scholarly journals MIMO-Sparse Radars for Enhanced DOA Estimation of Spatio-Temporal Correlated Sources

2019 ◽  
Author(s):  
Navid Amani ◽  
Venkat Roy ◽  
Alessio Filippi ◽  
Rob Maaskant
Keyword(s):  
Doa Estimation ◽  
Correlated Sources ◽  
Spatio Temporal

USTC-MUSIC Algorithm for DOA Estimation of Coherent Sources Using Single Vector Hydrophone

2014 ◽  
Vol 530-531 ◽  
pp. 530-533
Author(s):  
Jin Fang Cheng ◽  
Chao Ran Zhang ◽  
Wei Zhang
Keyword(s):  
Correlation Matrix ◽  
Temporal Correlation ◽  
Doa Estimation ◽  
Spatial Smoothing ◽  
Music Algorithm ◽  
Correlation Matrices ◽  
Vector Hydrophone ◽  
Coherent Sources ◽  
Simulation Results ◽  
Spatio Temporal

The MUSIC algorithm cannot deal with the problem of DOA estimation of coherent sources, this paper proposes the USTC (unitary spatio-temporal correlation matrices)-MUSIC algorithm using single vector hydrophone to solve this problem, by utilizing the unitary spatio-temporal correlation matrix instead of the covariance matrix. The simulation results demonstrate that the USTC-MUSIC algorithm has a better ability to distinguish the coherent sources from different directions than the spatial smoothing MUSIC algorithm.

A New Method of Doppler Frequency and DOA Estimation Based on Gradient-Time-Delay

2014 ◽  
Vol 716-717 ◽  
pp. 1298-1302
Author(s):  
Hong Yan Sun ◽  
Chun Yang Wang ◽  
Yan Xin Yu ◽  
Yu Chen ◽  
Xue Mei Wang
Keyword(s):  
Time Delay ◽  
Least Squares Method ◽  
Doppler Frequency ◽  
Doa Estimation ◽  
Array Element ◽  
Data Matrix ◽  
Temporal Data ◽  
Arrival Angle ◽  
Twiddle Factor ◽  
Spatio Temporal

This paper proposes that arrays of spatio-temporal data matrix was constructed by the arrays of the received signal delayed in time gradient, Meanwhile, applying the method of ESPIRT to get the twiddle factor of the received signal array element and the array element of the time and the space, finally get the final information of Doppler frequency and the information of arrival angle though applying least squares method.

An Efficient DOA Estimation Algorithm for Spatial-Temporal Correlated Sources

2013 ◽  
Vol 716 ◽  
pp. 554-558
Author(s):  
Xiang Yang Huang ◽  
Ming Shun Ai ◽  
Peng Peng Yu
Keyword(s):  
Linear Array ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Mean Value ◽  
Algebraic Solution ◽  
The Novel ◽  
Correlated Sources ◽  
Nonzero Mean ◽  
Correlated Signals ◽  
Better Than

This paper presents a signal direction-of-arrival (DOA) estimation approach that possesses excellent performance in spatial and temporal correlated signals environments. Firstly, an algebraic solution of the null subspace is derived based on the Vandermonde structured steering vectors of uniform linear array when all the sources possess identical nonzero mean value, and then, the DOA estimation is obtained with a polynomial rooting method. The novel algorithm performs much better than the conventional algorithms in the situation that the sources are closely spaced or correlated, and simulations have verified the validity of the algorithm.

scholarly journals Single-Pixel Polarimetric Direction of Arrival Estimation Using Programmable Coding Metasurface Aperture

2021 ◽  
Author(s):  
The Viet Hoang ◽  
Vincent Fusco ◽  
Muhammad Ali Babar Abbasi ◽  
Okan Yurduseven
Keyword(s):  
Single Channel ◽  
Polarization State ◽  
Plane Waves ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Dynamically Reconfigurable ◽  
Retrieval Technique ◽  
Spatio Temporal ◽  
Incident Waves ◽  
Single Pixel

Abstract This paper presents a single-pixel polarimetric compressive sensing (CS)-based direction of arrival (DoA) estimation technique using a cavity backed programmable coding metasurface aperture. The single-pixel DoA retrieval technique relies on a dynamically modulated waveform diversity, enabling spatially incoherent radiation masks to encode the incoming plane waves on the radar aperture using a single channel. The polarimetric nature of the wave-chaotic coding metasurface ensures that DOA estimation considers the sensitivity of the structure to the polarization state of the incoming waves. We show that the polarimetric single-pixel DoA concept can be enabled by encoding the polarization information of the incoming waves at the physical layer level within the antenna. A dynamically reconfigurable wave-chaotic metasurface, that possesses a structured sparsity of dual-polarized coded metamaterial elements, is proposed for the proof of concept. It is also shown that by encoding and compressing the source generated far-field incident waves into a single channel using spatio-temporal incoherent measurement modes generated by the coded programmable metasurface, we can retrieve high fidelity polarimetric DoA information from compressed measurements.

Analog Transmission of Spatio-Temporal Correlated Sources Over MAC With Modulo Mappings

2018 ◽  
Vol 22 (5) ◽  
pp. 1074-1077 ◽  
Author(s):  
Pedro Suarez-Casal ◽  
Oscar Fresnedo ◽  
Luis Castedo
Keyword(s):  
Correlated Sources ◽  
Spatio Temporal ◽  
Analog Transmission
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