Experimental Wireless Communication Using Chaotic Baseband Waveform

Yao, Junliang; Sun, Yu-Zhe; Ren, Hai‐Peng; Grebogi, Celso

doi:10.1109/tvt.2018.2882422

Cited by 41 publications

(68 citation statements)

References 54 publications

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“…Another simple design for chaos encoding and chaotic waveforms for wireless RF communication systems is proposed in [80]. To improve the BER performance and system data rate, recent techniques shown in [81], [82] can be utilized. Future work should include investigating the advantages of the methods proposed in [81], [82].…”

Section: A An Illustrationmentioning

confidence: 99%

Simultaneous Radar-Communication Systems Using Controlled Chaos-Based Frequency Modulated Waveforms

2020

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With the increase in demand for spectral resources and bandwidth constraints, efficient solutions for the coexistence of radar and communication systems are needed. Simultaneously, the development of multifunctional radio frequency (RF) systems with less hardware have received considerable attention. Most previous work on coexistence has focused on hardware design and mitigation of interference between radar and communication systems. This work proposes, a novel method for controlling a chaotic trajectory, which allows for the coexistence of both radar and communication systems. Binary information can be encoded in a chaotic state by adjusting its trajectory. In this approach, a state variable is selected to control the trajectory and generate a controlled chaos-based frequency modulated (CCBFM) waveform for joint radar-communication system signal transmission. We also design a communication receiver to decode the information and a radar receiver that extracts the signature of the target are designed accordingly. The performance of the controlled chaotic communication system is assessed in terms of the bit error ratio (BER). The analysis of the communication system shows that the CCBFM receiver performs reasonably well compared to a half-sine pulse frequency modulated (HSPFM) receiver. Analysis of the radar system performance is assessed using the entropy of the target's signature. The use of a CCBFM waveform leads to accurate target detection and classification for a signal-to-noise ratio as low as −30 dB. These analyses demonstrate that a CCBFM waveform can be successfully used for joint radar-communication systems in a shared spectrum. INDEX TERMS Controlled chaos, chaotic systems, joint radar-communication systems, Lorenz oscillator, radar imaging. Research (ONR) launched an Advanced Multifunction RF Systems (AMRFS) program [3] to develop a single system that performs multiple operations such as sensing, communication, electronic warfare, etc. Numerous studies have been dedicated to integrating radar and communication subsystems into a single system [4]-[8]. In spite of advances, the challenge of designing a singlewaveform transmission approach for joint radar and communication (RadCom) system remains [9]. The use of a single waveform for both radar sensing and communication data transmission is desirable to avoid multiple expensive RF transmitters [4]. A dual-function system that adopts this fixed signal approach would, of course, require a trade-off between its radar and communication performance [10]. For instance,

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Section: A An Illustrationmentioning

confidence: 99%

Simultaneous Radar-Communication Systems Using Controlled Chaos-Based Frequency Modulated Waveforms

2020

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“…In fact, the basis function given by Eq. (1) [21], [24] is used to encode the source code stream (information) by using the convolution of the basis function with the bipolar information bit [25]. By this way, the information is encoded into the chaotic baseband signal.…”

Section: System Working Principlementioning

confidence: 99%

“…At the same time, experimental circuit encoding and decoding methods for wireless communication were designed to validate the theoretical predictions [20]. Besides these advances, other advantages for using chaos into communication have been reported recently, including the use of simple matched filter to achieve the maximum signal to noise ratio [21], [22], and a decoding threshold using chaos property to relief Inter-Symbol Interference (ISI) caused by multi-path propagation [23], [24]. All these progresses pushed the research forward to the practical application of chaos in communication systems.…”

Section: Introductionmentioning

confidence: 99%

Radio-Wave Communication With Chaos

et al. 2020

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Chaotic signals require very wide bandwidth to be transmitted in a practical channel, which is difficult for the practical transducer or antenna to convert such a broadband signal. To address this problem, in this work, Chaotic Shape-forming Filter (CSF) is used to obtain the baseband signal, and the corresponding matched filter is used at the receiver to maximize the signal-to-noise ratio. At the same time, the symbol judgment threshold determined by the chaos properties is used to reduce the Inter-Symbol Interference (ISI) effect. Simulations and virtual channel experiments show that the radiowave communication system using chaos is inferior to the conventional radio-wave communication system using Square Root Raised Cosine (SRRC) shape-forming filter in a single path channel. This is because SRRC eliminates ISI in single path, but CSF does not. However, the chaos-based communication with anti-multipath decoding algorithm shows significantly better Bit Error Rate (BER) performance than the traditional communication system using SRRC and a minimum mean square error (MMSE) channel equalization in a multipath channel. This work shows the potential application prospect of chaos-based communication in future 5G or 6G engineering communication systems. INDEX TERMS Chaotic communication, Decoding, Multipath channels, Radio-wave communication.

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“…Equations (4) and (5) act as a chaotic shape forming filter in digital communication as defined in [32], which together with the corresponding matched filter defined in the following Eq. (6) play a role of maximizing the signal to noise ratio [12].…”

Section: Sohs-dcsk System Configuration a Second Order Hybrid Symentioning

confidence: 99%

Experimental Phase Separation Differential Chaos Shift Keying Wireless Communication Based on Matched Filter

2019

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New findings have been identified recently for chaos application in communication systems, including the simplest matched filter to maximize the signal-to-noise ratio (SNR) and the ability to resist multi-path propagation. However, chaos has a broad band frequency spectrum, which impedes its application in the conventional wireless communication systems due to the antenna and transducer bandwidth. To deal with such problem, the chaos generated by a second order hybrid system (SOHS) with a fixed basis function is used for Differential Chaos Shift Keying (DCSK) communication. A sinusoidal and its orthogonal signal are used to separate the reference signal and the information bearing signal, which are transmitted in the wireless channel. In such a way, the obstacle to broadband signal transmission in a wireless channel is overcome. A matched filter, using the convolution of the received signal and the time reverse of the basis function, maximizes the SNR at the receiver. Moreover, the proposed SOHS-DCSK provides an additional bitstream due to the chaotic signal generated by the SOHS, being capable to encode information as well. The two information sub-streams can be transmitted simultaneously in the proposed method, which possesses different bit transmission rates and reliability. In this way, the High Priority (HP) information bits are transmitted at a low transmission rate, while the Low Priority (LP) information bits are transmitted at a higher transmission rate. Hence, the proposed SOHS-DCSK method not only provides a higher data transmission rate as compared to the conventional DCSK but also makes the transmitted signal to be compatible with the conventional transducer and antenna. Due to the matched filter used, the proposed method achieves a lower bit error rate of the HP information as compared to the other existing enhanced DCSK variants for both additive white Gaussian noise channel and wireless communication channel. The numerical simulations and experiments based on the wireless open-access research platform show the validity and superiority of the proposed method. INDEX TERMS Chaotic shape forming filter, matched filter, DCSK, wireless communication.

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Experimental Wireless Communication Using Chaotic Baseband Waveform

Cited by 41 publications

References 54 publications

Simultaneous Radar-Communication Systems Using Controlled Chaos-Based Frequency Modulated Waveforms

Simultaneous Radar-Communication Systems Using Controlled Chaos-Based Frequency Modulated Waveforms

Radio-Wave Communication With Chaos

Experimental Phase Separation Differential Chaos Shift Keying Wireless Communication Based on Matched Filter

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