Cognitive Sparse Imaging Method for MIMO Radar under Wideband Interference

Round 1

Reviewer 1 Report

The topics covered in the work are scientifically interesting and necessary. It is important to present the state of literature knowledge in the subject of the work as well as simulation and experimental research. There are no literature references to mathematical formulas in the article, which makes it difficult for the reviewer to assess which mathematical formulas are original. I did not find any significant substantive shortcomings in the article. I suggest editing the mathematical formulas (e.g. line 364-370, 733-737).

Author Response

Thank you for your useful suggestions. To make the formulas easy to follow, we have added literature references for Eqs. (3), (4), (25), (27), (31), (32), (34), and (35) in the revised manuscript. All other formulas are original or can be easily derived from the context. The incorrectly displayed formulas are caused by the special symbols and the conversion from WORD to PDF. The WORD version of the manuscript has no problems with formulas.

Reviewer 2 Report

This paper proposes a cognitive method for 3D high-resolution target imaging with reducing the sampling burden and the negative influence of WBI at the same time, based on a collocated wideband MIMO radar system using frequency-stepped narrow-band orthogonal signal and the sparse sampling approach. The feasibility of the method is verified by both simulation and experiment results. The paper is well-written and the content is comprehensive.

There are some minor comments needed to be addressed as follows.

1) The symbols are not displayed correctly in many equations, such as (30)-(31) and (40)-(42).

 2) In Figure 27, please provide the zoomed local image to show the details of array geometry and target setup.

 3) Please mark the true positions of targets in the experimental results.

 4) Please add the description of the imaging resolution in the simulation and experiment results.

Author Response

Thank you so much for your constructive comments and suggestions. The responses to your comments are in the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

In this manuscript, the authors propose a cognitive and sparse approach for MIMO radar 3D high-resolution target imaging under the condition of wideband interferences. Various simulation and experiment results are presented to validate the performance and advantages of their proposed method. In general, this manuscript is well-written and the results are convincing. Some comments are as follows.

 

1. In the Introduction part, the new methods proposed in more recent years for radar WBI suppression should be provided and discussed.

2. For clarity, the authors should provide the method used in this study for setting the modulation phases of different transmitting antennas.

3. For the reader’s convenience, the authors are suggested to discuss the method that can be used to obtain the target position {x,y,z} from the target parameter {α,β,γ}.

4. It is suggested to explain why selecting the Tensor-based SL0 algorithm for sparse imaging in the proposed method.

5. The computational complexities of different processing steps in the proposed imaging loop should be further compared.

Author Response

Thank you so much for your constructive comments and suggestions. The responses to your comments are in the attachment.

Author Response File: Author Response.pdf