Design, performance, and applications of a coherent ultra-wideband random noise radar

Narayanan, Ram M.; Xu, Yi; Hoffmeyer, Paul D.; Curtis, John O.

doi:10.1117/1.601699

Cited by 113 publications

(38 citation statements)

References 5 publications

(4 reference statements)

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“…Random noise signal has been verified is an ideal OPEN ACCESS signal for through wall detection. By transmitting a random noise signal with an ultra wide band (UWB), the radar system has high range resolution and excellent ability to detect and recognize different types of small targets [2]. Furthermore, noise waveform has inherent immunity ability from detection, unintended interference, and hostile jamming.…”

Section: Introductionmentioning

confidence: 99%

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: 99%

Target Detection and Ranging through Lossy Media using Chaotic Radar

Wang

Yang

et al. 2015

Entropy

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“…In early times, noise sources are mainly thermal noises [20][21][22], but their generation is hard to control and their performance is hard to predict as well. With the development of chaotic theory, more and more researchers adopt chaotic signals as pseudo-noise signals.…”

Section: Introductionmentioning

confidence: 99%

Wide-Band Chaotic Noise Signal for Velocity Estimation and Imaging of High-Speed Moving Targets

Yang¹,

Zhang²,

Gu³

2015

PIER B

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Abstract-This paper proposes a burst model of chaotic noise signals with randomly stepped carrier frequencies for velocity estimation and high-resolution range imaging of high-speed moving targets. The random stepping of carrier frequencies is controlled by a combination chaotic map (CCM), which is generated by embedding a Logistic map into a Bernoulli map. The baseband noise signal adopts the CCM based frequency-modulation (CCM-FM) signal, which has good randomness and a thumbtack ambiguity function as well. The velocity estimation includes a coarse search and a precise search, where the coarse search is conducted with a fixed step to makes the velocity deviation less than the velocity resolution, while the precise search adopts the Golden Section Search (GSS) algorithm to get an accurate estimation of velocity. What should be emphasized is that the velocity estimation process can be completed with just a burst of subpulses. Then the spectra are coherently synthesized to obtain ultra-wide bandwidth and high-resolution range imaging. Finally, numerical simulations demonstrate a good performance of the proposed signal model and the processing algorithm.

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“…Random noise radar is a kind of radar which transmits stochastic/pseudo-stochastic signals [5][6][7][8][9][10][11][12]. It has good performance on electronic counter countermeasure (ECCM) and very low probability of interception, as well as achieving approximately "thumbtack" ambiguity function [5,6].…”

Section: Introductionmentioning

confidence: 99%

A Novel Sparse Stepped Chaotic Signal and Its Compression Based on Compressive Sensing

Yang¹,

Zhang²

2013

PIER

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Abstract-We propose a novel signal model by combining the sparse stepped frequency signals with chaotic signals, i.e., the sparse stepped chaotic signal (SSCS) model, as well as the corresponding compression algorithm based on compressed sensing. In SSCS, the chaotic signals are modulated to sparse stepped frequencies to compose a transmitting burst. When receiving, the echo signals are demodulated to the baseband and then can be sampled directly at a rate much lower than the Nyquist rate determined by the bandwidth of chaotic signal of each subpulse. Compared with radars using conventional stepped frequency waveforms, the SSCS radar can transmit fewer subpulses in a burst and directly use lower speed ADC next to the receiver. Both simulated and real radar data are processed to demonstrate the effectiveness of the proposed SSCS as well as the compression algorithm by which high resolution range profiles are very well reconstructed.

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Design, performance, and applications of a coherent ultra-wideband random noise radar

Cited by 113 publications

References 5 publications

Target Detection and Ranging through Lossy Media using Chaotic Radar

Target Detection and Ranging through Lossy Media using Chaotic Radar

Wide-Band Chaotic Noise Signal for Velocity Estimation and Imaging of High-Speed Moving Targets

A Novel Sparse Stepped Chaotic Signal and Its Compression Based on Compressive Sensing

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