Joint Implementation Method for Clutter Suppression and Coherent Maneuvering Target Detection Based on Sub-Aperture Processing with Airborne Bistatic Radar
, Haonan Zhang, Jiangyun Deng, Zihao Xiao, Chen Cheng, Xiaolong Li and Guolong CuiRound 1
Reviewer 1 Report
Comments and Suggestions for AuthorsPlease refer to the attached file.
Comments for author File: 
Comments.pdf
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Reviewer 2 Report
Comments and Suggestions for AuthorsThe joint implementation method based on sub-aperture processing to achieve clutter suppression
and maneuvering target coherent detection is proposed in this manuscript. The manuscript is well conceptually written and contains all the necessary elements. The manuscript deals with contemporary topics and solves current problems related to the processing of radar signals. However, in some segments, the work can be improved so that the methodology used to solve the problem is clearer to the reader.
In the first place, it is a small attention to the influence of a false alarm in the target detection process. the authors should direct more attention to the other traditional methods of detecting radar signals (for example, Swerling models). In contrast, the authors use a fixed false alarm rate (10^{-4}).
A large number of papers related to target detection by means of coherent integration (CI), modified location rotation transform (MLRT) and Keystone Transform Matched Filtering (KTMF) algorithm have been published in the last few years, in which the theoretical same idea is repeated, a practical solution methodology is proposed and simulation results are presented, so the manuscript has a very small contribution in relation to the competition.
In the theoretical description of the proposed algorithm, there is no connection between detection probability (P_D), false alarm and signal-to-noise ratio. The suggestion to the authors is to show the theoretical connection of these parameters, so that the child's probability diagrams of the signal-to-noise ratio would be clearer to the reader.
Comments for author File: Comments.pdf
Moderate editing of English language required.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Reviewer 3 Report
Comments and Suggestions for AuthorsThe proposed article is interesting and well argued. The introduction is clear and highlights the contributions of the work. The applied models are well argued.
The validation of the results needs to be made clearer.
The proposed approach is tested through Monte Carlo simulations. The testing framework should be better described, defining the sampling criteria, and highlighting how the probability of target identification is assessed.
Since an evident job of describing the proposed model has been done, it would also be useful to include details on the MC sampling system for testing.
Consequently, I suggest extending the conclusion by highlighting the limitations of the study and the reasons for caution (mainly related to the validation system), and highlighting possible future developments, and eventually the possibility of application in operational contexts.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
