Theoretical aspects of radar imaging using stochastic waveforms

Bell, Daryl C.; Narayanan, Ram M.

doi:10.1109/78.902122

Cited by 32 publications

(15 citation statements)

References 12 publications

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“…In (16), the constraint B P is specified by (15) and B 0 represents the a priori SSP distribution to be considered as a zero step approximation to the desires SSP estimate B .…”

Section: Bayesian Regularization Methodsmentioning

confidence: 99%

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Performance Study of the Robust Bayesian Regularization Technique for Remote Sensing Imaging in Geophysical Applications

Villalón-Turrubiates

Herrera-Nuñez

2009

2009 Mexican International Conference on Computer Science

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In this paper, a performance study of a methodology for reconstruction of high-resolution remote sensing imagery is presented. This method is the robust version of the Bayesian regularization (BR) technique, which performs the image reconstruction as a solution of the ill-conditioned inverse spatial spectrum pattern (SSP) estimation problem with model uncertainties via unifying the Bayesian minimum risk (BMR) estimation strategy with the maximum entropy (ME) randomized a priori image model and other projection-type regularization constraints imposed on the solution. The results of extended comparative simulation study of a family of image formation/enhancement algorithms that employ the RBR method for high-resolution reconstruction of the SSP is presented. Moreover, the computational complexity of different methods are analyzed and reported together with the scene imaging protocols. The advantages of the remote sensing imaging experiment (that employ the BR-based estimator) over the cases of poorer designed experiments (that employ the conventional matched spatial filtering as well as the least squares techniques) are verified trough the simulation study. Finally, the application of this estimator in geophysical applications of remote sensing imagery is described.

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“…In (16), the constraint B P is specified by (15) and B 0 represents the a priori SSP distribution to be considered as a zero step approximation to the desires SSP estimate B .…”

Section: Bayesian Regularization Methodsmentioning

confidence: 99%

“…In (15), the constraint operator G projects the portion of the unknown SSP onto the subspace where the SSP values are fixed by C. In practice, such limitations may specify also the system calibration [15].…”

Section: Experiment-design Considerationsmentioning

confidence: 99%

Performance Study of the Robust Bayesian Regularization Technique for Remote Sensing Imaging in Geophysical Applications

Villalón-Turrubiates

Herrera-Nuñez

2009

2009 Mexican International Conference on Computer Science

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“…Finally, the relationship between the SARL δ and the minimum SNR, which is required to resolve two closely spaced targets, is given by . The effect of RCS on the resolution limit can be concluded directly from (15). The resolution limit is improved as the RCS increases.…”

Section: Introductionmentioning

confidence: 94%

“…When computing ( ) As we have assumed that the spectral components at different frequencies are mutually orthogonal in Section II, then [15] ( ) ( ) ( )…”

Section: Introductionmentioning

confidence: 99%

Statistical angular resolution limit for array radar with ultrawideband stochastic signals

Zhou

Wang

Cheng

et al. 2014

2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)

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The 2-D angular resolution limit for array radar with ultrawideband (UWB) stochastic signals based on the statistical resolution theory is presented in this paper. The signal model of monostatic array radar with circular array configuration and UWB stochastic signals is established, while the resolution of two closely spaced targets is modelled as a binary hypothesis test. The statistical angular resolution limit (SARL) for array radar with UWB stochastic signals is derived based on the generalized likelihood ratio test (GLRT) with given probabilities of false alarm and detection. The effects of detection parameters, transmit waveforms, array geometry, signal-to-noise ratio and parameters of target on SARL are analysed. Compared with the conventional resolution defined by ambiguity function, the SARL reflects the practical resolution ability of radar and can provide an optimization criterion for radar system design.

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“…The range of these applications includes radar systems [1], interference-immune data transfer [2], radio acoustic atmospheric probing [3], and radar countermeasures [4]. All this stimulates significantly the development of the research associated with the issues of generating and controlling the parameters of high-power multi-frequency microwaves.…”

mentioning

confidence: 99%

Tuning of the self-modulation period in a relativistic BWO with strong reflections

Rozental

Sergeev

2007

Radiophys Quantum El

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We show the possibility of re-adjusting the self-modulation period in the variant of the backward wave oscillator with an external reflector by changing the position of the reflector. Thus, the possibility to partially control the generation spectrum is demonstrated. The theory is confirmed by the results of numerical modeling by the Particle-In-Cell method.1. The possibilities of using high-power multi-frequency microwave signals (including chaotic ones) in various applications have been actively discussed in recent years. The range of these applications includes radar systems [1], interference-immune data transfer [2], radio acoustic atmospheric probing [3], and radar countermeasures [4]. All this stimulates significantly the development of the research associated with the issues of generating and controlling the parameters of high-power multi-frequency microwaves.As applied to the relativistic backward-wave oscillator (BWO), the possibilities of controlling the spectrum of multi-frequency generation were first discussed in [5], where it was shown that the generation of several closely spaced frequencies can be realized in a sectioned system with stepwise variation of synchronism detuning between the beam and the operating mode, which is achieved by changing the period of the slowwave system in individual sections. Correspondingly, the difference of the generated frequencies is regulated by the detuning step, i.e., the period of the system.In this paper, we study an alternative way to generate signals with complex spectra, which is based on realization of the self-modulation regime in the BWO with an external reflector. In this case, we have an attractive possibility to change the generation spectrum by varying the position of the external reflector under conditions of invariable geometry of the interaction space and the parameters of the electron beam. It is known that in BWOs with strong external reflections, the spectral radiation lines in the regime of periodic self-modulation are close to the resonant frequencies of the aggregate electrodynamic system [6]. Correspondingly, one can adjust the self-modulation frequency by changing the distance to the reflector.2. Consider a model of the BWO with the electrodynamic system shaped as a section of a circular corrugated waveguide with a tubular electron beam. Suppose that a part of the signal from the BWO output is reflected from the reflector with the reflection coefficient R and is transmitted to the generator input with the delay t 0 . Within the approximation of a relatively small change in the electron energy in the interaction process, the dynamics of the BWO can be described by the system of equations (see [7])

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Theoretical aspects of radar imaging using stochastic waveforms

Cited by 32 publications

References 12 publications

Performance Study of the Robust Bayesian Regularization Technique for Remote Sensing Imaging in Geophysical Applications

Performance Study of the Robust Bayesian Regularization Technique for Remote Sensing Imaging in Geophysical Applications

Statistical angular resolution limit for array radar with ultrawideband stochastic signals

Tuning of the self-modulation period in a relativistic BWO with strong reflections

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