Space-Time Adaptive Processing Clutter-Suppression Algorithm Based on Beam Reshaping for High-Frequency Surface Wave Radar

Round 1

Reviewer 1 Report

Avoid acronyms in titles. Acronyms could only be placed there when it is something universally recognised (like radar, laser, or ufo).
On all formulas enter the domain of existence.
why (30) has argmin and (31) has argmin(v)?
Please check consistency of (39).
Is it possible to insert an other measurment result?

The rest is fine.

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Reviewer 2 Report

The results presented in the paper are interesting and have high scientific soundness, but there are some issues which ,in my opinion, seem to be unclear.

1) All of the abbreviations should be clarified (e.g. SR-STAP, HFSWR).

2)  Please, describe the connection between the covariance matrix and a regularization algorithm for solving the  inverse problem  relating to the subject considered in the paper (I mean the determination of the target signal from the observation data). I think the useful signal can be restored from equation (4) by means of an appropriate regularization operator which could be build on the base of covariance matrix. The authors proposed an algorithm for the determination of the adaptive weight vector using the Langrange multiplier method (equations (34)-(35)). This method is effective when implemented as the part of a regularization procedure.

3) How do the algoritnms SR and BR work if other parameters are set? First of all, it is important to estimate their effectiveness if the dimensions of the steering vectors are large and very large (e.g. N= 10**6).

 

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Reviewer 3 Report

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Comments for author File: Comments.pdf

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Reviewer 4 Report

This paper proposes a clutter suppression method based on beam reshaping that estimates and maximally suppresses the clutter components in the side lobe while ensuring that the main lobe remains intact. Overall, this paper is interesting and complete. I have the following concerns:

1. It’s better to rewrite the abstract to clarify clearly, e.g., you should present the contribution of this paper and the results of comparison.

2. In the process of sparse representation, the clutter is considered to be gaussian distribution in equation 17. Is there any basis for this?

3. How is the amplitude of the side-lobe clutter component determined during the experiment? The explanation is not clear.

4. Why the results in Fig. 4a show that the main lobe clutter has less influence on the target when it is close to the target. Need explanation here.

Author Response

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Round 2

Reviewer 1 Report

Accepted