Synchronisation of bistatic radar using chaotic AM and chaos‐based FM waveforms

Pappu, Chandra S.; Flores, Benjamin C.; Debroux, Patrick S.; Verdin, Berenice; Boehm, James

doi:10.1049/iet-rsn.2016.0043

Cited by 7 publications

(6 citation statements)

References 27 publications

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“…Compared with the random noise signal, a wideband chaotic signal with large amplitude can be easily generated by simple nonlinear dynamical systems. Moreover, unlike noise, the chaotic signal is deterministic in that it is controllable and offers the possibility of synchronization [5,6]. Extensive studies have demonstrated that chaos TWI radar, which transmits a chaotic signal directly or chaos-based amplitude/frequency/phase modulated signal, has good range-Doppler resolution, excellent sidelobe suppression, and anti-jamming performance [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Improved Clutter Removal by Robust Principal Component Analysis for Chaos Through-Wall Imaging Radar

et al. 2019

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Chaos through-wall imaging radar has attracted wide attention due to its inherent low probability of detection/interception, strong anti-jamming, and high resolution. However, the target response is usually overwhelmed by strong clutter. This paper proposes an imaging-then-decomposition method based on two-stage robust principal component analysis (RPCA) to remove the clutter and recover the target image. The proposed method firstly focuses the energy of the preprocessing data by the back-projection imaging algorithm; then, it performs matrix decomposition on the full and the sparse component of the focused data, in succession, by the RPCA algorithm. Simulation and experimental results show that the proposed method can suppress the clutter dramatically and indicate human targets distinctly. Compared with the traditional methods, it has effectiveness and superiority in improving the signal-to-clutter ratio.

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Section: Introductionmentioning

confidence: 99%

Improved Clutter Removal by Robust Principal Component Analysis for Chaos Through-Wall Imaging Radar

et al. 2019

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“…Although random signals with comparable bandwidths can certainly be generated by amplifying small-amplitude random sources such as thermal noise sources, it is difficult and costly to have comparable power limited by the broadband large-gain amplifiers [35]. Moreover, unlike noise, chaotic signals are deterministic in that they are controllable and offer the possibility of synchronization [36,37] and security detection. In addition, compared with PN code, chaotic signals have no “code length” limitation which will not render the detection ambiguous.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, compared with PN code, chaotic signals have no “code length” limitation which will not render the detection ambiguous. Therefore, chaotic signal has been widely explored in the radar field [35,36,37,38,39,40,41,42,43]. In most existing chaotic radar systems, chaotic signals are generated by a discrete map and used as a baseband signal for modulation, such as frequency-modulation, amplitude-modulation, phase-modulation and pulse modulation [37,38,39,40].…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Life Detection and Localization Using a Wideband Chaotic Signal with an Embedded Tone

Liu

Guo

et al. 2016

Sensors

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A hybrid life detection radar system which transmits a wideband chaotic signal containing an embedded single-tone is proposed. The chaotic signal is used for target localization by the time-domain correlation method and synthetic aperture technique, and the single-tone signal is used to measure the frequencies of breathing and heartbeat based on an on-chip split-ring integrated sensor and Michelson interference principle. Experimental results in free space and in through-wall scenarios demonstrate that the system can realize human detection and localization simultaneously with high range resolution, high sensitivity, and large dynamic range without complex signal processing. The range resolution is about 10 cm, and the dynamic range is 35 dB for the respiration signal detection and 25 dB for the heartbeat signal detection. Due to its good immunity to interference/jamming and high spectrum efficiency, the proposed system is suitable for post-disaster rescue, elder/infant/patient vitality monitoring, and anti-terrorism enforcement applications.

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“…In fact, there are many studies on complete synchronization and feedback control [7,8] in a radar system, but the limitation is raised due to its sensitivity to noise, and any tiny amounts of additive noise to the (echo) signal can degrade the synchronization quality, and the chaotic signals may not be synchronized [11]. Moreover, some CBRS systems have been widely studied, either with no modulation, such as pulse compression, or within a variety of modulation methods, such as continuous AM/FM/PM modulation where many CBRSs are utilized in microwave and UWB and laser applications [4,12,13]. One example was devoted to a microwave chaos signal practically generated through the Colpitts oscillator and directly transmitted through a wide-band antenna without modulation [7,8].…”

mentioning

confidence: 99%

“…To the best of our knowledge, some studies [17,18] are only concerned with the coupled systems without time delay in the presence of parameters mismatch. Other significant reports have also been devoted on the adaptive-observer synchronization schemes to solve this problem using different time-delay chaotic systems [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. Among these, Liu et al [16], He et al [19] and Huang et al [20] have discussed some approaches on synchronization of two coupled delayed systems with parameters mismatch under particular certain coupling strength for the delayed Lur'e systems.…”

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confidence: 99%

Synchronization of Monostatic Radar Using a Time-Delayed Chaos-Based FM Waveform

Mariam¹,

Al–Suhail

Tahir

et al. 2022

Remote Sensing

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There is no doubt that chaotic systems are still attractive issues in various radar applications and communication systems. In this paper, we present a new 0.3 GHz mono-static microwave chaotic radar. It includes a chaotic system based on a time-delay to generate and process frequency modulated (FM) waveforms. Such a radar is designed to extract high-resolution information from the targets. To generate a continuous FM signal, the chaotic signal is first modulated using the voltage control oscillator (VCO). Next, the correct value for the loop gain (G) is carefully set when utilizing the phase-locked loop (PLL) at the receiver, so that the instantaneous frequency that reflects a chaotic state variable can be reliably recovered. In this system, the PLL synchronization and radar correlation are enough to recover the echo signal and detect the target. The finding indicates that the system can be implemented with no need to use the complete self-synchronization or complex projective synchronization schemes as compared to the existing chaotic radar systems. The simulation results show that the short-time cross-correlation of the transmitted and reconstructed waveforms is good and satisfactory to detect the target under various signal-to-noise ratio (SNR) levels and with less complexity in the design.

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Synchronisation of bistatic radar using chaotic AM and chaos‐based FM waveforms

Cited by 7 publications

References 27 publications

Improved Clutter Removal by Robust Principal Component Analysis for Chaos Through-Wall Imaging Radar

Improved Clutter Removal by Robust Principal Component Analysis for Chaos Through-Wall Imaging Radar

Simultaneous Life Detection and Localization Using a Wideband Chaotic Signal with an Embedded Tone

Synchronization of Monostatic Radar Using a Time-Delayed Chaos-Based FM Waveform

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