Unitary Transformed DOA Estimation Algorithm Based on Modified Propagator Method

2013 ◽  
Vol 303-306 ◽  
pp. 2033-2037
Author(s):  
Guang Ya Huang ◽  
Xiao Fei Deng ◽  
Fan Bin Meng ◽  
Ping Yuan Liang
Keyword(s):  
Antenna Array ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Propagator Method ◽  
Unitary Transform ◽  
Simulation Results

The modified propagator method(MPM) improves the performances of DOA estimation, but compared with the propagator method (PM), the computational loads increase, especially under large number of antenna array elements condition. This paper studies the principle of using unitary transform to rearrange the propagator, and proposes unitary transformed MPM(UMPM) in order to decrease the computational loads by real-valued computation. The simulation results show that the proposed algorithm can achieve superior precision and lower computational loads than PM, MUSIC and MPM.

scholarly journals DOA Estimation for Coprime Linear Array Based on MI-ESPRIT and Lookup Table

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3043 ◽  
Author(s):  
Weike Zhang ◽  
Xi Chen ◽  
Kaibo Cui ◽  
Tao Xie ◽  
Naichang Yuan
Keyword(s):  
Linear Array ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Spatial Spectrum ◽  
Angle Measurement ◽  
Lookup Table ◽  
Signal Parameters ◽  
Estimation Precision ◽  
Simulation Results ◽  
The Relationship

In order to improve the angle measurement performance of a coprime linear array, this paper proposes a novel direction-of-arrival (DOA) estimation algorithm for a coprime linear array based on the multiple invariance estimation of signal parameters via rotational invariance techniques (MI-ESPRIT) and a lookup table method. The proposed algorithm does not require a spatial spectrum search and uses a lookup table to solve ambiguity, which reduces the computational complexity. To fully use the subarray elements, the DOA estimation precision is higher compared with existing algorithms. Moreover, the algorithm avoids the matching error when multiple signals exist by using the relationship between the signal subspace of two subarrays. Simulation results verify the effectiveness of the proposed algorithm.

scholarly journals Compressed Sensing PARALIND Decomposition-Based Coherent Angle Estimation for Uniform Rectangular Array

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Wu Wei ◽  
Xu Le ◽  
Zhang Xiaofei ◽  
Li Jianfeng
Keyword(s):  
Compressed Sensing ◽  
Data Storage ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Spatial Smoothing ◽  
Rectangular Array ◽  
Propagator Method ◽  
Coherent Sources ◽  
2D Doa Estimation ◽  
Uniform Rectangular Array

In this paper, the topic of coherent two-dimensional direction of arrival (2D-DOA) estimation is investigated. Our study jointly utilizes the compressed sensing (CS) technique and the parallel profiles with linear dependencies (PARALIND) model and presents a 2D-DOA estimation algorithm for coherent sources with the uniform rectangular array. Compared to the traditional PARALIND decomposition, the proposed algorithm owns lower computational complexity and smaller data storage capacity due to the process of compression. Besides, the proposed algorithm can obtain autopaired azimuth angles and elevation angles and can achieve the same estimation performance as the traditional PARALIND, which outperforms some familiar algorithms presented for coherent sources such as the forward backward spatial smoothing-estimating signal parameters via rotational invariance techniques (FBSS-ESPRIT) and forward backward spatial smoothing-propagator method (FBSS-PM). Extensive simulations are provided to validate the effectiveness of the proposed CS-PARALIND algorithm.

scholarly journals Off-Grid DoA Estimation on Non-Uniform Linear Array Using Constrained Hermitian Matrix

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5775
Author(s):  
Hyeonjin Chung ◽  
Jeungmin Joo ◽  
Sunwoo Kim
Keyword(s):  
Toeplitz Matrix ◽  
Linear Array ◽  
Hermitian Matrix ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Estimation Accuracy ◽  
Uniform Linear Array ◽  
Atomic Norm ◽  
Array Structures ◽  
Simulation Results

In this paper, an off-grid direction-of-arrival (DoA) estimation algorithm which can work on a non-uniform linear array (NULA) is proposed. The original semidefinite programming (SDP) representation of the atomic norm exploits a summation of one-rank matrices constructed by atoms, where the summation of one-rank matrices equals a Hermitian Toeplitz matrix when using the uniform linear array (ULA). On the other hand, when the antennas in the array are placed arbitrarily, the summation of one-rank matrices is a Hermitian matrix whose diagonal elements are equivalent. Motivated by this property, the proposed algorithm replaces the Hermitian Toeplitz matrix in the original SDP with the constrained Hermitian matrix. Additionally, when the antennas are placed symmetrically, the performance can be enforced by adding extra constraints to the Hermitian matrix. The simulation results show that the proposed algorithm achieves higher estimation accuracy and resolution than other algorithms on both array structures; i.e., the arbitrary array and the symmetric array.

