The MIMO Radar Transmit Beampattern Matching Design with Sidelobe Suppression

Round 1

Reviewer 1 Report

The authors in this paper basically propose a wrapper around their prior work which iteratively adjusts the desired BF pattern around the point where the desired BF pattern differs from the resulting BF pattern the most. The authors demonstrated that the MSLR can be improved at the expense of slightly increased MSE. 

My major comment on the presentation is that there are a LOT of english language mistakes that can and should be corrected before the paper can be published. I suggest that the authors either get it professionally edited or use a service like grammarly to fix their mistakes. 

On the technical front, the authors should provide more details on the design choices made in the cosine method section. The authors should also provide some comparison in the numerical results section from existing work. 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Peer Review for The MIMO Radar Transmit Beampattern Matching Design with Sidelobe Suppression

The paper “The MIMO Radar Transmit Beampattern Matching Design with Sidelobe Suppression” was written by Xiaojun Zhang, Zishu He and Lez Rayman-Bacchus. Authors proposed the Cosine method for addressing the problem of sidelobe suppression in beampattern matching design. The multiple input and multiple output (MIMO) radar has been widely studied over the past years, researches shows that reducing sidelobe peaks essential to be more efficient for MIMO radar [1, 2, 3].  The Cosine method improves main to side lobe raito (MSLR) but also increases the mean square error between the desired and transmit beampatterns. This paper has an easy to read structure, on top of that the titles were chosen meticulously. Tables, figures and labels  well explained and easy to follow. This paper has the original idea of applying Cousine method to multiple input and multiple output (MIMO) radar. Nevertheless, this paper has an opportunity to improve MIMO radar.

 

 

[1]Lanterman, A. D., & Davis, M. S. (2015). Minimum integrated sidelobe ratio filters for MIMO radar. IEEE Transactions on Aerospace and Electronic Systems, 51(1), 405-416. doi:10.1109/TAES.2014.130745

[2]Liang, j., Fan, W., & Li, J. (2018). Constant Modulus MIMO Radar Waveform Design With Minimum Peak Sidelobe Transmit Beampattern. IEEE Transactions on Signal Processing(16), 4207-4222. doi:10.1109/TSP.2018.2847636

[3]Ma, C., Yeo, T., Tan, C., Qiang, Y., & Zhang, T. (2010). Receiver Design for MIMO Radar Range Sidelobes Suppression. IEEE Transactions on Signal Processing(58), 5469-5474. doi:10.1109/TSP.2010.2052615

Author Response

Thank you for your comments. We have cited the literature you provided.