Radar target discrimination using the extinction-pulse technique

Rothwell, Edward J.; Nyquist, D.P.; Chen, Kun-Mu; Drachman, B.

doi:10.1109/tap.1985.1143697

Cited by 137 publications

(58 citation statements)

References 13 publications

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“…6(e)) by appropriately modifying the control signals to the optical driving waveforms. RF-AWG has the potential to impact fields such as ultra-wideband (UWB) wireless [13], which uses sub-nanosecond electrical bursts for communications and sensing, and impulse radar, where the use of highly structured transmit waveforms designed to optimize discrimination between different scattering targets has been proposed [14].…”

Section: Optical and Rf Arbitrary Waveform Generationmentioning

confidence: 99%

Spectral line‐by‐line shaping for optical and microwave arbitrary waveform generations

Huang

Jiang

Leaird

et al. 2008

Laser & Photonics Reviews

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Spectral line-by-line shaping is a key enabler towards optical arbitrary waveform generation, which promises broad impact both in optical science and technology. In this paper, generation of optical and microwave arbitrary waveforms using the spectral line-by-line shaping technique is reviewed. Compared to conventional pulse shaping, significant new physics arises in the line-by-line regime, where the shaped pulse fields generated from one laser pulse now overlap with those generated from adjacent pulses. This leads to coherent interference effects related to the properties of optical frequency combs which serve as the source in these experiments. We explore such effects in a series of experiments using several different high-repetitionrate optical combs, including harmonically mode-locked lasers and continuous-wave lasers that are externally phase modulated either with or without the help of an optical cavity. As an application of line-by-line pulse shaping, we describe generation of microwave electrical arbitrary waveforms that can be reprogrammed at rates approaching 10 GHz.Significance of line-by-line shaping: combining optical frequency combs with spectral pulse shaping

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Section: Optical and Rf Arbitrary Waveform Generationmentioning

confidence: 99%

Spectral line‐by‐line shaping for optical and microwave arbitrary waveform generations

Huang

Jiang

Leaird

et al. 2008

Laser & Photonics Reviews

View full text Add to dashboard Cite

show abstract

“…A variety of basis functions have been used in the expansion (4.6), including 6-functions [44,51] and polynomials [42,43]. While each choice has its own important motivation, perhaps the most versatile expansion is in terms of subsectional basis functions [49] revealing that the duration of a natural E-pulse is only dependent upon the imaginary part of one of the natural frequencies.…”

Section: Extension To Scattered Far Fieldsmentioning

confidence: 99%

“…Empirical results show that if Te is chosen to be less than the minimum natural E-pulse duration (4.11) the resulting E-pulse is highly oscillatory with a majority of its energy above wmax [42] and poor results are obtained in the presence of random noise. It is tempting to solve (4.12) in the least squares sense and choose the E-Dulse duration which produces a minimum error, but this approach is often misleading.…”

Section: Extension To Scattered Far Fieldsmentioning

confidence: 99%

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Radar Target Discrimination and Identification Using Extinction-Pulses and Single-Mode Extraction Pulses

Chen¹,

Nyquist²,

Rothwell³

1991

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“…The identification of radar targets can be achieved using various radar signatures, such as natural frequencies, high resolution range (HRR) profiles and inverse synthetic aperture radar (ISAR) images. Natural frequencies due to the resonance phenomena of a target are insensitive to its relative orientation, resulting in radar target identification with robust features [10][11][12][13]. However, in a real situation with noise and clutter signals, as well as the target signals, the accurate estimation of these natural frequencies is hard to achieve because their information is included in the late time responses, which are easily corrupted by noise and clutter [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study on Isar Imaging Algorithms for Radar Target Identification

Park¹,

Kim²

2010

PIER

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Abstract-Inverse synthetic aperture radar (ISAR) images represent the two-dimensional (2-D) spatial distribution of the radar crosssection (RCS) of an object and, thus, they can be applied to the problem of target identification. The traditional approach to ISAR imaging is the range-Doppler algorithm based on the 2-D Fourier transform. However, the 2-D Fourier transform often results in poor resolution ISAR images, especially when the measured frequency bandwidth and angular region are limited. Instead of the Fourier transform, high resolution spectral estimation techniques can be adopted to improve the resolution of ISAR images. These are the autoregressive (AR) model, multiple signal classification (MUSIC), and matrix enhancement and matrix pencil MUSIC (MEMP-MUSIC). In this study, the ISAR images from these high-resolution spectral estimators, as well as the FFT approach, are identified using a recently developed identification algorithm based on the polar mapping of ISAR images. In addition, each ISAR imaging algorithm is analyzed and compared in the framework of radar target identification. The results show that the dynamic range as well as the resolution of the ISAR images plays an important role in the identification performance. Moreover, the optimum size of the subarray (i.e., covariance matrix) for MUSIC and MEMP-MUSIC in terms of target identification is experimentally derived.

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Radar target discrimination using the extinction-pulse technique

Cited by 137 publications

References 13 publications

Spectral line‐by‐line shaping for optical and microwave arbitrary waveform generations

Spectral line‐by‐line shaping for optical and microwave arbitrary waveform generations

Radar Target Discrimination and Identification Using Extinction-Pulses and Single-Mode Extraction Pulses

A Comparative Study on Isar Imaging Algorithms for Radar Target Identification

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