Localizing living body using bistatic MIMO radar in multi-path environment

Sasakawa, Dai; Konno, Kouichi; Honma, Naoki; Nishimori, Kentaro; Takemura, Noriko; Matsumoto, Tsutomu; Tsunekawa, Yoshitaka

doi:10.1109/eucap.2014.6902522

Cited by 10 publications

(10 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Accidental falls and lonely death have become social problems and calls for a safety-assurance system for the elderly are growing. Multiple-Input Multiple-Output (MIMO) radar has been mentioned as a target location estimation technology in a multi-path environment [1]. However, this method cannot estimate locations of multiple targets because multiple targets cause false solutions.…”

Section: Introductionmentioning

confidence: 99%

Localizing multiple target using bistatic MIMO radar in multi-path environment

Konno

Honma

Sasakawa

et al. 2014

2014 IEEE International Workshop on Electromagnetics (iWEM)

Self Cite

View full text Add to dashboard Cite

This paper presents a localization method of multiple living-bodies suitable for multi-path environments. The time-variant Multiple-Input Multiple-Output (MIMO) channel is measured and the bistatic MIMO radar estimates multiple target locations from Fourier-transformed channel information.Measurements are carried out in an indoor environment, and it is shown the proposed method can estimate multiple target locations with fairly good accuracy.

show abstract

Section: Introductionmentioning

confidence: 99%

Localizing multiple target using bistatic MIMO radar in multi-path environment

Konno

Honma

Sasakawa

et al. 2014

2014 IEEE International Workshop on Electromagnetics (iWEM)

Self Cite

View full text Add to dashboard Cite

show abstract

“…To solve this problem, human localization methods suitable for multi-path environments have been proposed. There are three approaches to human localization: time difference of arrival (TDOA) estimation [9,10], object localization [11] based on the multiple signal classification (MUSIC) method [12], and the trigonometry methods based on DOA/DOD estimation using the MUSIC method [13][14][15]. Though the TDOA methods can quickly localize targets even in multi-path environments by using frequency-modulated continuous-wave (FMCW) radar, this method is expensive as it requires a wide bandwidth of 1.79 GHz (from 5.46 to 7.25 GHz).…”

Section: Introductionmentioning

confidence: 99%

“…Localization based on MUSIC [11] uses a low-frequency band, 250 MHz, and estimates the target location by using spherical-mode MUSIC to process the oscillating return signal. However, the array aperture is comparable to the estimated distance because of the low frequency, and this method requires observation periods of over 10 s. Trigonometry-based localization [13][14][15] uses MIMO radar with DOA estimation by the fast Fourier transform (FFT) technique [16]. However, this method needs to observe the channel for several tens of seconds to accurately capture human activity information.…”

Section: Introductionmentioning

confidence: 99%

Human Posture Identification Using a MIMO Array

et al. 2018

Self Cite

View full text Add to dashboard Cite

Abstract:The elderly are constantly in danger of falling and injuring themselves without anyone realizing it. A safety-monitoring system based on microwaves can ease these concerns. The authors have proposed safety-monitoring systems that use multiple-input multiple-output (MIMO) radar to localize persons by capturing their biological activities such as respiration. However, our studies to date have focused on localization, which is easier to achieve than an estimation of human postures. This paper proposes a human posture identification scheme based on height and a Doppler radar cross section (RCS) as estimated by a MIMO array. This scheme allows smart home applications to dispense with contact and wearable devices. Experiments demonstrate that this method can identify the supine position (i.e., after a fall) with 100% accuracy, and the average identification rate is 95.0%.

show abstract

“…The authors also proposed a method of living-body localization using bistatic MIMO radar as an extension of the work [13], [14]. The MIMO configuration can estimate Copyright c 2015 The Institute of Electronics, Information and Communication Engineers both Direction of Departure (DOD) and Direction of Arrival (DOA) at the same time.…”

Section: Introductionmentioning

confidence: 99%

“…The bistatic MIMO radar suitable for multiple living-bodies has been introduced by authors [15], and some fundamental results have been shown. Nevertheless, the estimation performance was not sufficiently evaluated in [13]- [15].…”

Section: Introductionmentioning

confidence: 99%

Estimating Living-Body Location Using Bistatic MIMO Radar in Multi-Path Environment

Konno

Honma

Sasakawa

et al. 2015

IEICE Trans. Commun.

Self Cite

View full text Add to dashboard Cite

This paper proposes a method that uses bistatic Multiple-Input Multiple-Output (MIMO) radar to locate living-bodies. In this method, directions of living-bodies are estimated by the MUltiple SIgnal Classification (MUSIC) method at the transmitter and receiver, where the Fourier transformed virtual Single-Input Multiple-Output (SIMO) channel matrix is used. Body location is taken as the intersection of the two directions. The proposal uses a single frequency and so has a great advantage over conventional methods that need a wide frequency band. Also, this method can be used in multipath-rich environments such as indoors. An experiment is performed in an indoor environment, and the MIMO channels yielded by various subject numbers and positions are measured. The result indicates that the proposed method can estimate multiple living-body locations with high accuracy, even in multipath environments.

show abstract

Localizing living body using bistatic MIMO radar in multi-path environment

Cited by 10 publications

References 5 publications

Localizing multiple target using bistatic MIMO radar in multi-path environment

Localizing multiple target using bistatic MIMO radar in multi-path environment

Human Posture Identification Using a MIMO Array

Estimating Living-Body Location Using Bistatic MIMO Radar in Multi-Path Environment

Contact Info

Product

Resources

About