3 February 2022

Round 1

Reviewer 1 Report

#Add a separate related work section. Highlight the research gap.

The main novelty of the study needs to discuss.

Add a detailed discussion section.

More justification required for parameters section.

Discuss applications of such type of proposed technique. You may go through Wireless capsule gastrointestinal endoscopy: Direction-of-arrival estimation based localization survey. IEEE reviews in biomedical engineering, Antenna design and direction of arrival estimation in meta-heuristic paradigm: a review. International Journal of Service Science, Management, Engineering, and Technology etc.

#English needs to be revised. Reference section need more improvement.

Author Response

Thank you for your suggestions, please see the attachment for our response in detail.

Author Response File: Author Response.pdf

Reviewer 2 Report

-check caption and reference in text of  Figure 5 to Figure 6, since Figure 5 appears twice. p.9, line:310

-more details should be provided for the meaning and the limits of DOF for the improvements of the proposed algorithm

-further explanation for : “Secondly, the DOF of CLA is much greater than the number of physical sensors”  p.4,line:150

Author Response

Thank you for your suggestions, please see the attachment for our response in detail.

Author Response File: Author Response.pdf

Reviewer 3 Report

This paper presents a DOA estimation algorithm for reconfigurable intelligent surface co-current linear matrix based on multiple signal classification method.

The paper is an interesting application of the estimation algorithm. Simulation studies were carried out in Matlab environment. The effectiveness of the applied method and the thesis depends largely on the selection of criteria and data. The universality of the algorithm can sometimes have some limitations due to this. 

Minor remarks:
1) I suggest describing in more detail on what basis and from what the range of data selection for the study is based. 
2) The authors could refer in more detail to other algorithms and justify the choice of methods presented in terms of practical effectiveness.
3) There is an incorrect reference in the text to Figure 3 (Figure 2 is written).
4) The article needs minor language corrections.

Author Response

Thank you for your suggestions, please see the attachment for our response in detail.

Author Response File: Author Response.pdf

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