scholarly journals Matrix Pencil Method and Singular Value Decomposition Application for DOA Estimation Using Linear Antenna Array with Multiple Signal Sources

2021 ◽  
Vol 5 (2) ◽  
pp. 107-114
Author(s):  
Nilay AYTAŞ ◽  
Erkan AFACAN ◽  
Nihat İNANÇ
Keyword(s):  
Singular Value Decomposition ◽  
Antenna Array ◽  
Matrix Pencil ◽  
Doa Estimation ◽  
Singular Value ◽  
Linear Antenna ◽  
Linear Antenna Array ◽  
Matrix Pencil Method ◽  
Value Decomposition ◽  
Signal Sources

scholarly journals Robust Direction of Arrival Estimation Using Uniform Circular Antenna Array based on Total Forward - Backward Matrix Pencil Method

2015 ◽  
pp. 17
Author(s):  
Han Trong Thanh ◽  
Do Trong Tuan ◽  
Nguyen Trong Duc ◽  
Vu Van Yem
Keyword(s):  
Matrix Pencil ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Observation Angle ◽  
Direction Of Arrival Estimation ◽  
Linear Antenna ◽  
Matrix Pencil Method ◽  
Signal Simulation ◽  
Simulation Results ◽  
Circular Antenna Array

In  this  paper,  we  propose  an  approach  to estimate  the  Direction  of  Arrival  (DOA)  of  Radio coherent  incoming  signals  using  the  Total  Forward  – Backward  Matrix  Pencil  algorithm  (TFBMP).  This algorithm  works  directly  on  samples  of  signals impinging  on  an  M  –  element  Uniform  Circular Antenna (UCA) array, which has a smaller size as well as  larger  observation  angle  in  comparison  with  the Uniform  Linear  Antenna  (ULA)  array.  Therefore,  the correlation  between  the  received  signals  does  not significantly  impact  on  its performance  and  efficiency. Furthermore,  this algorithm  can  also  extract  the  DOA information  with  only  one  snapshot  of  signal. Simulation  results  for  DOA  estimation  using  the proposed approach for different situations of  incoming signals  as  well  as  the  number  of  snapshots  in  the presence  of  noise  will  be  assessed  to  verify  its performance.

New DOA Estimation Method for Wideband Coherent Signals in the Presence of Correlated Noise

2012 ◽  
Vol 263-266 ◽  
pp. 157-161 ◽  
Author(s):  
Jin Zhang ◽  
Yun Xiang Mao ◽  
Jian Yun Zhang
Keyword(s):  
Numerical Simulation ◽  
Antenna Array ◽  
Covariance Matrix ◽  
Estimation Method ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Correlated Noise ◽  
Linear Antenna ◽  
Coherent Signals ◽  
Linear Antenna Array

With a uniform linear antenna array, a new direction-of-arrival (DOA) estimation method is proposed for wideband coherent signals in the presence of unknown correlated noise but with structured covariance matrix. Based on this proposed structure, i.e. Hermitian Toeplitz, a spatial differencing operation that exploits this symmetry is applied to remove the effect of the unknown noise and a new matrix is constructed accordingly at each frequency bin. Following this step, a focusing operation is performed to give the corresponding aligned covariance matrix. Finally, an eigenstructure-based DOA estimation method is applied. The validity of the method is supported by numerical simulation under various conditions.

scholarly journals DOA Estimation Method for CHAOS Radar System

2019 ◽  
Vol 17 (12.2) ◽  
pp. 35
Author(s):  
Hán Trọng Thanh ◽  
Nguyen Thanh Chuyen ◽  
Nguyen Xuan Quyen
Keyword(s):  
Antenna Array ◽  
Estimation Method ◽  
Matrix Pencil ◽  
Doa Estimation ◽  
Sampling Frequency ◽  
Radar System ◽  
Linear Antenna ◽  
Coherent Signals ◽  
Security Systems ◽  
Simulation Results

CHAOS signal has been drawing a lot of research interest recently due to its performance in security systems. In this paper, an approach to estimate the direction of target for Distributed Chaos Radar System using Total Forward - Backward Matrix Pencil (TFBMP) algorithm. This algorithm works directly on signal samples of signals received by M – element Uniform Linear Antenna array. Therefore, the correlation between the received signals does not significantly impact on its performance and efficiency. This fact permits us to estimate not only wideband incoherent signals but also wideband coherent signals. Furthermore, this algorithm can also extract the Direction Of Arrival (DOA) with only one snapshot of signal, which means that the sampling frequency in real time receivers can be considerably reduced. The simulation results for DOA of incoming CHAOS signals using the proposed approach will be shown and analyzed to verify its performance.

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