A Phase-Coded FMCW-Based Integrated Sensing and Communication System Design for Maritime Search and Rescue
Round 1
Reviewer 1 Report
Comments and Suggestions for AuthorsThe paper proposes an ISAC system using phase-coded FMCW waveforms in a 4x4 MIMO architecture for maritime search and rescue. The following changes are recommended to improve the quality of the presented work.
- Page 6 line 2: Typo.
- Monto Carlo should be corrected to Monte Carlo - Abstract.
- Please use consistent terminology: S&R or SAR.
- Radiocommunication is two separate words, i.e. radio communication.
- How would the performance be affected in the case of bulk Doppler expected for dynamic targets?
- What false alarm rate is used for the probability of detection plots?
- The caption of Fig. 10 shows 200 trials, however, the text says 1000 trials.
- Can you comment on the effect of sea state on the performance of ISAC?
- How would the performance be affected in a real maritime environment, where, e.g. there are occlusions?
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Reviewer 2 Report
Comments and Suggestions for AuthorsThis manuscript presents a comprehensive study on a 4×4 MIMO phase-coded FMCW-based ISAC system tailored for maritime search and rescue (SAR). By incorporating Zadoff–Chu (ZC) coding into FMCW chirps and modeling sea clutter via a compound K-distribution, the authors address simultaneous high-resolution sensing and reliable communication under challenging maritime conditions. The topic is timely and relevant, especially in the context of next-generation maritime radar systems integrating sensing and communications. The work is generally well-motivated, mathematically detailed, and supported by extensive simulations. However, while the technical approach is solid, several aspects require clarification, refinement, and deeper analysis before the paper is suitable for publication.
- While the integration of ZC-coded FMCW for ISAC in maritime SAR is interesting, the novelty relative to prior radar-centric ISAC works is not fully emphasized. In addition, why ZC is applied instead of Flage sequency [R1], which should be discussed in this work. [R1]"Flag Sequence Set Design for Low-Complexity Delay-Doppler Estimation," in IEEE Transactions on Vehicular Technology, 2025.
- The proposed contributions are primarily simulation-based; the paper would benefit from a stronger statement on what is fundamentally new in waveform design or detection methodology beyond applying known ZC codes in a maritime clutter context.
- The paper assumes static clutter statistics and fixed target positions in most scenarios. Real SAR conditions involve time-varying sea states, moving platforms, and non-stationary clutter, which could degrade performance.
- The simulation does not incorporate Doppler spread due to platform motion, hardware impairments, or multipath from ship superstructures, which may significantly affect micro-Doppler extraction.
- The energy-based peak selection may not be optimal in dense multitarget or fluctuating SNR scenarios. More advanced detection methods (e.g., CFAR, STAP, sparse recovery) could be considered or at least discussed.
- Channel estimation errors are fixed at σest = 0.05; the sensitivity of BER performance to estimation accuracy is not analyzed.
- Beamforming assumes perfect knowledge of the target angle; robustness to angle estimation errors should be addressed.
- Real-time computational complexity and memory requirements of the proposed processing chain are not discussed, which is important for SAR deployment.
- While OFDM is used for communication benchmarking, the paper would benefit from comparing sensing performance against other ISAC waveforms (e.g., OTFS and AFDM). [R2]"A Unifying View of OTFS and Its Many Variants," in IEEE Communications Surveys & Tutorials, 2025.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Round 2
Reviewer 2 Report
Comments and Suggestions for AuthorsI have no further comments and suggest accepting the current version.