A Parameter Estimation-Based Anti-Deception Jamming Method for RIS-Aided Single-Station Radar

Round 1

Reviewer 1 Report (Previous Reviewer 3)

Comments and Suggestions for Authors This paper introduces a novel method, based on parameter estimation with a virtual multi-station system, to discriminate range deceptive jamming. The system consists of a single-station radar assisted by the reconfigurable intelligent surfaces (RIS). I have the following comments: 1. The author innovatively applied RIS and radar, and suggested strengthening the description of the background and related methods, such as: Multi user communications for line of sight large intelligent surface systems; Energy efficiency performance in RIS-based integrated satellite–aerial–terrestrial relay networks with deep reinforcement learning;ISAC system assisted by RIS with sparse active elements; Adaptive resource optimization for edge inference with goal-oriented communications 2. Line 182: There is a formatting issue. 3. It is recommended to appropriately expand future research methods in the conclusion. 4. The yellow background color in the text can be removed. Overall, this article has a good structure and can be considered for minor revisions.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report (New Reviewer)

Comments and Suggestions for Authors

An anti-deception jamming method is studied by adding RIS to a mono-static radar. By analyzing the path difference between the true and deceiving targets gathered through special diverse RIS, the system has more degrees of freedom to resolve the true targets from the deceived ones.

However, the descriptions of the manuscript were not comprehensive enough to explain the superiority of the proposed method. It is hoped that the authors will make further improvements to the manuscript. Here are my specific comments:

1.    Provide the reference to support Eq 5-7. Or are they the assumptions used in this study? Please specified.

2.    Modifying Fig 1 to mark d_T, d_T,m, and d_R,m for a better understanding of the geometry between targets, RIS, and Radars.  

3. Provide the reference that supports Eq 29 as the subset of Chi-square distribution with 1 degree of freedom.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report (Previous Reviewer 2)

Comments and Suggestions for Authors

The comments are well addressed.

Author Response

Thank you very much. We have added references to the relevant formulas and made changes to Figure 1 to make this article easier to understand.

Round 2

Reviewer 1 Report (Previous Reviewer 3)

Comments and Suggestions for Authors

It can be accepted.

This manuscript is a resubmission of an earlier submission. The following is a list of the peer review reports and author responses from that submission.

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

This manuscript offers an anti-deception jamming method that utilizes the RIS assistance and the parameter estimation. The authors construct a virtual multi-station radar system based on the RIS and obtain multi-view spatial diversity gain. Then, the convex optimization method is applied to estimate the target location and deception range and to derive the CRLB. Finally, they design the optimal discriminator to distinguish true and false targets. The simulation results validate that this method can approach CRLB at higher SNR, confirming the effectiveness of this method.

 

While the paper's proposals for anti-deception jamming are interesting and seem valid, the reviewer has reservations on the following aspects and thinks the authors should revise this manuscript accordingly.

 

(1) An issue in the paper is the variables used and writing details, the author must diligently attend to the entire manuscript.

- The content of this paragraph (line 90-100) repeats the previous one (line 79-89).

- The abbreviations should be provided upon their initial occurrence. For example, in page 3, line 123, and page 4, line 128, signal-to-noise ratio (SNR).

- page 3, line 121: Pay attention to the capitalization of letters.

- Punctuation should be added following the formula.

(2) In (11), is there a definition pertaining to ‘h’? Furthermore, the author provides formulas for ‘h1, h2, …, hi’, please provide the details of the derivation.

(3) The authors consider the deception range Δd between the jammer and target in their analysis, does this process involve the influence of the azimuth and pitch angle? For instance, the jammer in front of or behind the target yields divergent outcomes. In addition, is it assumed that there is one jammer, and if there are multiple jammers, does the established model remain applicable?

(4) In the performance comparison, the authors have only compared the proposed approach of a virtual multi-station radar system based on RIS. Are there other comparative approaches that could further substantiate the advantages of the proposed algorithm?

(5) The authors have mentioned in Section 5 that the smaller the range between the RIS and the radar, the worse the discrimination performance. Is there a quantitative description that, when the distance between the RIS and the radar falls below a certain threshold, the outcomes of anti-deception jamming are false and lack any referential value?

 

Comments on the Quality of English Language

None

Reviewer 2 Report

Comments and Suggestions for Authors

Please see the attached file.

Comments for author File: Comments.pdf

Comments on the Quality of English Language

Minor editing of English language required.

Reviewer 3 Report

Comments and Suggestions for Authors

I think this article has the following issues: 1. Part of RIS is a passive metasurface, which is actually a reflective/transmissive array antenna in the field of antennas. The second part is the active control circuit, which mainly controls the on/off of the PIN diode to change the phase of the wave and achieve precise beam pointing. The combination of active control circuits and passive array antennas achieves beam reconfigurability. What is the author's main contribution to RIS? From the content of the article, it appears that no new RIS methods have been designed. 2. Regarding the application of RIS, the author did not provide any theoretical support, and formulas (1) to (20) do not involve RIS theory, which confuses readers. 3. Lack of comparative methods and real data analysis. 4. From the perspective of the thematic style of remote sensing journals, this article may not be suitable for publication in this journal. The author attempted to explain the problem through mathematical formulas and CRLB derivation, but did not involve any remote sensing, big data, image analysis, or actual data processing. The author used RIS for analysis, which may be more biased towards the scope of submissions in the fields of antennas, microwaves, and so on.