Radar signal design using chaotic signals

Ashtari, Ali; Gabriel, Thomas; Garcés, Héctor; Flores, Benjamin C.

doi:10.1109/wddc.2007.4339442

Cited by 16 publications

(9 citation statements)

References 11 publications

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“…The greater number of sequences and their inherent security improvement have been considered as the main advantages of chaotic generated sequences. In this paper an attempt is made to generate fourphase sequences using logistic map, improved logistic map, quadratic map and Cubic map and their properties like PSR and ISR for different lengths are studied [19][20].…”

Section: Chaotic Mapsmentioning

confidence: 99%

Fourphase Pulse Compression Sequences Generated using Chaotic Maps

Sridevi¹,

Seventline²,

Rani³

2012

IJCA

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Sequences with good correlation properties are in general required in various applications such as radar, sonar, spread spectrum and multiple access communication. The optimal sequences are the ones whose peak sidelobe of the aperiodic autocorrelation function is the minimum possible for a given sequence length. A chaotic sequence that provides auto and cross-correlation properties that are similar to those of random white noise is used for radar and spread spectrum systems. This paper presents a novel method of generating four phase codes applicable for radar pulse compression, which is derived from chaotic maps. It is also feasible to achieve simultaneously superior performances in detection range and range resolution using the proposed four phase coded sequences. The properties of these sequences like autocorrelation function, ambiguity function, Peak Sidelobe Ratio (PSR) and Integrated Sidelobe Ratio (ISR) have been studied. The properties of the codes generated by chaotic mapping method are very similar to those of the random four phase codes. The generation of these sequences is very simple, the available number of sequences is virtually infinite and number of sequences generated is not limited by the length of sequence.

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Section: Chaotic Mapsmentioning

confidence: 99%

Fourphase Pulse Compression Sequences Generated using Chaotic Maps

Sridevi¹,

Seventline²,

Rani³

2012

IJCA

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“…Chaotic signal is a kind of pseudorandom signal generated from a deterministic system. Compared with traditional noise signals, chaotic signal is much easier to generate and control, also the cost is lower [23,24].…”

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%

“…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]. Chaotic signal is one kind of pseudo-stochastic signals which has already been used in random noise radars [9][10][11][12]. In [10], point target imaging using chaotic FM signals was simulated.…”

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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Radar signal design using chaotic signals

Cited by 16 publications

References 11 publications

Fourphase Pulse Compression Sequences Generated using Chaotic Maps

Fourphase Pulse Compression Sequences Generated using Chaotic Maps

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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