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Article
Peer-Review Record

A Novel Architecture for Addressing the Throughput Bottleneck in Spaceborne Solid-State Recorder for Electromagnetic Spectrum Sensors

Remote Sens. 2025, 17(1), 138; https://doi.org/10.3390/rs17010138
by Xufeng Li 1,2, Li Zhou 1,* and Yan Zhu 1
Reviewer 1:
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Remote Sens. 2025, 17(1), 138; https://doi.org/10.3390/rs17010138
Submission received: 12 October 2024 / Revised: 19 December 2024 / Accepted: 2 January 2025 / Published: 3 January 2025

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

Dear authors, congratulations for the innovative work. Please consider addressing the following comments and suggestions to enhance the clarity and robustness of your manuscript.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

The article submitted for review concerns increasing the throughput in a recorder designed for analyzing the electromagnetic spectrum. Interesting work. My reservation concerns the lack of any relation of the level of the received electromagnetic spectrum from individual sensors of this spectrum. This may affect the final effect. 

1. The main question addressed by the research:

The throughput of current fast solid-state recorders (S-SSR) remains relatively low, which makes it difficult to store data completely. The authors presented a new architecture of fast S-SSR in their paper.

 

2. About the original:

The problem is current and the presented solution is original, allowing for increasing the data storage capacity.

 

3. Compared with other published material:

The basic operations performed by multi-plane commands include programming, reading and erasing functions. By performing these operations simultaneously on different planes, the overall performance of FLASH memory is significantly increased.

 

4.About methodology:

Analyze the level of the received signal from the sensors and normalize them for further processing.

 

5. About the conclusions and evidence:

The presented architecture of fast S-SSR developed in this study effectively solves the limitations of current mass storage systems in the context of electromagnetic spectrum detection in space applications.

 

6. About references:

References are appropriate.

 

7. Additional comments on the tables and figures:

The drawings are made carefully.

 

 

Comments on the Quality of English Language

The article submitted for review concerns increasing the throughput in a recorder designed for analyzing the electromagnetic spectrum. Interesting work. My reservation concerns the lack of any relation of the level of the received electromagnetic spectrum from individual sensors of this spectrum. This may affect the final effect.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

The paper is interesting the fact that S-SSR remains low making difficult to stored data, while data acquisition rates in magnetic electromagnetic spectrum sensors are very high. Here are my comments to the proposed architecture.

-In section 1, the proposed algorithm is shown as a flow chart approach. I'll suggest including the coding for clarification.

- In section 2, it's also recommended adding any modifications to the original code that address tolerance issues.

In addition, please elaborate on interleaved encoding in your conclusions about improving resistance and data integrity.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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