ECCM capabilities of an ultrawideband bandlimited random noise imaging radar

Garmatyuk, Dmitriy; Narayanan, Ram M.

doi:10.1109/taes.2002.1145747

Cited by 77 publications

(45 citation statements)

References 17 publications

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“…In addition, the frequency-hopping code corresponding to the first CCM sequence is [0, 15,12,16,14,10,6,13,2,8,9,7,11,1,5,17,19,18,3,4], while the frequency-hopping code corresponding to the second CCM sequence is [0, 16,1,5,18,7,4,15,6,13,9,11,17,10,3,2,19,8,14,12]. Only the first elements of the two frequency-hopping codes are the same, while the others are completely different.…”

Section: Frequency-hopping Codementioning

confidence: 99%

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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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Section: Frequency-hopping Codementioning

confidence: 99%

“…Noise radars have attracted more and more attention owing to their random waveforms, efficient spectrum utilization, good ECCM capability and LPD/LPI characteristics [5][6][7].…”

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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show abstract

“…Noise radar has been developed and refined for covert detection and imaging applications over the past few decades due to several advantages, such as low probability of interception (LPI) [1][2][3], electronic counter-countermeasure (ECCM) [4][5][6], and relatively simple hardware configurations [7][8][9]. Further, ultrawideband (UWB) noise radar has achieved high-resolution detection and imaging in foliage penetration (FOPEN) imaging [10,11], through-wall imaging (TWI) [12][13][14], and ground penetration radar (GPR) imaging [15,16] by employing an ultrawide bandwidth.…”

Section: Introductionmentioning

confidence: 99%

Ultrawideband Noise Radar Tomography: Principles, Simulation, and Experimental Validation

Shin

Narayanan

Asmuth

et al. 2016

International Journal of Microwave Science and Technology

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The paper introduces the principles, simulation results, and hardware implementation of ultrawideband (UWB) noise radar for obtaining tomographic images of various scenarios of rotating cylindrical objects using independent and identically distributed UWB noise waveforms. A UWB noise radar was designed to transmit multiple UWB random noise waveforms over the 3-5 GHz frequency range and to measure the backward scattering data for the validation of the theoretical analysis and numerical simulation results. The reconstructed tomographic images of the rotating cylindrical objects based on experimental results are seen to be in good agreement with the simulation results, which demonstrates the capability of UWB noise radar for complete two-dimensional tomographic image reconstruction of various shaped metallic and dielectric target objects.

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“…Noise SAR makes random noise radar acquire the capability to imaging, meanwhile it improves the performance of anti-jamming for SAR system due to its truly random transmission signal [16]. It has become a useful remote sensor for military and civil missions, such as high-resolution land mapping, wave height monitoring, forest inventory, etc.…”

Section: Introductionmentioning

confidence: 99%

A stable realization of apodization filtering applied to noise SAR and SAR range sidelobe suppression

Wang

et al. 2012

EURASIP J. Adv. Signal Process.

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Pulse response of radar system always suffers from high sidelobe level resulting in resolution degradation. Investigated here is a sidelobe suppression method based on apodization filtering technique for range responses of synthetic aperture radar (SAR) and noise SAR systems. The core of apodization filtering is finding an appropriate filtering vector in time domain. Compared with original apodization filtering, the proposed method could be realized stably because it could get correct filtering vector efficiently. This method contains three important steps: constructing coefficient matrix and desired response vector; performing ill-posed analysis; and solving equation to find filtering vector. In these steps, convolution kernel method is adopted to construct coefficient matrix; spectral condition is introduced as an indicating function for ill-posed analysis; and total variation method is used to resolve ill-posed equation for getting filtering vector. Elaborate theoretical derivation is presented to demonstrate the feasibility of this method. In order to test its effect, simulation experiments are implemented. Simulation results show that there is a great suppression of range sidelobes after processed by this method. With increasing filter length, the performance of filtered output is improved but time cost is increasing correspondingly. Furthermore, the proposed method is also effective with noise disturbance.

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ECCM capabilities of an ultrawideband bandlimited random noise imaging radar

Cited by 77 publications

References 17 publications

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

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

Ultrawideband Noise Radar Tomography: Principles, Simulation, and Experimental Validation

A stable realization of apodization filtering applied to noise SAR and SAR range sidelobe suppression

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