High Resolution DOA Estimation Algorithm for Underdetermined Quasi-stationary Signals

2021 ◽  
Author(s):  
Liangjun Zhang ◽  
Xin Zheng ◽  
Changyong Chen ◽  
Jiwei Tang ◽  
Jingxiao Li ◽  
...  
Keyword(s):  
High Resolution ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Stationary Signals

High-Resolution DOA Estimation Algorithm for a Single Acoustic Vector Sensor at Low SNR

2020 ◽  
Vol 68 ◽  
pp. 6142-6158
Author(s):  
Jun Zhang ◽  
Xiangyuan Xu ◽  
Zhifei Chen ◽  
Ming Bao ◽  
Xiao-Ping Zhang ◽  
...  
Keyword(s):  
High Resolution ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Acoustic Vector Sensor ◽  
Low Snr ◽  
Vector Sensor

scholarly journals DOA Estimation of Wideband Cyclic MUSIC Algorithm under Rayleigh Fading Environment in MIMO Systems

2020 ◽  
Vol 9 (1) ◽  
pp. 1834-1837
Keyword(s):  
High Resolution ◽  
Rayleigh Fading ◽  
Array Signal Processing ◽  
Mimo Systems ◽  
Direction Of Arrival ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Mimo Radar ◽  
Direction Of Arrival Estimation ◽  
Music Algorithm

Direction of arrival (DOA) estimation has, for quite some time been a challenging situation in most of the wireless communication applications, radar and sonar. The resolution of the direction of arrival estimation can be increased using the help of array signal processing. The performance of the direction of arrival estimation for multiple input multiple output(MIMO) radar systems has been reviewed for cyclic Multiple Signal Classification(MUSIC), extended cyclic MUSIC and Wideband cyclic MUSIC under Rayleigh fading environment. MUSIC and its variants have been taken into consideration for the analysis as these have been a very good parameter estimation technique due its low cost, high resolution and stability. Direction of Arrival estimation clubbed with cyclostationarity has been included into the new algorithm because of its immunity to noise and interference. The new algorithm along with cyclic correlations when applied to these signals, improves the performance of the entire system substantially. The performance of this wideband cyclic MUSIC high resolution direction of arrival estimation algorithm over the Rayleigh fading is analyzed in this paper. The simulation results citing the three methods show the performance of these methods in presence of the fading environments.

Battlefield Acoustic Target Localization in Electronic Sentinel System

2012 ◽  
Vol 490-495 ◽  
pp. 1348-1352
Author(s):  
Guang Yu Liu ◽  
Cheng Zhang ◽  
Tie Lin Liu
Keyword(s):  
High Resolution ◽  
Direction Of Arrival ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Target Localization ◽  
Circular Array ◽  
Rigid Cylinder ◽  
Localization Algorithms ◽  
Acoustic Target

The problem of battlefield acoustic target localization is studied based on an array model of a uniform circular array (UCA) mounted on a rigid cylinder including beamforming technology and high resolution direction of arrival (DOA) estimation algorithm. The influence of various facts to the discussed localization algorithms is analyzed. It is concluded that the direction of the battlefield acoustic target can be achieved by the proposed high resolution DOA estimation algorithm. The performance of the eigen-beam beamforming array and the high resolution DOA estimation algorithm can be improved by the rigid cylinder.

Computationally efficient high resolution DOA estimation algorithm

2001 ◽  
Vol 37 (12) ◽  
pp. 795 ◽  
Author(s):  
In Ig Kim ◽  
Gyu Tae Park ◽  
Kyun Kyung Lee
Keyword(s):  
High Resolution ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Computationally Efficient

scholarly journals Weighted Block Sparse Recovery Algorithm for High Resolution DOA Estimation with Unknown Mutual Coupling

Electronics ◽  
2018 ◽  
Vol 7 (10) ◽  
pp. 217 ◽  
Author(s):  
Dandan Meng ◽  
Xianpeng Wang ◽  
Mengxing Huang ◽  
Chong Shen ◽  
Guoan Bi
Keyword(s):  
High Resolution ◽  
Mutual Coupling ◽  
Sparse Matrix ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Sparse Recovery ◽  
Recovery Algorithm ◽  
Weighted Matrix ◽  
Array Aperture ◽  
Penalty Algorithm

Based on weighted block sparse recovery, a high resolution direction-of-arrival (DOA) estimation algorithm is proposed for data with unknown mutual coupling. In our proposed method, a new block representation model based on the array covariance vectors is firstly formulated to avoid the influence of unknown mutual coupling by utilizing the inherent structure of the steering vector. Then a weighted 1l -norm penalty algorithm is proposed to recover the block sparse matrix, in which the weighted matrix is constructed based on the principle of a novel Capon space spectrum function for increasing the sparsity of solution. Finally, the DOAs can be obtained from the position of the non-zero blocks of the recovered sparse matrix. Due to the use of the whole received data of array and the enhanced sparsity of solution, the proposed method effectively avoids the loss of the array aperture to achieve a better estimation performance in the environment of unknown mutual coupling in terms of both spatial resolution and accuracy. Simulation experiments show the proposed method achieves better performance than other existing algorithms to minimize the effects of unknown mutual coupling.

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