Ultra-wideband radar noise reduction for target classification

Hantscher, S.; Reisenzahn, A.; Diskus, C.G.

doi:10.1049/iet-rsn:20070097

Cited by 12 publications

(8 citation statements)

References 9 publications

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“…For instance, when a pure monocycle pulse is generated and then fed to the antenna, the pulse shape of the antenna output will become like a sinc function. Here we did not take the antenna effect into account because it could be mitigated by using calibration or deconvolution techniques, as seen in Hantscher et al [] and Sarkar et al []. The pure monocycle pulse was therefore deployed in our simulation.…”

Section: Simulation Setupmentioning

confidence: 99%

Simple estimation of late-time response for radar target identification

et al. 2017

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This paper proposes a conceptual technique for the simple estimation of the late‐time response for radar target identification without a priori knowledge of the target geometry or orientation. In the proposed technique, the cross correlation between the backscattering response and transmitted wave is performed. Peaks will occur in the cross‐correlation output when the transmitted wave is aligned with the same features in the received backscattering response. The commencement of the late‐time response corresponds with the peak resulting from a superimposed pattern between the transmitted wave and late‐time response. The matrix pencil method was exploited in order to extract the poles from the received backscattering response. Several simulations were performed to evaluate the performance of the proposed estimation technique. The simulation results confirmed the superiority of the proposed approach. In the special case of the transmission with a monocycle pulse, the commencement of the late‐time response can be automatically selected from the third peak of the resulting cross‐correlation output.

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Section: Simulation Setupmentioning

confidence: 99%

Simple estimation of late-time response for radar target identification

et al. 2017

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“…Methods using a real constant to control the contribution of the weighting function have been developed [9], [10], and methods in which the weighting function P N (ω)/P F (ω) is controlled by multiplying by a control parameter β, which is called pseudo inverse filtering, have also been developed [11], [12], [13]. In the present study, control parameter β was determined by evaluating the spatial resolution using the received echoes from a fine wire (13 μm in diameter), which corresponds to a point scatterer.…”

Section: Control Parameter Used For Weighting Functionmentioning

confidence: 99%

Improvement of axial spatial resolution of ultrasound image using Wiener filter for measurement of intima-media thickness of carotid artery

Hasegawa

Kageyama

Kanai

2013

2013 IEEE International Ultrasonics Symposium (IUS)

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Measurement of intima-media thickness (IMT) of the carotid artery by ultrasonography is widely used for diagnosis of atherosclerosis. For accurate measurement of IMT, in the present study, a method based on the Wiener filter was developed for improvement of image spatial resolution. There are many studies on improvement of spatial resolution for elimination of the point spread function (PSF) of a system using a deconvolution filter. PSF is determined by the transfer function H(f ) (including transfer function of ultrasonic probe and tissue attenuation property). In most of developed methods, PSF is separately measured using a target, such as a fine wire in water, prior to the actual in vivo measurement. However, it is difficult to predict the subject-dependent change in PSF owing to frequencydependent attenuation by tissue. Therefore, conventional deconvolution filters do not work effectively. In the present study, the magnitude |H(f )| was estimated by averaging power spectra of RF echoes in all scan lines obtained from the actual in vivo measurement to consider frequency-dependent attenuation. Although there are many dips in the respective power spectra due to interference of echoes from many scatterers, such dips can be suppressed by averaging power spectra because locations of dips are different line by line owing to randomness of scatterer distribution. On the other hand, the phase of H(f ) was estimated beforehand from the phase of frequency spectrum Y (f ) of the transmitted ultrasound signal received by a hydrophone placed in water because attenuation by tissue does not affect the phase of the transfer function. The phase of squared Y (f ) was used as the phase of H(f ) by considering a pulse-echo measurement. From the estimated H(f ), a deconvolution filter was designed using the Wiener filter. Improvement of axial resolution was evaluated by measuring an echo from a fine wire placed in water. Axial resolution defined by the width at half maximum was improved from 0.2 mm to 0.12 mm. Furthermore, the proposed method was applied to RF echoes obtained from a carotid artery. The axial resolution was significantly improved compared with conventional B-mode image.

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“…An alternative candidate has been proposed to mitigate the antenna effects by using the deconvolution technique [13,14]. In addition, antenna calibration was also employed to resolve the problems of antenna dispersion and multiple reflections in radar systems [15,16]. However, the antennas used in these literatures were designed for a particular purpose, especially radar systems and their bandwidths were ultra-wideband.…”

Section: Introductionmentioning

confidence: 99%

“…However, the antennas used in these literatures were designed for a particular purpose, especially radar systems and their bandwidths were ultra-wideband. For example, the horn antenna can operate in the frequency range of 800 MHz to 10 GHz [15]. Moreover, the effect of the use of different antenna types has not been evaluated, and nobody has seriously taken the pole resolution into account.…”

Section: Introductionmentioning

confidence: 99%

On the Resolution Improvement of Radar Target Identification with Filtering Antenna Effects

Bannawat

Boonpoonga

Burintramart³

et al. 2018

International Journal of Antennas and Propagation

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An investigation on the improvement of the resolution of a radar target identification system is presented in this paper. Degradation of resolution is mainly due to influence factors associated with antennas, including the strong coupling between transmitting and receiving antennas and the variation in the antenna response. A filtering technique was therefore introduced to mitigate the underlying problem. In the technique, the antenna effects were filtered out of the total response backscattered from the objects in the radar target identification system. The short-time matrix pencil method (STMPM) was then employed to extract the poles from the backscattered response in order to identify the object. Simulation and experimentation examples are illustrated to confirm the improvement of the resolution by filtering the antenna effects. The simulation and experimentation were divided into several categories, that is, different antennas and differently shaped objects, in order to validate the advantage of filtering the antenna effects. They were setup in order to demonstrate that the poles obtained from performing the STMPM without the filtering technique were mainly because of the antenna rather than the object’s characteristic. The results showed that the resolution of the identification was significantly increased when performing pole extraction and filtering the antenna effects.

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Ultra-wideband radar noise reduction for target classification

Cited by 12 publications

References 9 publications

Simple estimation of late-time response for radar target identification

Simple estimation of late-time response for radar target identification

Improvement of axial spatial resolution of ultrasound image using Wiener filter for measurement of intima-media thickness of carotid artery

On the Resolution Improvement of Radar Target Identification with Filtering Antenna Effects

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