WCA-Based Low-PSLL and Wide-Nulling Beampattern Synthesis for Radar Applications

Round 1

Reviewer 1 Report

A WCA-based PSLL and wide-nulling beampattern synthesis approach is addressed in this manuscript in the presence of array errors to improve the anti-jamming performance of radar system. Both of the results based on the signal processing technique and the electromagnetic HFSS workbench are provided, which verifies the effectiveness of the proposed approach. Moreover, the manuscript is well organized and written. Therefore, I recommend publishing this manuscript after minor revision.

The comments are listed as follows.

1.      Please check the grammar and sentence composition to further improve the manuscript. For example, in page 1 line 36, it should be “enhances” not “enhance”.

2.      More detailed descriptions should be provided for Figure 2.

3.      Eqs. (17) and (25) should be corrected since w is a 2M-dimensional vector.

4.      The second paragraph in subsection 4.1 should be simplified since duplicated descriptions exist. Moreover, the font size in Figure 6 should be increased to be consistent with other figures.

5.      The unit of the phase part of the optimal weight vector should be provided in Tables 5 and 9.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

In this paper, an effective low-PSLL and wide-nulling beampattern synthesis approach is discussed based on the WCA in the presence of array errors. In general, the authors’ work is well described. However, some details about their method should be discussed in detail.

 

 

1. In Eq.(17), the reviewer wanders to know how to determine the parameter α.

 

2. In Figure, 4, the authors show the flowchart of their method. From reviewer’s view, the authors should discuss the convergence robust of their iteration method.

 

3. Currently, many researchers find that the noise or interference is subjected to heavy-tailed distribution such as Middleton noise model [C1], alpha distribution [C2] and so on. The reviewer wanders to know whether the authors’ method can well cope with non-Gaussian noise such as Middleton noise model [C1] and alpha distribution [C2]. The authors should discuss this in their conclusions or discussion section, which would be helpful for other readers.

[C1]Zhang，et al．Parameter estimation of underwater impulsive noise with the Class B model．IET Radar, Sonar & Navigation，2020，Doi: 10.1049/iet-rsn.2019.0477．

[C2]Mahmood, et al, “Modeling Colored Impulsive Noise by Markov Chains and Alpha-Stable Processes,” in OCEANS 2015 MTS/IEEE, (Genoa, Italy), Doi: 10.1109/OCEANS-Genova.2015.7271550.

4. In Figure 8, the authors show normalized patterns before and after applying the proposed low-PSLL beampattern synthesis approach. However, the simulations cannot well validate the authors’ method. For example, the performance versus different SNRs, snapshot and so on should be conducted. The authors should enhance their simulations.

 

5. The weights may be not robust. That is to say, the weights may be estimated around the best one. At this point, the authors can discuss the influence of weight unrobust on the performance of their method.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

The reviewer has no more comments, and suggests that this paper is accepted.