Feature based indoor mapping using a bat-type UWB radar

Deißler, Tobias; Thielecke, Jörn

doi:10.1109/icuwb.2009.5288802

Cited by 22 publications

(10 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…VT,i (t k−1 ) and calculates the weight w (j,a) i (t k ) using (26). Thereafter, the weight w (j) (t k ) is calculated using (25) (cf.…”

Section: Rbpf Implementationmentioning

confidence: 99%

“…Furthermore, the authors of [25] estimate and track the phase information of multipath components (MPCs) using an extended Kalman filter (EKF) and estimate the user position using a time difference of arrival (TDOA) positioning approach. Additional to positioning applications, multipath propagation can be used to estimate the surrounding area, e.g., [26] uses a non-static UWB radar to estimate the roomgeometry. This approach was extended in [27], where the UWB radar transceiver position is estimated in addition by using a simultaneous localization and mapping (SLAM) approach [28]- [30].…”

Section: Introductionmentioning

confidence: 99%

“…Instead of mapping the environment, Channel-SLAM maps the VT positions and interprets them as landmarks. Furthermore, compared to [19]- [24], [26], [27], [31], Channel-SLAM considers also paths occurring due to multiple number of reflections or scattering as well as the combination of both effects. We demonstrate that each MPC can be treated as being emitted from a VT with unknown but fixed position.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multipath Assisted Positioning with Simultaneous Localization and Mapping

Gentner

Jost

Wang

et al. 2016

IEEE Trans. Wireless Commun.

221

202

View full text Add to dashboard Cite

This paper describes an algorithm that exploits multipath propagation for position estimation of mobile receivers. We apply a novel algorithm based on recursive Bayesian filtering, named Channel-SLAM. This approach treats multipath components as signals emitted from virtual transmitters which are time synchronized to the physical transmitter and static in their positions. Contrarily to other approaches, Channel-SLAM considers also paths occurring due to multiple numbers of reflections or scattering as well as the combination. Hence, each received multipath component increases the number of transmitters resulting in a more accurate position estimate or enabling positioning when the number of physical transmitters is insufficient. Channel-SLAM estimates the receiver position and the positions of the virtual transmitters simultaneously, hence, the approach does not require any prior information such as a room-layout or a database for fingerprinting. The only prior knowledge needed is the physical transmitter position as well as the initial receiver position and moving direction. Based on simulations, the position precision of Channel-SLAM is evaluated by a comparison to simplified algorithms and to the posterior Cramér-Rao lower bound. Furthermore, the paper shows the performance of Channel-SLAM based on measurements in an indoor scenario with only a single physical transmitter.

show abstract

“…VT,i (t k−1 ) and calculates the weight w (j,a) i (t k ) using (26). Thereafter, the weight w (j) (t k ) is calculated using (25) (cf.…”

Section: Rbpf Implementationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multipath Assisted Positioning with Simultaneous Localization and Mapping

Gentner

Jost

Wang

et al. 2016

IEEE Trans. Wireless Commun.

221

202

View full text Add to dashboard Cite

show abstract

“…To the best of the authors' knowledge, joint UWB imaging and localization has so far not been considered in literature. In [14], simultaneous mapping and localization with an UWB antenna array is presented. This approach relies on extracted features like walls, edges and corners and is not used to facilitate high definition positioning.…”

Section: Introductionmentioning

confidence: 99%

UWB radar imaging based multipath delay prediction for NLOS position estimation

Luecken

Wittneben

2011

2011 IEEE International Conference on Ultra-Wideband (ICUWB)

View full text Add to dashboard Cite

Conventional Time-of-Arrival (ToA) based UltraWideband (UWB) positioning suffers strongly from multipath. Harsh propagation environments or non-line-of-sight (NLOS) situations lead to biased position estimates with high estimation errors. To overcome this problem, we propose a radar imaging based method to predict delays of dominant propagation paths. This is done in a three-step approach: First, a radar image of the environment is created using measured training data. We generate a scattering coefficient map with the large synthetic aperture of distributed and moving antennas. The training data can easily be obtained from channel estimates of a UWB communication system with mobile nodes. Second, the radar image is used to reconstruct path gains and path delays. Thus, the channel response is predicted for arbitrary transmitter and receiver positions. Finally, dominant multipath delays are extracted using WRELAX. The proposed algorithm is validated by anechoic chamber measurements with controlled reflectors. Moreover, an extensive measurement campaign in a laboratory/office environment shows that strong paths can be predicted with nanosecond accuracy in a real world scenario.

show abstract

“…Further on, several studies reported in the recent literature attempted to address this problem with radio signals based on Ultra-Wide-Band (UWB) techniques. Some adopt a battype UWB radar approach [5], other require a highly specific hardware configuration, for example central transmitter with receive antennas array [6] or monostatic CIR measurements (i.e. self-to-self channel sounding) [7].…”

Section: Introductionmentioning

confidence: 99%

Rectangular room dimensions estimation using narrowband signal and sectorized antennas

Arambasic

Quirós

Raos

2012

2012 5th International Symposium on Communications, Control and Signal Processing

View full text Add to dashboard Cite

A system for estimation of unknown rectangular room dimensions based on two radio transceivers, both capable of full duplex operations, is presented. The approach is based on CIR measurements taken at the same place where the signal is transmitted (generated), commonly known as selfto-self CIR. Another novelty is the receiver antenna design which consists of eight sectorized antennas with 45° aperture in the horizontal plane, whose total coverage corresponds to the isotropic one. The dimensions of a rectangular room are reconstructed directly from radio impulse responses by extracting the information regarding features like round trip time, received signal strength and reverberation time. Using radar approach the estimation of walls and corners positions are derived. Additionally, the analysis of the absorption coefficient of the test environment is conducted and a typical coefficient for office room with furniture is proposed. Its accuracy is confirmed through the results of volume estimation. Tests using measured data were performed, and the simulation results confirm the feasibility of the approach.

show abstract

Feature based indoor mapping using a bat-type UWB radar

Cited by 22 publications

References 10 publications

Multipath Assisted Positioning with Simultaneous Localization and Mapping

Multipath Assisted Positioning with Simultaneous Localization and Mapping

UWB radar imaging based multipath delay prediction for NLOS position estimation

Rectangular room dimensions estimation using narrowband signal and sectorized antennas

Contact Info

Product

Resources

About