A New Architecture of Uwb Radar Utilizing Microwave Chaotic Signals and Chaos Synchronization

Qiao, Shan; Shi, Zhiguo; Jiang, Tao; Ran, Lixin

doi:10.2528/pier07052403

Cited by 49 publications

(24 citation statements)

References 24 publications

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“…Compared with random noise, the chaotic signal is controllable and can be synchronized between different radar systems with the same system parameters [6][7][8]. Furthermore, as the chaotic signal is sensitive to the initial value of the system parameters, the richer dynamics of the chaotic system guarantee ease of generation, good spectrum controllability and sidelobe suppression.…”

Section: Introductionmentioning

confidence: 94%

Target Detection and Ranging through Lossy Media using Chaotic Radar

Wang

Yang

et al. 2015

Entropy

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A chaotic radar system has been developed for through-wall detection and ranging of targets. The chaotic signal generated by an improved Colpitts oscillator is designed as a probe signal. Ranging to target is achieved by the cross-correlation between the time-delayed reflected return signal and the replica of the transmitted chaotic signal. In this paper, we explore the performance of the chaotic radar system for target detection and ranging through lossy media. Experimental results show that the designed chaotic radar has the advantages of high range resolution, unambiguous correlation profile, and can be used for through wall target detection and sensing.

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Section: Introductionmentioning

confidence: 94%

Target Detection and Ranging through Lossy Media using Chaotic Radar

Wang

Yang

et al. 2015

Entropy

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“…(ii) To explore the regions of unstable and/or chaotic mode of oscillation; this would provide a method of generation of microwave frequency chaotic signals from practical off-the-shelf GOs. Generation of microwave frequency chaotic signals using Colpitts oscillators, CMOS structures and Phase-locked loops has been reported in the literature [17][18][19][20][21][22]. These signals find application in chaotic UWB RADAR and other broad-band communication systems.…”

Section: Introductionmentioning

confidence: 99%

Studies on the Dynamics of Bilaterally Coupled X-Band Gunn Oscillators

Sarkar¹,

Sarkar²,

Sarkar³

et al. 2011

PIER B

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Abstract-The dynamics of a system comprising of two bilaterally coupled Gunn oscillators (BCGOs) has been examined using a circuit theoretic model of the Gunn oscillator (GO). The effects of coupling factors (k ij ) between i-th and j-th oscillators on the frequency-range of synchronized operation and the magnitude of common frequency of oscillation have been examined semi-analytically and by numerical solution of the system equations. The occurrence of chaotic oscillations at the verge of synchronization bands is observed in numerical simulation. The experimental response of the BCGO operating in the X-band is obtained and the results are found to be qualitatively similar to the analytical and numerical predictions.

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“…This spectrally parsimonious feature can be used to integrate several chaotic waveform radars to a network centric platform. Therefore, this field has attracted more and more attention [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Parameter Identifiability of Monostatic Mimo Chaotic Radar Using Compressed Sensing

Yang¹,

Zhang²

2012

PIER B

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Abstract-Compressed sensing (CS) has attracted significant attention in the radar community. The better understanding of CS theory has led to substantial improvements over existing methods in CS radar. But there are also some challenges that should be resolved in order to benefit the most from CS radar, such as radar signal with low signal to noise ratio (Low-SNR). In this paper, we will focuses on monostatic chaotic multiple-inputmultiple-output (MIMO) radar systems and analyze theoretically and numerically the performance of sparsityexploiting algorithms for the parameter estimation of targets at Low-SNR. The novelty of this paper is that it capitalizes on chaotic coded waveform to construct measurement operator incoherent with noise and singular value decomposition (SVD) to suppress noise. In order to improve the robustness of azimuth estimation interpolation method is applied to construction of sparse bases. The gradient pursuit (GP) algorithm for reconstruction is implemented at Low-SNR. Finally, the conclusions are all demonstrated by simulation experiments.

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A New Architecture of Uwb Radar Utilizing Microwave Chaotic Signals and Chaos Synchronization

Cited by 49 publications

References 24 publications

Target Detection and Ranging through Lossy Media using Chaotic Radar

Target Detection and Ranging through Lossy Media using Chaotic Radar

Studies on the Dynamics of Bilaterally Coupled X-Band Gunn Oscillators

Parameter Identifiability of Monostatic Mimo Chaotic Radar Using Compressed Sensing

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