scholarly journals Doppler Correction to Improve TS-ESPRIT Algorithm Used in NULA

2015 ◽  
Vol 5 (4) ◽  
pp. 290-294 ◽  
Author(s):  
Youssef Fayad ◽  
Caiyun Wang ◽  
Qunsheng Cao
Keyword(s):  
Esprit Algorithm ◽  
Doppler Correction

Full-Polarization Scattering Center Extraction and Parameter Estimation: P-ESPRIT Algorithm

2011 ◽  
Vol 30 (8) ◽  
pp. 1963-1967
Author(s):  
Da-hai Dai ◽  
Xue-song Wang ◽  
Shi-qi Xing ◽  
Shun-ping Xiao
Keyword(s):  
Parameter Estimation ◽  
Scattering Center ◽  
Esprit Algorithm

scholarly journals Multiple RFI Sources Location Method Combining Two-Dimensional ESPRIT DOA Estimation and Particle Swarm Optimization for Spaceborne SAR

2021 ◽  
Vol 13 (6) ◽  
pp. 1207
Author(s):  
Junfei Yu ◽  
Jingwen Li ◽  
Bing Sun ◽  
Yuming Jiang ◽  
Liying Xu
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Geographic Location ◽  
Doa Estimation ◽  
Pso Algorithm ◽  
Two Dimensional ◽  
Swarm Optimization ◽  
Location Method ◽  
Esprit Algorithm ◽  
To Receive

Synthetic aperture radar (SAR) systems are susceptible to radio frequency interference (RFI). The existence of RFI will cause serious degradation of SAR image quality and a huge risk of target misjudgment, which makes the research on RFI suppression methods receive widespread attention. Since the location of the RFI source is one of the most vital information for achieving RFI spatial filtering, this paper presents a novel location method of multiple independent RFI sources based on direction-of-arrival (DOA) estimation and the non-convex optimization algorithm. It deploys an L-shaped multi-channel array on the SAR system to receive echo signals, and utilizes the two-dimensional estimating signal parameter via rotational invariance techniques (2D-ESPRIT) algorithm to estimate the positional relationship between the RFI source and the SAR system, ultimately combines the DOA estimation results of multiple azimuth time to calculate the geographic location of RFI sources through the particle swarm optimization (PSO) algorithm. Results on simulation experiments prove the effectiveness of the proposed method.

Distributed source localization using ESPRIT algorithm

2001 ◽  
Vol 49 (10) ◽  
pp. 2169-2178 ◽  
Author(s):  
S. Shahbazpanahi ◽  
S. Valaee ◽  
M.H. Bastani
Keyword(s):  
Source Localization ◽  
Distributed Source ◽  
Esprit Algorithm

scholarly journals On the sensitivity of the ESPRIT algorithm to non-identical subarrays

Sadhana ◽  
1990 ◽  
Vol 15 (3) ◽  
pp. 197-212 ◽  
Author(s):  
A Swindlehurst ◽  
T Kailath
Keyword(s):  
Esprit Algorithm

scholarly journals Joint 2D-DOA and Frequency Estimation for L-Shaped Array Using Iterative Least Squares Method

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Ling-yun Xu ◽  
Xiao-fei Zhang ◽  
Zong-ze Xu ◽  
Miao Yu
Keyword(s):  
Least Squares ◽  
Least Squares Method ◽  
Frequency Estimation ◽  
Spectral Peak ◽  
Propagator Method ◽  
Esprit Algorithm ◽  
Delay Matrix

We introduce an iterative least squares method (ILS) for estimating the 2D-DOA and frequency based on L-shaped array. The ILS iteratively finds direction matrix and delay matrix, then 2D-DOA and frequency can be obtained by the least squares method. Without spectral peak searching and pairing, this algorithm works well and pairs the parameters automatically. Moreover, our algorithm has better performance than conventional ESPRIT algorithm and propagator method. The useful behavior of the proposed algorithm is verified by simulations.

scholarly journals Effect of varying Number of Spacing between Antenna Elements, Snapshots, SNR on AP ML, AP-SSF and ESPRIT Algorithm

2021 ◽  
Vol 11 ◽  
pp. 143-150
Author(s):  
Vinod Kumar ◽  
Sanjeev Kumar Dhull
Keyword(s):  
Signal Processing ◽  
Maximum Likelihood ◽  
Key Words ◽  
Array Signal Processing ◽  
Direction Of Arrival ◽  
Performance Comparison ◽  
Direction Of Arrival Estimation ◽  
Multiple Sources ◽  
Alternating Projection ◽  
Esprit Algorithm

The direction of arrival estimation is the main key problem in array signal processing. In this paper, the alternating projection maximum Likelihood (AP-ML), Alternating projection sub space framework (APSSF) and ESPRIT algorithm are studied. The simulation is performed in MATLAB for single and multiple sources. The effect of the varying number of spacing between antenna elements, number of snapshots and SNR are studied. The performance comparison shows that ESPRIT algorithm performs better as compared to the AP-ML and AP-SSF. Key-Words: - AP-ML, AP-SSF, Direction of Arrival, ESPRIT, Snapshots, SNR

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