Unified ESPRIT spatial spectrum for Direction-of-Arrival estimation with an arbitrary sparse array

2016 ◽  
Author(s):  
Song Liu ◽  
Gang Zhang ◽  
Mingjiang Weng ◽  
Shizhong Yang
Keyword(s):  
Direction Of Arrival ◽  
Spatial Spectrum ◽  
Direction Of Arrival Estimation ◽  
Sparse 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.

scholarly journals An improved algorithm for multiple source direction of arrival estimation

2018 ◽  
Vol 173 ◽  
pp. 03028
Author(s):  
Xuecheng Wang ◽  
Jinquan Ma
Keyword(s):  
Gaussian White Noise ◽  
Direction Of Arrival ◽  
Estimation Algorithm ◽  
Spatial Spectrum ◽  
Multiple Source ◽  
Measuring Error ◽  
Direction Of Arrival Estimation ◽  
Music Algorithm ◽  
The Matrix ◽  
Improved Algorithm

Based on MUSIC-LIKE algorithm, an improved algorithm for multiple source direction of arrival estimation was proposed to resolve the problem, the enabled estimation number of source for traditional direction of arrival estimation algorithm restricted by the size of the antenna array. The computations and the matrix dimension were reduced by constructed new fourth cumulate matrix, the number of direction estimation was increased by smoothing computation snapshots based on MFOCMUSIC algorithm. The spatial spectrum measuring error was decreased by smoothing the virtual array extended by fourth order cumulate. Simulation results proved that the proposed algorithm can find more direction of arrival than MFOC-MUSIC algorithm, improve the direction of arrival resolution ratio, and inhibit the influence of gaussian white noise to direction of arrival estimation

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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