Localizations of multiple targets using multistatic UWB radar systems

Park, Jae Sung; Baek, In Seok; Cho, Sung Ho

doi:10.1109/icnidc.2012.6418822

Cited by 11 publications

(5 citation statements)

References 5 publications

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“…This is particularly useful in the case of poor localization accuracy provided by the bistatic ellipses intersection due to unfavorable geometric configurations. (In the case of multiple targets, a data association among the different bistatic links is in order [21], [28]. This task is beyond the scope of this work and hereinafter we will assume it successfully achieved).…”

Section: Gnss-based Multistatic Radar Systemmentioning

confidence: 99%

Maritime Targets Velocity Estimation in Space-Based Passive Multistatic Radar Using Long Integration Times

Nasso¹,

Santi

Pastina

2021

IEEE Access

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Target detection by means of space-based passive radar sensors generally requires the adoption of long integration time strategies to reinforce sufficiently the signal strength. These are usually based on the recovery of the target Doppler-rate to cope with the range and Doppler migration experienced over the long dwell considered. In this work, we put forward a Taylor-series approach that capitalizes on the set of bistatic Doppler-rates estimated in Global Navigation Satellite Systems (GNSS)-based multistatic radar configurations to estimate the velocity of ship targets with increased accuracy with respect to conventional Doppler-based procedures. Both the cases of single-element and array receiver configurations have been considered. Theoretical and numerical results under different use cases show as leveraging on the long integration times adopted at the detection stage could significantly increase the accuracy of the estimated ship velocity components. Few experimental results are also provided, verifying the potentialities of the proposed approach in operative scenarios of practical interest for this technology. The proposed approach is not limited at the GNSS case, but it could be potentially applied to any multistatic passive radar system.

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Section: Gnss-based Multistatic Radar Systemmentioning

confidence: 99%

Maritime Targets Velocity Estimation in Space-Based Passive Multistatic Radar Using Long Integration Times

Nasso¹,

Santi

Pastina

2021

IEEE Access

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“…To solve this problem, there have been many attempts to estimate the location of multiple targets using distance values. In [31], all possible locations are discovered by the combination of distance values using the least squares method, regardless of which target the detected distance value denotes. For all these estimated possible locations, a specific method named as association is used to estimate the positions of the actual targets using the difference between the distance to each radar and detected distance value.…”

Section: Positioning Algorithmmentioning

confidence: 99%

A Multiple Target Positioning and Tracking System Behind Brick-Concrete Walls Using Multiple Monostatic IR-UWB Radars

Yoo

Wang

Seol³

et al. 2019

Sensors

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Recognizing and tracking the targets located behind walls through impulse radio ultra-wideband (IR-UWB) radar provides a significant advantage, as the characteristics of the IR-UWB radar signal enable it to penetrate obstacles. In this study, we design a through-wall radar system to estimate and track multiple targets behind a wall. The radar signal received through the wall experiences distortion, such as attenuation and delay, and the characteristics of the wall are estimated to compensate the distance error. In addition, unlike general cases, it is difficult to maintain a high detection rate and low false alarm rate in this through-wall radar application due to the attenuation and distortion caused by the wall. In particular, the generally used delay-and-sum algorithm is significantly affected by the motion of targets and distortion caused by the wall, rendering it difficult to obtain a good performance. Thus, we propose a novel method, which calculates the likelihood that a target exists in a certain location through a detection process. Unlike the delay-and-sum algorithm, this method does not use the radar signal directly. Simulations and experiments are conducted in different cases to show the validity of our through-wall radar system. The results obtained by using the proposed algorithm as well as delay-and-sum and trilateration are compared in terms of the detection rate, false alarm rate, and positioning error.

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“…A Salsa Cayenne UWB radar was employed as a sensor to characterize metal defects based on the return echo by means of the principal component analysis (PCA) in [8]. Tracking multiple targets with multistatic UWB radars using triangulation was presented in [9], with a frequency range of 7 GHz, in an area of 100 m 2 . The push towards UWB in vehicles was reported back in 2007 [10], where a 90-nm complementary metal-oxide-semiconductor (CMOS) technology was used as basis for a 22-29 GHz UWB chip, conceived for the specific use in short-range anticollision vehicular radars.…”

Section: Introductionmentioning

confidence: 99%

UWB Radar Applied to Lane Occupation and Vehicle Classification

Perotoni¹,

Bordin²,

Castilho³

et al. 2023

JCIS

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This article describes the use of a commercial UWB radar for vehicle classification and lane occupation detection using real-world data acquired in an urban environment. We compare two radar image processing schemes: one based on deep learning using raw data produced by the radar, and a second method employing traditional machine learning algorithms using features extracted from raw data. We verify experimentally that both schemes lead to reasonably accurate estimates without the need of large training sets.

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Localizations of multiple targets using multistatic UWB radar systems

Cited by 11 publications

References 5 publications

Maritime Targets Velocity Estimation in Space-Based Passive Multistatic Radar Using Long Integration Times

Maritime Targets Velocity Estimation in Space-Based Passive Multistatic Radar Using Long Integration Times

A Multiple Target Positioning and Tracking System Behind Brick-Concrete Walls Using Multiple Monostatic IR-UWB Radars

UWB Radar Applied to Lane Occupation and Vehicle Classification

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