High Resolution 3-D Angle of Arrival Determination for Indoor UWB Multipath Propagation

2008 ◽  
Vol 7 (8) ◽  
pp. 3047-3055 ◽  
Author(s):  
Yongwei Zhang ◽  
A.K. Brown ◽  
W.Q. Malik ◽  
D.J. Edwards
Keyword(s):  
High Resolution ◽  
Multipath Propagation ◽  
Angle Of Arrival

scholarly journals Analysis of multipath and DOA detection using a fully polarimetric automotive radar

2018 ◽  
Vol 10 (5-6) ◽  
pp. 570-577 ◽  
Author(s):  
Tristan Visentin ◽  
Jürgen Hasch ◽  
Thomas Zwick
Keyword(s):  
Multipath Propagation ◽  
Radial Distance ◽  
Doa Estimation ◽  
Complex Environments ◽  
Angle Of Arrival ◽  
Automotive Radar ◽  
New Approach ◽  
Measurement Results ◽  
Radar Measurements ◽  
77 Ghz

AbstractMultipath propagation occurs in many situations of radar measurements in complex environments. The unwanted effects range from interference over the radar channels, which causes amplitude fading and a corrupted direction of arrival (DOA) estimation, to the detection of ghost targets in an angle of arrival of the multipath direction. Due to the different number of reflections, polarimetric radars are capable to separate certain multipaths from direct paths if the target is known in advance. Furthermore, it is possible to separate objects with different polarimetric features in DOA that are located in the same radial distance to the radar. In this paper, a new approach to DOA detection based on the coherent Pauli decomposition is presented. With this approach, important multipath and DOA effects are analyzed and measurement results at 77 GHz on canonical objects in an anechoic chamber are presented. The results prove the feasibility of the approach and demonstrate the occurring effects.

High-Resolution Techniques for Angle-of-Arrival Estimation

1986 ◽  
Author(s):  
Vytas Kezys ◽  
Ed Vertatschitsch ◽  
Terry Greenlay ◽  
Simon Haykin
Keyword(s):  
High Resolution ◽  
Angle Of Arrival

High Resolution GNSS Delay Estimation for Vehicular Navigation Utilizing a Doppler Combining Technique

2014 ◽  
Vol 67 (4) ◽  
pp. 579-602 ◽  
Author(s):  
Negin Sokhandan ◽  
Ali Broumandan ◽  
James T. Curran ◽  
Gérard Lachapelle
Keyword(s):  
High Resolution ◽  
High Precision ◽  
Performance Metrics ◽  
Multipath Propagation ◽  
Integrated System ◽  
Estimation Accuracy ◽  
Doppler Spectrum ◽  
Reference Trajectory ◽  
Autocorrelation Matrix ◽  
Gnss Receivers

Multipath propagation can cause significant impairments to the performance of Global Navigation Satellite System (GNSS) receivers and is often the dominant source of accuracy degradation for high precision GNSS applications. Commonly used time-of-arrival estimation techniques cannot provide the required estimation accuracy in severely dense multipath environments such as urban canyons. Multipath components are highly correlated and this results in a rank deficiency of the signal autocorrelation matrix. In this paper the Doppler spectrum broadening of the fast fading channel resulting from the motion of the receiver or surrounding objects is employed to decorrelate signal reflections for the purpose of high-resolution estimation of multipath delays through the subspace-based Multiple Signal Classification (MUSIC) technique. Specifically, delay-domain correlator outputs at different Doppler frequencies are combined to enhance the rank of the signal autocorrelation matrix. Simulation and results of real data collected in an urban environment (downtown Calgary) are presented to compare the performance of the proposed method with the spatial-temporal-diversity-based MUSIC technique and a widely available algorithm in commercial GNSS receivers, namely the double-delta correlator technique. The performance metrics are based upon pseudorange and positioning errors, which are derived using an accurate reference trajectory established using a high precision GNSS-INS integrated system.

scholarly journals Positioning Using Terrestrial Multipath Signals and Inertial Sensors

2017 ◽  
Vol 2017 ◽  
pp. 1-18 ◽  
Author(s):  
Christian Gentner ◽  
Robert Pöhlmann ◽  
Markus Ulmschneider ◽  
Thomas Jost ◽  
Siwei Zhang
Keyword(s):  
Particle Filtering ◽  
Inertial Measurement Unit ◽  
Inertial Sensors ◽  
Multipath Propagation ◽  
Position Estimation ◽  
Measurement Unit ◽  
Angle Of Arrival ◽  
Inertial Measurement ◽  
Multipath Signals ◽  
Mobile Receiver

This paper extends an algorithm that exploits multipath propagation for position estimation of mobile receivers named Channel-SLAM. Channel-SLAM treats multipath components (MPCs) as signals from virtual transmitters (VTs) and estimates the positions of the VTs simultaneously with the mobile receiver positions. For Channel-SLAM it is essential to obtain angle of arrival (AoA) measurements for each MPC in order to estimate the VT positions. In this paper, we propose a novel Channel-SLAM implementation based on particle filtering which fuses heading information of an inertial measurement unit (IMU) to omit AoA measurements and to improve the position accuracy. Interpreting all MPCs as signals originated from VTs, Channel-SLAM enables positioning also in non-line-of-sight situations. Furthermore, we propose a method to dynamically adapt the number of particles which significantly reduces the computational complexity. A posterior Cramér-Rao lower bound for Channel-SLAM is derived which incorporates the heading information of the inertial measurement unit (IMU). We evaluate the proposed algorithm based on measurements with a single fixed transmitter and a moving pedestrian carrying the receiver and the IMU. The evaluations show that accurate position estimation is possible without the knowledge of the physical transmitter position by exploiting MPCs and the heading information of an IMU.

High-Resolution Angle-of-Arrival Measurements on Physically-Nonstationary Mobile Radio Channels

2008 ◽  
Vol 56 (8) ◽  
pp. 2720-2729 ◽  
Author(s):  
Maurice R. J. A. E. Kwakkernaat ◽  
Yvo L. C. de Jong ◽  
Robert J. C. Bultitude ◽  
Matti H. A. J. Herben
Keyword(s):  
High Resolution ◽  
Mobile Radio ◽  
Angle Of Arrival ◽  
Radio Channels
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