Microwave radar imaging of rotating blades

Tran, Hai-Tan; Melino, Rocco; Berry, Paul E.; Yau, D.

doi:10.1109/radar.2013.6651985

Cited by 18 publications

(12 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We use 32 scans to give a dwell time T of 324.48 ms. This results in a Doppler frequency resolution of 3.1 Hz by (3). In total, we take 1201 scans.…”

Section: B Radar Parametersmentioning

confidence: 99%

“…Objects with rotating blade features, such as helicopters and wind turbines, are ideal targets for ISAR imaging [3,4]. These rotational devices have typically been limited to large scale or expensive implementations; making personal imaging irrelevant.…”

Section: Introductionmentioning

confidence: 99%

“…ISAR focused research uses such tools as vector network analyzers [6], military grade radars [3], or other high end undisclosed radars [7]. In our paper, we utilize the PulsON 410, a commercial off the shelf UWB radar sensor [8], to implement ISAR imaging of a threebladed object, paving the way to image a drone object.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

ISAR imaging of rotating blades with an UWB radar

Troy

Thompson

2015

2015 Texas Symposium on Wireless and Microwave Circuits and Systems (WMCS)

View full text Add to dashboard Cite

ISAR imaging is performed on a 3 bladed rotating target with a low cost UWB Radar. Design constraints and radar parameters are referenced. A difference scheme is introduced to reduce the scattering from indoor clutter. Range-Doppler images are generated and compared between raw data processing and difference data processing. Time-varying target characteristics can be clearly observed from the resulting images.Index Terms -Inverse synthetic aperture radar, radar imaging, ultra wideband radar.

show abstract

“…We use 32 scans to give a dwell time T of 324.48 ms. This results in a Doppler frequency resolution of 3.1 Hz by (3). In total, we take 1201 scans.…”

Section: B Radar Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

ISAR imaging of rotating blades with an UWB radar

Troy

Thompson

2015

2015 Texas Symposium on Wireless and Microwave Circuits and Systems (WMCS)

View full text Add to dashboard Cite

show abstract

“…With reference to latter meaning, we state that the aim of this paper is to synthesize high resolution ISAR images of a small professional quadcopter. Although in a real application the effects the rotation of blades should be considered [8,9], in this preliminary study the blades will be assumed not rotating.…”

Section: Introductionmentioning

confidence: 99%

2D and 3D-ISAR images of a small quadcopter

Pieraccini

Rojhani

Miccinesi

2017

2017 European Radar Conference (EURAD)

View full text Add to dashboard Cite

show abstract

“…Such a variation represents a unique signature of the target which can be exploited for civil and military purposes as classification, identification and radar imaging [1], or even medical applications as rehabilitation. In the last decade several mD-based radar techniques have been presented [2].…”

Section: Introductionmentioning

confidence: 99%

Model-based sparse recovery method for automatic classification of helicopters

Gaglione

Clemente

Coutts

et al. 2015

2015 IEEE Radar Conference (RadarCon)

View full text Add to dashboard Cite

The rotation of rotor blades of a helicopter induces a Doppler modulation around the main Doppler shift. Such a non-stationary modulation, commonly called micro-Doppler signature, can be used to perform classification of the target. In this paper a model-based automatic helicopter classification algorithm is presented. A sparse signal model for radar return from a helicopter is developed and by means of the theory of sparse signal recovery, the characteristic parameters of the target are extracted and used for the classification. This approach does not require any learning process of a training set or adaptive processing of the received signal. Moreover, it is robust with respect to the initial position of the blades and the angle that the LOS forms with the perpendicular to the plane on which the blades lie. The proposed approach is tested on simulated and real data

show abstract

Microwave radar imaging of rotating blades

Cited by 18 publications

References 9 publications

ISAR imaging of rotating blades with an UWB radar

ISAR imaging of rotating blades with an UWB radar

2D and 3D-ISAR images of a small quadcopter

Model-based sparse recovery method for automatic classification of helicopters

Contact Info

Product

Resources

About