Design of Multi-Parameter Compound Modulated RF Stealth Anti-Sorting Signals Based on Hyperchaotic Interleaving Feedback

Jia, Jinwei; Han, Zhen; Liang, Yuying; Liu, Limin; Wang, Xuetian

doi:10.3390/e24091283

Cited by 4 publications

(4 citation statements)

References 17 publications

(17 reference statements)

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“…In Equation (1), P k represents the total classification space of data, and C 1 , C 2 , C 3 , • • • , C k is each cluster center in the data space. D il refers to the data points belonging to class C i , and M i is the cluster center of class C i .…”

Section: K-means Clustering Algorithm Based On Data Fieldsmentioning

confidence: 99%

“…In order to verify the correctness of the signal design principle, a comparative simulation is carried out in this section. The specific principles of the simulation are as follows: 1 The simulation mainly simulates two kinds of signals with a wide interval agility and a non-wide interval agility of the parameter center value. 2 The central value's wide interval agility of the multi-dimensional signal parameters can be divided into two aspects: parameter multi-dimensionalization and parameter wide interval agility.…”

Section: Simulation Verification Of Signal Design Principlementioning

confidence: 99%

“…Seizing electromagnetic power is the key to victory in electronic warfare, and electronic reconnaissance is the first step in acquiring electromagnetic power. Wideband real-time electronic reconnaissance systems represented by radar alarm receivers play an important role in electronic reconnaissance [1,2]. According to the signal detection process of electronic reconnaissance systems, the radio frequency (RF) stealth of radiation sources mainly involves anti-interception [3][4][5], anti-sorting [6], and anti-identification.…”

Section: Introductionmentioning

confidence: 99%

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Design Principle of RF Stealth Anti-Sorting Signal Based on Multi-Dimensional Compound Modulation with Pseudo-Center Width Agility

et al. 2022

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Anti-sorting signal design is an important direction of radio frequency (RF) stealth signal design. The RF stealth signal design is based on the anti-sorting signal design principle, which is essentially the failure principle of the radar signal sorting algorithm. Cluster pre-sorting, the key to radar signal sorting, has the advantages of fast sorting, simultaneous sorting of multiple sources, and greatly reduced computational pressure of the main sorting. However, a unified and widely applicable cluster-sorting failure principle guiding the anti-sorting signal design has not been formally reported in RF stealth anti-sorting signal design. In this paper, the principles of the data field-based K-means clustering algorithm and the fuzzy C-means clustering algorithm are first studied. Aiming at the key step of data similarity measurement in the clustering algorithm, the failure principle of cluster sorting based on pseudo-center wide-agile multi-dimensional compound modulation is proposed. This principle can correctly guide the design of the anti-clustering sorting signal, so it is also called the design principle of the RF stealth anti-sorting signal based on pseudo-center wide-agile multi-dimensional compound modulation. The correctness of the principle is proved by formula derivation, signal simulation, and a sorting experiment. Through a signal comparison simulation with random interference pulse anti-sorting signals, it is strongly proved that the anti-sorting performance of signals designed under the guidance of the anti-clustering signal design principle proposed in this paper is stronger than that of random interference pulse signals. This study provides theoretical support for designing RF stealth anti-sorting signals. Using the signal design principle proposed in this paper, the anti-sorting performance of the RF stealth signal is improved by 10%. The principle of signal design helps to improve design efficiency.

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Section: K-means Clustering Algorithm Based On Data Fieldsmentioning

confidence: 99%

Section: Simulation Verification Of Signal Design Principlementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Design Principle of RF Stealth Anti-Sorting Signal Based on Multi-Dimensional Compound Modulation with Pseudo-Center Width Agility

et al. 2022

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“…In signal modulation and other fields, it is desirable to use the strong randomness of high-dimensional chaotic systems and the high time requirement. Therefore, Jia Jinwei [ 31 ] designed a two-dimensional interleaving feedback chaotic system based on cosine exponents. The designed chaotic system was used to modulate multiple signal parameters, and the composite modulation of signal parameters was realized.…”

Section: Introductionmentioning

confidence: 99%

Chaotic Mapping-Based Anti-Sorting Radio Frequency Stealth Signals and Compressed Sensing-Based Echo Signal Processing Technology

Jia

Liu

Liang

et al. 2022

Entropy

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Radio frequency (RF) stealth anti-sorting technology can improve the battlefield survival rate of radar and is one of the research hotspots in the radar field. In this study, the signal design principle of anti-sequential difference histogram (SDIF) sorting was explored for the main sorting algorithm of the SDIF. Furthermore, we designed a piecewise linear chaotic system with interval number parameterization based on random disturbance and proposed a method to modulate the repetition period of widely spaced signal pulses using a chaotic system. Then, considering the difficulty of the traditional signal processing method to measure the velocity of the highly random anti-sorting signals designed in this paper, we used compressed sensing (CS) technology to process the echoes of the signals to solve the velocity and distance of the detection targets. Finally, simulation verification was performed from the correctness of the signal design principle, the performance of the chaotic system, the anti-sorting performance of the designed signals and the recovery and reconstruction performance of the signals by CS. The results show that: (a) the signal design principle presented in this paper can guide the signal design correctly; (b) the performance of the piecewise linear chaotic system with interval number parameterization is better than that of the classical one-dimensional chaotic system; (c) the anti-sorting signal modulated by the chaotic system can achieve anti-SDIF sorting, and the anti-sorting signals designed in this paper can be processed to obtain the velocity and distance of the targets.

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DOA estimation and signal sorting methods of multi-baseline polarized interferometer

Qu,

Liu,

Zhang

et al. 2024

Digital Signal Processing

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Design of Multi-Parameter Compound Modulated RF Stealth Anti-Sorting Signals Based on Hyperchaotic Interleaving Feedback

Cited by 4 publications

References 17 publications

Design Principle of RF Stealth Anti-Sorting Signal Based on Multi-Dimensional Compound Modulation with Pseudo-Center Width Agility

Design Principle of RF Stealth Anti-Sorting Signal Based on Multi-Dimensional Compound Modulation with Pseudo-Center Width Agility

Chaotic Mapping-Based Anti-Sorting Radio Frequency Stealth Signals and Compressed Sensing-Based Echo Signal Processing Technology

DOA estimation and signal sorting methods of multi-baseline polarized interferometer

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