Radar Signal Deinterleaving and Modulation Type Recognition Dataset

Citation Author(s):
Qixian
Zhao
University of Science & Technology Beijing
Submitted by:
Qixian Zhao
Last updated:
Fri, 04/04/2025 - 04:16
DOI:
10.21227/k9zh-8y52
License:
Creative Commons Attribution
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Categories:
Signal Processing
Keywords:
time-frequency image
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Abstract 

This radar signal dataset comprises 10,000 simulated signals, providing a comprehensive resource for radar signal processing research and experiments. The dataset is designed to facilitate the study of various radar phenomena, including signal deinterleaving and modulation recognition analysis. The number of overlapping signals is uniformly distributed between 1 and 5, ensuring a wide range of complexity for testing algorithms under different interference conditions. Each signal file contains detailed pulse information, which supports robust analysis of radar performance. Researchers can leverage this dataset to develop, evaluate, and compare advanced radar signal processing techniques. The dataset is ideal for simulation and experimental studies.

Instructions: 

This dataset contains all the data used in our experiments. It includes a folder with 10,000 .txt files, where each file represents a signal. The number of lines in each file corresponds to the number of pulses within the sampling interval.

Each line in the .txt files contains four values that provide detailed information about each pulse:

  • Time of Arrival: Recorded in microseconds.

  • Instantaneous PRI Value: The pulse repetition interval at that moment.

  • Radar Radiation Source ID: Indicates the radar source to which the pulse belongs. If the signal comprises from N radars, the IDs will range from 1 to N.

  • PRI Modulation Type: A numerical code representing the modulation type of the PRI, where:

    • 1: Stable

    • 2: Jittered

    • 3: Slide+

    • 4: Slide-

    • 5: Dwell & Switch

    • 6: Sinusoidal

 

This structured format allows for efficient processing and analysis of the signals for various experimental and research applications.

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