An Innovative Radar Imaging System Based on the Capability of an Uwb Array to Steer Successively in Different Directions

Abstract-A novel method allowing the ultrafast scanning of an area thanks to an Ultra Wide Band (UWB) antenna array is proposed in this paper. This method is based on the use of asynchronous optical pulses trains with different repetition rates obtained in amplified regenerative cavities. By means of optoelectronic switching, providing short powerful electrical pulses trains to an UWB antenna array, it is possible to spatially scan a large area in less than 1 ms. The paper presents the principle of the transient beam steering and its potentialities to realize an ultrafast detection system.

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“…Receiving system and detection algorithms have recently been developed to achieve imaging radar including this scanning system [18].…”

Section: Methodsmentioning

confidence: 99%

Ultrafast Autonomous Detection and Scanning System Based on Optoelectronic Pulse Switching

Desrumaux¹,

Couderc²,

Lalande³

et al. 2012

PIER Letters

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“…With its wide bandwidth and high spatial resolution, UWB radar can penetrate non-metallic objects, such as bricks, wood, dry walls, concrete and reinforced concrete. This allows for the detection and localization of survivors buried under building debris after an earthquake, landslide, or fire [1][2][3][4][5][6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Using Wavelet Entropy to Distinguish Between Humans and Dogs Detected by Uwb Radar

Wang¹,

Yu²,

Zhang³

et al. 2013

PIER

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Abstract-When using ultra-wide band (UWB) radar to detect targets in various conditions, identifying whether the target buried under building debris or in bad visibility conditions is a human or an animal is crucial. This paper presents the application of the wavelet entropy (WE) method to distinguish between humans and animal targets through brick wall and in free space at a certain distance. In the study, WE, WE change, and WE of the related range points were estimated for the echo signals from five humans and five dogs. Our findings indicate that the entropy or degree of disorder in the energy distribution of the human target was much lower than that of the dog, and the waveform of the human's entropy was smoother than that of the dog. In addition, the body micro motions of humans are much more ordered than those of dogs. WE can be employed as a quantitative measure for recognizing invisible targets and may be a useful tool in the UWB radar's practical applications.

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“…There are many radar signatures which can be used for radar target recognition: Natural frequencies of radar target [159][160][161][162][163][164][165][166], high resolution range (HRR) profiles [72,[75][76][77][78][79][80] of radar target, microwave image of the radar target [1,26,31,50,55,70,73,[81][82][83][84][85][86][87][88][89][90][91][92][93][94][95][96][97][98][99][100], and inverse synthetic aperture radar (ISAR) [55, 86-100, 125, 126] image proved to be useful features for target recognition. Jet engine modulation and helicopter modulation [127,128] have also been known as useful features for target recognition.…”

Section: Introductionmentioning

confidence: 99%

Effect of Threshold Value on the Performance of Natural Frequency-Based Radar Target Recognition

Cho¹,

Lee²

2013

PIER

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Abstract-In this paper, the performance analysis of the natural frequency-based radar target recognition in the time domain is considered. We investigate the dependence of the probability of correct classification on a specific threshold value, and determine the optimum threshold value for two targets, and the sub-optimal threshold for multiple targets to maximize the probability of correct classification. Based on the probability density function (PDF) of some quantity consisting of the projections of the late time response onto the column spaces of the matrices constructed using the natural frequencies of the specific targets, we propose how to determine an optimum threshold in the sense that the probability of correct classification of two targets is maximized. By extending the scheme for two targets, we show how to determine a threshold value close to the optimal threshold for multiple targets. The scheme is validated by comparing the performance using the analytic method with that using the Monte-Carlo simulation.

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An Innovative Radar Imaging System Based on the Capability of an Uwb Array to Steer Successively in Different Directions

Cited by 3 publications

References 10 publications

Ultrafast Autonomous Detection and Scanning System Based on Optoelectronic Pulse Switching

Ultrafast Autonomous Detection and Scanning System Based on Optoelectronic Pulse Switching

Using Wavelet Entropy to Distinguish Between Humans and Dogs Detected by Uwb Radar

Effect of Threshold Value on the Performance of Natural Frequency-Based Radar Target Recognition

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