Fast Direction of Arrival Estimation Using a Sensor-Saving Coprime Array with Enlarged Inter-Element Spacing

2018 ◽  
Author(s):  
Jianfeng Li ◽  
Mingwei Shen ◽  
Defu Jiang
Keyword(s):  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Coprime Array

Direction of Arrival Estimation Using Coprime Array with Monopole and Patch Antenna Elements

2019 ◽  
Author(s):  
Mohammed A. Yafeai ◽  
Abdulmalik H. Almazrua ◽  
Saleh A. Alawsh ◽  
Ahmad I. Oweis ◽  
Ali H. Muqaibel ◽  
...  
Keyword(s):  
Patch Antenna ◽  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Coprime Array

scholarly journals COPRIME ARRAY PARAMETERS OPTIMIZATION FOR DOA ESTIMATION

2021 ◽  
Vol 4 (2) ◽  
pp. 23-32
Author(s):  
Fatimah A. Salman ◽  
Bayan M. Sabbar
Keyword(s):  
Mutual Coupling ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Parameters Optimization ◽  
Degree Of Freedom ◽  
Direction Of Arrival Estimation ◽  
Sparse Arrays ◽  
Sparse Array ◽  
Simulation Results ◽  
Coprime Array

Sparse array such as the coprime array is one of the most preferable sparse arrays for direction of arrival estimation due to its properties, like simplicity, capability of resolving more sources than the number of elements and resistance to mutual coupling issue.  In this paper, a new coprime array model is proposed to increase the number of degree of freedom (DOF) and improve the performance of coprime array.   The new designed array can avoid the mutual coupling by minimizing the lag redundancy and expand the central lags in the virtual difference co-array. Thus, the propose structure can resolve more sources than the prototype coprime array using the same number of elements with improved direction of arrival estimation. Simulation results demonstrate that the proposed array model is more efficient than the others coprime array model.

An IDFT approach for coprime array direction-of-arrival estimation

2019 ◽  
Vol 94 ◽  
pp. 45-55 ◽  
Author(s):  
Zongyu Zhang ◽  
Chengwei Zhou ◽  
Yujie Gu ◽  
Jinfang Zhou ◽  
Zhiguo Shi
Keyword(s):  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Coprime Array

Compressive sensing-based coprime array direction-of-arrival estimation

2017 ◽  
Vol 11 (11) ◽  
pp. 1719-1724 ◽  
Author(s):  
Chengwei Zhou ◽  
Yujie Gu ◽  
Yimin D. Zhang ◽  
Zhiguo Shi ◽  
Tao Jin ◽  
...  
Keyword(s):  
Compressive Sensing ◽  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Coprime Array

scholarly journals Improving performance of direction-of-arrival estimation using sparse array in passive radar

2020 ◽  
Vol 14 ◽  
pp. 174830262094337
Author(s):  
Geng Chen ◽  
Bo Tian ◽  
Jian Gong ◽  
Cunqian Feng
Keyword(s):  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Passive Radar ◽  
Direct Wave ◽  
Signal Noise ◽  
Sparse Array ◽  
Estimation Performance ◽  
Noise Ratio ◽  
Coprime Array ◽  
The Impact

A method based on sparse array is applied to direction-of-arrival estimation of passive radar in this paper to increase the number of resolvable sources and improve the direction-of-arrival estimation performance for coprime array. The virtual symmetric non-uniform linear array of coprime array based on passive radar signal model is introduced. Considering the impact of direct wave, extensive cancellation algorithm is used to cancel the direct wave, with the conventional MUSIC with spatial smoothing algorithm and virtual aperture filling applied on the sparse array of passive radar; the resolution of target is low in the low signal-noise-ratio. To effectively improve the estimation of the target under the low signal-noise-ratio, a noise subspace reconstruction method is proposed. The proposed direction-of-arrival estimation method can improve the direction-of-arrival estimation performance of passive radar. The simulations are provided to demonstrate the effectiveness of the proposed method.

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