DOA Estimation for L-Shaped Array Based on Complex FastICA

2013 ◽  
Vol 333-335 ◽  
pp. 636-639
Author(s):  
Xiao Zhi Liu ◽  
Chen Wang
Keyword(s):  
Estimation Algorithm ◽  
Doa Estimation ◽  
Direction Of Arrival Estimation ◽  
Original Signal ◽  
Steering Vector ◽  
Source Signal ◽  
Peak Search ◽  
Simulation Results ◽  
Ica Algorithm ◽  
The Ideal

Combining complex FastICA and L-shaped array DOA (Direction of Arrival) estimation, a new algorithm is proposed. Firstly, the received signal is whitened to reduce the computational load, Secondly, the original signal is restored by the ICA algorithm, Thirdly, the generalized separation matrix is inversed to obtain the estimation of the array manifold. Finally, the estimated steering vector is projected to the ideal L-shaped array to get the final results. This algorithm doesnt need a spectral peak search, What is more, it is able to recover the source signal during the estimation. The formed new algorithm can get faster speed without losing the intrinsic advantage of the original DOA estimation algorithm. Simulation results confirm the validity of the new algorithm.

scholarly journals Blind Direction-of-Arrival Estimation with Uniform Circular Array in Presence of Mutual Coupling

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Song Liu ◽  
Lisheng Yang ◽  
Shizhong Yang ◽  
Qingping Jiang ◽  
Haowei Wu
Keyword(s):  
Mutual Coupling ◽  
Coupling Parameter ◽  
Direction Of Arrival ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Estimation Methods ◽  
Circular Array ◽  
Signal Parameters ◽  
Simulation Results ◽  
Parameter Estimation Methods

A blind direction-of-arrival (DOA) estimation algorithm based on the estimation of signal parameters via rotational invariance techniques (ESPRIT) is proposed for a uniform circular array (UCA) when strong electromagnetic mutual coupling is present. First, an updated UCA model with mutual coupling in a discrete Fourier transform (DFT) beam space is deduced, and the new manifold matrix is equal to the product of a centrosymmetric diagonal matrix and a Vandermonde-structure matrix. Then we carry out blind DOA estimation through a modified ESPRIT method, thus avoiding the need for spatial angular searching. In addition, two mutual coupling parameter estimation methods are presented after the DOAs have been estimated. Simulation results show that the new algorithm is reliable and effective especially for closely spaced signals.

scholarly journals Fast Method for DOA Estimation with Circular and Noncircular Signals Mixed Together

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Yaoping Zeng ◽  
Yixin Yang ◽  
Guangyue Lu ◽  
Qiongdan Huang
Keyword(s):  
Wiener Filter ◽  
Doa Estimation ◽  
Fast Method ◽  
Music Algorithm ◽  
Multistage Wiener Filter ◽  
Unitary Transform ◽  
Practical Engineering ◽  
Noncircular Signals ◽  
Simulation Results ◽  
Array Aperture

Most of the existing algorithms to estimate the direction of arrival (DOA) of signals deal with the situation that all signals are circular. However, it is quite often in practical engineering that circular and noncircular signals appear in the same time. To effectively detect DOA of signals in such circumstances, we propose a novel algorithm. Firstly, using received data and its conjugate, we can detect more signals because of the doubled array aperture. Secondly, through unitary transform and multistage Wiener filter (MSWF) technology, we can obtain the noise subspace of array without performing eigendecomposition. Finally, by employing the improved MUSIC algorithm,we can acquire the DOA of the mixed circular and noncircular signals through two-stage search. Simulation results clearly demonstrate the effectiveness of the proposed algorithm.

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.

Sign in / Sign up

Export Citation Format

Share Document