Phase Retrieval for Radar Constant–Modulus Signal Design Based on the Bacterial Foraging Optimization Algorithm

Round 1

Reviewer 1 Report

1)    Please collect all the acronyms employed throughout the manuscript in a given table for readers’ convenience.

2)    The review of related literature on waveform optimization in Sec. I should be complemented with a table categorizing the reviewed works along their main distinctive characteristics so as to better position the present contribution.

3)    Related to the above comment, the following related works on (constant-modulusu) waveform design have been missed by the authors:

Wu, Linlong, et al. "Constant-Modulus Waveform Design With Polarization-Adaptive Power Allocation in Polarimetric Radar." IEEE Transactions on Signal Processing (2023).

Cheng, Ziyang, et al. "Constant modulus waveform design for MIMO radar transmit beampattern." IEEE Transactions on Signal Processing 65.18 (2017): 4912-4923.


Cheng, Xu, et al. "Joint Design of Horizontal and Vertical Polarization Waveforms for Polarimetric Radar Via SINR Maximization." IEEE Transactions on Aerospace and Electronic Systems (2022).

4)    Please add a paper notation paragraph at the end of Sec. I.

5)    In my opinion, Fig. 1 should be improved/detailed to better underline the peculiarity of the considered system model.

6)    The authors should discuss the big-O complexity involved in the proposed BOFA-based signal waveform design.

7)    At the end of conclusion section, please enrich more the discussion on future research directions.

Mostly OK

Author Response

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Reviewer 2 Report

The authors of this work used the method the bacterial foraging optimization algorithm (BFOA) in  the field of radar waveform optimization to retrieve the optimal phases of the time domain constant-modulus signal. Simulation results according to derived algorithms indicate that the proposed algorithm has advantages, including insensitivity to initial phases, rapid convergence, smaller MI loss and MMSE compared with the iterative reconstruction algorithm.

Its disadvantage is that the proposed algorithm has higher complexity than the iterative reconstruction algorithm. The simulation results correspond to the simplifications adopted during the creation of the algorithms. The formal administration of the contribution requires modification. It would be appropriate to provide a description of the units on the Y-axis  ESD, MMSE and MI in fig. 3 to 8. Describe the diagram in fig. 2. Comment on the choice of simulation parameters in table number 2. I recommend accept the paper for publication after revision.

No.

Author Response

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Author Response File: Author Response.pdf

Reviewer 3 Report

Comments for author File: Comments.pdf

Author Response

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Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The authors have satisfactorily addressed my previous comments.

Mostly OK