Emitter subset selection for passive multistatic synthetic aperture radar

Stevens, Sean R.; Jackson, Julie Ann

doi:10.1109/radar.2014.6875678

Cited by 1 publication

(14 citation statements)

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“…Nor does it account for potential grating lobes that arise in coherent multistatic image formation because of spatial diversity and frequency diversity of the bistatic pairs. We alternatively define the EMRA, as in [24], to be the area of an ellipse bounding those points in the system's multistatic point spread function (PSF) above a (nominally −3 dBsm) threshold. Singular value decomposition is used to find the major and minor axes and orientation of the EMRA ellipse fit to points in the PSF above the (−3 dBsm) threshold, as described in [24].…”

Section: Effective Multistatic Resolution Areamentioning

confidence: 99%

“…under assumptions of a fixed transmitter, a short receiver flight path centred around zero azimuth, and a scene under far field conditions [24]. In (10) B i is the bandwidth of the ith received signal, f i is the carrier frequency, N i is the number of collection points along the receiver flight path, Df R i is the azimuth extent of the flight path, and…”

Section: Effective Multistatic Resolution Areamentioning

confidence: 99%

“…We assume the transmitted signals are non-interfering and separable. Then, Equations (8.8) re-written for coherent multistatic image formation as [24] …”

Section: Contrast Ratiomentioning

confidence: 99%

“…Carrara [26] defines MNR as the sum of the receiver quantitative noise ratio (QNR), the ambiguity ratio [24].) a Bistatic PSFs and resolution ellipses b Coherent multistatic PSF and EMRA c GLRT multistatic PSF and EMRA www.ietdl.org (AMBR) and the PSF integrated sidelobe ratio (ISLR), so…”

Section: Contrast Ratiomentioning

confidence: 99%

“…The AMBR represents the ratio of the combination of all backscatter from ambiguous regions to the backscatter from the unambiguous region the scene falls within. We approximate AMBR for the ith bistatic pair as [24] AMBR i…”

Section: Contrast Ratiomentioning

confidence: 99%

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Emitter selection criteria for passive multistatic synthetic aperture radar imaging

Stevens

Jackson²

2014

IET Radar, Sonar & Navigation

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Passive radar provides a means of spectrum sharing in a congested environment. In passive radar, the radar design problem is one of emitter selection, rather than waveform optimisation. This study combines relevant criteria (signal-to-noise ratio, ambiguity function integrated sidelobes, effective multistatic resolution area and contrast ratio) in a multiobjective optimisation to select subsets of available emitters for passive multistatic synthetic aperture radar (SAR). Extensions to wellknown monostatic and bistatic performance criteria are defined for the multistatic SAR case. Assumed limitations in the number of available receiver channels constrain the emitter selection. The proposed emitter selection framework is demonstrated for a simulated scenario of 24 analogue and digital emitters, with a constraint of four receiver channels. Results indicate that the proposed ranking successfully differentiates between emitter sets resulting in good images and those sets resulting in poor images, providing a first step towards formulating a general image quality equation for multistatic SAR.

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Section: Effective Multistatic Resolution Areamentioning

confidence: 99%

Section: Effective Multistatic Resolution Areamentioning

confidence: 99%

“…We assume the transmitted signals are non-interfering and separable. Then, Equations (8.8) re-written for coherent multistatic image formation as [24] …”

Section: Contrast Ratiomentioning

confidence: 99%

Section: Contrast Ratiomentioning

confidence: 99%

Section: Contrast Ratiomentioning

confidence: 99%

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