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Chaotic Mapping-Based Anti-Sorting Radio Frequency Stealth Signals and Compressed Sensing-Based Echo Signal
Jinwei Jia1, Limin Liu1, Yuying Liang2
1Shijiazhuang Campus, Army Engineering University, Shijiazhuang 050003, China.
Entropy (Basel, Switzerland)
|November 11, 2022
Summary
This study introduces a novel radio frequency (RF) stealth anti-sorting technology using chaotic systems to improve radar survival. The developed signals effectively evade sorting and allow for accurate target velocity and distance detection via compressed sensing.
Area of Science:
- Radar technology
- Signal processing
- Chaos theory
Background:
- Radio frequency (RF) stealth anti-sorting technology is crucial for enhancing radar survivability in modern warfare.
- Existing sorting algorithms, like sequential difference histogram (SDIF) sorting, present vulnerabilities that necessitate advanced anti-sorting techniques.
- The development of robust methods to counter radar sorting is a significant research focus in the radar field.
Purpose of the Study:
- To explore the signal design principles for countering SDIF sorting algorithms.
- To develop a novel chaotic system for modulating signal pulse repetition periods.
- To apply compressed sensing (CS) for processing complex anti-sorting signals and extracting target information.
Main Methods:
- Investigated the signal design principles for anti-sequential difference histogram (SDIF) sorting.
- Designed a piecewise linear chaotic system with interval number parameterization for random disturbance.
- Modulated the repetition period of widely spaced signal pulses using the designed chaotic system.
- Utilized compressed sensing (CS) technology to process echo signals for velocity and distance measurement.
Main Results:
- Validated the effectiveness of the proposed signal design principles for anti-sorting radar signals.
- Demonstrated superior performance of the interval number-parameterized piecewise linear chaotic system compared to classical chaotic systems.
- Confirmed that the chaotic system-modulated signals achieve effective anti-SDIF sorting.
- Successfully recovered and reconstructed target velocity and distance using CS on the anti-sorting signals.
Conclusions:
- The developed signal design principles provide a reliable guide for creating effective anti-sorting radar signals.
- The novel chaotic system offers improved performance for signal modulation in stealth applications.
- The combination of chaotic modulation and CS processing enables robust radar anti-sorting and target parameter estimation.
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