scholarly journals A Sliding Window Data Compression Method for Spatial-Time DOA Estimation

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Pin-Jiao Zhao ◽  
Guo-Bing Hu ◽  
Li-Wei Wang
Keyword(s):  
Data Compression ◽  
Spatial Information ◽  
Sliding Window ◽  
Doa Estimation ◽  
Sensor Failure ◽  
Compression Method ◽  
Fast Calculation ◽  
Output Matrix ◽  
Physical Sensors ◽  
Coprime Array

This paper presents a sliding window data compression method for spatial-time direction-of-arrival (DOA) estimation using coprime array. The signal model is firstly formulated by jointly using the temporal and spatial information of the impinging sources. Then, a sliding window data compression processing is performed on the array output matrix to realize fast calculation of time average function, and the computational burden has been reduced accordingly. Based on the concept of sum and difference co-array (SDCA), the vectorized conjugate augmented MUSIC is adopted, with which more sources than twice of the physical sensors can be resolved. Additionally, the sparse array robustness to sensor failure has been evaluated by introducing the concept of essential sensors. The theoretical analysis and numerical simulations are provided to confirm the effectiveness performance of the proposed method.

scholarly journals Array Diagnosis and DOA Estimation for Coprime Array under Sensor Failures

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2735
Author(s):  
Bing Sun ◽  
Chenxi Wu ◽  
Huailin Ruan
Keyword(s):  
Covariance Matrix ◽  
Matrix Completion ◽  
Doa Estimation ◽  
Sensor Failure ◽  
Music Algorithm ◽  
Sensor Failures ◽  
Efficient Detection ◽  
The Difference ◽  
Coprime Array ◽  
The Impact

A coprime array of N sensors can achieve O ( N 2 ) degrees of freedom (DOFs) by possessing a uniform linear array segment of size O ( N 2 ) in the difference coarray. However, the structure of difference coarray is sensitive to sensor failures. Once the sensor fails, the impact of failure sensors on the coarray structure may decrease the DOFs and cause direction finding failure. Therefore, the direction of arrival (DOA) estimation of coprime arrays with sensor failures is a significant but challenging topic for investigation. Driven by the need for remedial measures, an efficient detection strategy is developed to diagnose the coprime array. Furthermore, based on the difference coarray, we divide the sensor failures into two scenarios. For redundant sensor failure scenarios, the structure of difference coarray remains unchanged, and the coarray MUSIC (CO-MUSIC) algorithm is applied for DOA estimation. For non-redundant sensor failure scenarios, the consecutive lags of the difference coarray will contain holes, which hinder the application of CO-MUSIC. We employ Singular Value Thresholding (SVT) algorithm to fill the holes with covariance matrix reconstruction. Specifically, the covariance matrix is reconstructed into a matrix with zero elements, and the SVT algorithm is employed to perform matrix completion, thereby filling the holes. Finally, we employ root-MUSIC for DOA estimation. Simulation results verify the effectiveness of the proposed methods.

Hole-Free Coprime Array for DOA Estimation: Augmented Uniform Co-array

2020 ◽  
pp. 1-1
Author(s):  
Penghui Ma ◽  
Jianfeng Li ◽  
Fan Xu ◽  
Zhang Xiaofei
Keyword(s):  
Doa Estimation ◽  
Coprime Array

Sparse DOA estimation based on a shifted coprime array configuration

2016 ◽  
Author(s):  
Saeed M. Alamoudi ◽  
Mohammed A. Aldhaheri ◽  
Saleh A. Alawsh ◽  
Ali H. Muqaibel
Keyword(s):  
Doa Estimation ◽  
Array Configuration ◽  
Coprime Array

DOA estimation in the presence of unknown non‐uniform noise with coprime array

2017 ◽  
Vol 53 (2) ◽  
pp. 113-115 ◽  
Author(s):  
Ye Tian ◽  
Hongyin Shi ◽  
He Xu
Keyword(s):  
Doa Estimation ◽  
Uniform Noise ◽  
Coprime Array

scholarly journals Data compression method based on information preservation for wideband radar LFM signal echo

2019 ◽  
Vol 2019 (21) ◽  
pp. 7568-7572
Author(s):  
Lei Gao ◽  
Yong-hu Zeng ◽  
Lian-dong Wang ◽  
Wei Wang
Keyword(s):  
Data Compression ◽  
Compression Method ◽  
Information Preservation ◽  
Wideband Radar
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