Bistatic RCS Prediction for Complex Targets Using Modified Current Marching Technique

Li, Xiaofeng; Xie, Yongjun; Yang, Rui

doi:10.2528/pier09030804

Cited by 17 publications

(10 citation statements)

References 12 publications

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“…The earliest radars were of this type [3]. In recent times, bistatic radars have again attracted interest because they can be used to detect stealth or low RCS targets [4][5][6][7][8]. Bistatic radar may have a counter-stealth capability, since target shaping to reduce target mono-static RCS will in general not reduce the bistatic RCS [5,9].…”

Section: Introductionmentioning

confidence: 99%

Optimum Bistatic Angle Extraction Using Compressed Time-Frequency Feature Vectors

Lee¹,

Lee²,

Choi³

et al. 2014

IJCA

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When the target of interest is determined, the transmitter and receiver positions of bistatic radar are of great importance at the aspect of radar target classification. The radar cross section (RCS) of a target varies with these positions, and the target classification performance is considerably influenced by RCS. In this study, the target classification performance using the bistatic scattering data of wire targets and scale-model targets is analyzed and compared. Time-frequency analysis and effective compression techniques are used for target feature extraction from the bistatic scattering data of each target, and a multilayered perceptron (MLP) neural network is used as a classifier. The optimum receiver position is found by comparing the calculated classification probabilities while changing the

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Section: Introductionmentioning

confidence: 99%

Optimum Bistatic Angle Extraction Using Compressed Time-Frequency Feature Vectors

Lee¹,

Lee²,

Choi³

et al. 2014

IJCA

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“…Bistatic geometry is characterized by separated transmitter and receiver. And bistatic imaging system can exploit non-backscattering information included in the bistatic reflectivity of targets, which is helpful to classify and identify different kinds of targets [7,8].…”

Section: Introductionmentioning

confidence: 99%

3d Bistatic Omega-K Imaging Algorithm for Near Range Microwave Imaging Systems With Bistatic Planar Scanning Geometry

Qi¹,

Tan²,

Wang³

et al. 2011

PIER

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Abstract-By introducing bistatic geometry to near range microwave imaging systems, this paper proposes a near range three dimensional (3D) bistatic imaging geometry based on planar scanning aperture and establishes corresponding echo model. Then, the paper deduces the 3D bistatic Omega-K imaging algorithm based on implicit spectral decomposition, in which the impacts of residual phase, including position displacement, range, azimuth and elevation defocusing, are analyzed and compensated. Finally, the 3D bistatic imaging geometry and algorithm are investigated and verified via numerical simulations and experiments using a near range imaging system.

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“…In addition, system resolution analysis confirms that the proposed system can distinguish multiple objects in close proximity to each other. A bistatic version of the proposed system is also under investigation, in this way, the RCS prediction method as in [12], and the transfer algorithm proposed in [13] may be used.…”

Section: Introductionmentioning

confidence: 99%

A Circular Synthetic Aperture Radar for on-the-Ground Object Detection

Mohammadpoor¹,

Abdullah²,

Ismail³

et al. 2012

PIER

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Abstract-Detecting an on-the-ground object is a subject of interest for use in some applications. Foreign Object Detection (FOD), which is an important issue in aviation safety, is a possible application. In this way, radar imaging, has several inherent advantages over other on-the-ground object detection techniques. This paper will introduce a ground-based Circular Synthetic Aperture Radar, which detects and localizes various objects, based on their reflection properties of microwaves. Here, wideband Linear Frequency Modulated (LFM) chirp pulses are employed for the transmission and reception of reflection pulses, both to and from the object under test. Once the pulses are received by the radar, a processing algorithm (proposed later in this paper) is executed to confirm detection. In order to verify the validity of the model, a prototype was developed and a series of field experiments was carried out. The results show that the proposed system has the ability to detect and localize on-the-ground objects with dimensions as small as 2 cm high and 1 cm diameter, located several metres away. Furthermore, the resolution of the system was analysed and results indicate that the system is capable of distinguishing multiple objects in close proximity to each other, which therefore, makes it suitable for FOD applications by some small modifications.

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Bistatic RCS Prediction for Complex Targets Using Modified Current Marching Technique

Cited by 17 publications

References 12 publications

Optimum Bistatic Angle Extraction Using Compressed Time-Frequency Feature Vectors

Optimum Bistatic Angle Extraction Using Compressed Time-Frequency Feature Vectors

3d Bistatic Omega-K Imaging Algorithm for Near Range Microwave Imaging Systems With Bistatic Planar Scanning Geometry

A Circular Synthetic Aperture Radar for on-the-Ground Object Detection

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