SAR with digital beamforming on receive only

Younis, Marwan; Wiesbeck, W.

doi:10.1109/igarss.1999.772091

Cited by 30 publications

(12 citation statements)

References 3 publications

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“…If the vector of measurements, , is defined as before, and the vector of noise values, , is jointly Gaussian, complex noise with zero mean and a covariance matrix given by , then the conditional density of the observation and RCS vectors becomes (20) Using (20), the maximum-likelihood (ML) estimator is obtained by maximizing the argument of the exponential function (21) The ML estimator then becomes (22) Next, if it is assumed that the noise samples are independent, then the noise covariance matrix is diagonal (23) where is the identity matrix. The ML estimator then reduces to (24) where denotes the pseudoinverse operation.…”

Section: Maximum-likelihood Filtermentioning

confidence: 99%

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Processing of multiple-receiver spaceborne arrays for wide-area SAR

Goodman

Lin

Rajakrishna

et al. 2002

IEEE Trans. Geosci. Remote Sensing

105

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Abstract-The instantaneous area illuminated by a single-aperture synthetic aperture radar (SAR) is fundamentally limited by the minimum SAR antenna area constraint. This limitation is due to the fact that the number of illuminated resolution cells cannot exceed the number of collected data samples. However, if spatial sampling is added through the use of multiple-receiver arrays, then the maximum unambiguous illumination area is increased because multiple beams can be formed to reject range-Doppler ambiguities. Furthermore, the maximum unambiguous illumination area increases with the number of receivers in the array.One spaceborne implementation of multiple-aperture SAR that has been proposed is a constellation of formation-flying satellites. In this implementation, several satellites fly in a cluster and work together as a single coherent system. There are many advantages to the constellation implementation including cost benefits, graceful performance degradation, and the possibility of performing in multiple modes. The disadvantage is that the spatial samples provided by such a constellation will be sparse and irregularly spaced; consequently, traditional matched filtering produces unsatisfactory results.We investigate SAR performance and processing of sparse, multiple-aperture arrays. Three filters are evaluated: the matched filter, maximum-likelihood filter, and minimum mean-squared error filter. It is shown that the maximum-likelihood and minimum mean-squared error filters can provide quality SAR images when operating on data obtained from sparse satellite constellations. We also investigate the performance of the three filters versus system parameters such as SNR, the number of receivers in the constellation, and satellite positioning error.

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Section: Maximum-likelihood Filtermentioning

confidence: 99%

“…In order to improve illumination coverage while maintaining azimuth resolution, multiple coherent receive apertures can be used [3], [11], [20], [21]. The illumination area is determined by the size of the individual apertures, and range-Doppler ambiguities that become illuminated are resolved through angle information provided to the system.…”

mentioning

confidence: 99%

Processing of multiple-receiver spaceborne arrays for wide-area SAR

Goodman

Lin

Rajakrishna

et al. 2002

IEEE Trans. Geosci. Remote Sensing

105

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“…DBF SYSTEM CONCEPT Fig. 1 shows the system concept for digital beamforming on-receive-only [1]. The SAR system is split up in the transmit and receive subsystems, respectively, which enables separate performance optimization.…”

Section: Introductionmentioning

confidence: 99%

Digital beamforming in sar systems

Younis¹,

Fischer²,

Wiesbeck³

2003

IEEE Trans. Geosci. Remote Sensing

Self Cite

222

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The rapid progression in digital hardware and signal processing capabilities stimulates the development of radar systems. The tendency is to move the digital interface toward the antenna, replacing, whenever possible, analog RF-hardware. Based on software codes, these digital systems are more flexible and easier to reconfigure than RF-hardware. This letter illustrates the general concept for digital beamforming (DBF) in synthetic aperture radar systems and investigates their principle capabilities, limitations, and performance parameters. It is shown that using DBF a simultaneous improvement in azimuth coverage and resolution can be achieved.Index Terms-Digital beamforming, digital radar, digital synthetic aperture radar (SAR), software-defined radar sensors.

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“…Most advanced digital hardware is used for the signal processing. The main change in the instrument hardware is the incorporation of transmit/receive modules, which enable advanced SAR modes and techniques [3], but are accompanied by a number of disadvantages regarding complexity, cost and calibration [4].…”

Section: International Journal Of Advanced Scientific and Technical Rmentioning

confidence: 99%

Mimo Radar With Digital Beamforming

Priyanka¹,

Jahnavi²,

Taskeen³

2017

IJASTR

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ABSTRACT:The first radar has been patented 110 years ago. Meanwhile the applications became numerous and the system concepts have been adopted to the available technologies. Typical applications are speed control, air traffic control, synthetic aperture radar, airborne and space borne missions, military applications and remote sensing. Research for medical radar applications is well progressing for breast cancer detection and tumor localization. Automobile radar for save and autonomous driving are meanwhile produced in millions per year. In the next years the state-of-the-art radar system concepts will experience almost a revolution. Despite the significant advancements, the radar system technology did not develop like communications or other technologies during the last 20 years. Some of these new technologies will within a few years penetrate radar and revolutionize radar system concepts. This will then allow for new radar features and radar signal processing approaches.

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SAR with digital beamforming on receive only

Cited by 30 publications

References 3 publications

Processing of multiple-receiver spaceborne arrays for wide-area SAR

Processing of multiple-receiver spaceborne arrays for wide-area SAR

Digital beamforming in sar systems

Mimo Radar With Digital Beamforming

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