Bayesian Direction of Arrival Estimation with Prior Knowledge from Target Tracker

Round 1

Reviewer 1 Report

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Comments for author File: Comments.pdf

Author Response

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Author Response File: Author Response.docx

Reviewer 2 Report

This is a relatively systematic and complete study. I recommend accept this manuscript after minor revision

 

1.      The manuscript format may not be correct. Please refer to the journal template.

2.      There is too much description of background, which is not common in abstract writing.

3.      Please check the format of Table 1.

4.      There are many Equations in the manuscript, which should be concise. In addition, some formulas should add the references.

5.      Line 142: “We” should be “we”.

6.      Try to minimize the expression of the first person.

7.      The author uses a lot of numerical simulation methods and gets good results. The classic question is, how do these results verify?

Moderate editing of English language required

Author Response

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Author Response File: Author Response.docx

Reviewer 3 Report

The authors use the predicted target angle information to leverage the current angle measurement in the Bayesian framework. It is interesting. But the complexity is significantly increased. I am very interested in its benefit compared to the angle estimation obtained on the tracking level with the Kalman filter. Moreover, the assumed signal model is based on ULA, which is not very popular due to its high cost. What would be the performance in a sparse array?  

Author Response

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Author Response File: Author Response.docx