Radar Emitter Recognition Based on Parameter Set Clustering and Classification

Round 1

Reviewer 1 Report

The authors investigate radar emitter recognition based on parameter set clustering and classification. The test results are also provided. In general, this paper is well written and the topic is interesting. I think that the quality of this paper can be improved if the authors address the following aspects:

 

1The deficiencies of existing approaches and the main contributions of this paper should be further summarized and clearly demonstrated. This reviewer suggests the authors to exactly mention what is new compared with existing approaches and why the proposed approach is needed to be used instead of the existing methods.

2 How scalable is the proposed method?

3 The computational cost of the proposed approach isn’t discussed in this work. The approach should be computationally efficient to be used in practical applications.

4 The proposed method might be sensitive to the values of its main controlling parameters. How did you determine the parameters? Please clarify.

5 Use of clustering and decision tree classification model for radar emitter recognition is key idea in this work. Authors are recommended to include the following recently studies that use clustering and classifier for pattern recognition in engineering to improve the literature survey: https://doi.org/10.1016/j.apenergy.2021.118347.

6 All references, especially article titles, should be in a uniform format.

7 In Fig. 8, there some Chinese words. There are some Chinese punctuation marks, such as “、” in Figure 3. Please double-check it.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

1. The authors of the article compiled a very poor literature review. This is just a total of 21 literature review items. All presented literature items are up-to-date. Please extend the review - bibliography with other literature items, articles and studies. The oldest item in the bibliography is item no. 11 --- Ford B P, Middlebrook V S. Using a knowledge-based system for emitter classification and ambiguity resolution. Proceedings of the IEEE National Aerospace and Electronics Conference, 1989, 1738-1746. -- it is still relevant in the topic of the article.

2. Please correct the description of Fig. 1 ---- Figure 1. Data noise in pulses. The description should be in English. What does the shaded area of the pulse in Fig. 1 b) mean. Please comment on this in the text of the article.

3. Please correct the description of Fig. 2 ---- Figure 2. decision tree. All lines in the figure are horizontal, only one is diagonal, please comment if it is to be like this or if there is a mistake.

4. Very weak conclusions, only four sentences to the whole article. Very long sentences should be shortened. Please add conclusions resulting from figures 5-8.

5. Please make a table with a list of the most important markings in the article - before the bibliography (literature list).

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

Thanks to the careful revision and detailed response made by the authors. All my concerns have been well addressed, and the revised manuscript has been much improved. I think this paper deserves to be published in its current form.