An algorithm for DOA estimation of interference signals from satellite navigation that considering channel errors of array antenna is presented

2020 ◽  
Author(s):  
Kejin Cao ◽  
Zhengwang Luo ◽  
Bao Li ◽  
Hengchao Ma
Keyword(s):  
Doa Estimation ◽  
Satellite Navigation ◽  
Array Antenna ◽  
Interference Signals ◽  
Channel Errors

scholarly journals Estimation of Interference Arrival Direction Based on a Novel Space-Time Conversion MUSIC Algorithm for GNSS Receivers

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2570 ◽  
Author(s):  
Hao Wang ◽  
Qing Chang ◽  
Yong Xu ◽  
Xianxu Li
Keyword(s):  
Doa Estimation ◽  
Space Time ◽  
Variable Step Size ◽  
Arrival Direction ◽  
Music Algorithm ◽  
Step Size ◽  
Multiple Signal Classification ◽  
Variable Step ◽  
Gnss Receivers ◽  
Interference Signals

In the estimation of the direction of arrival (DOA) for interference signals, the direction-finding error of the multiple signal classification (MUSIC) algorithm will increase in the case of multiple interferences or when the interfering signal power is weak. In this paper, a space-time conversion MUSIC (STC-MUSIC) algorithm is proposed, and the concept of a focusing parameter is introduced to improve the performance of the DOA estimation. Meanwhile, a method of variable step size peak search is proposed to reduce the amount of calculation of the STC-MUSIC algorithm. The final simulation and experimental results show that the STC-MUSIC algorithm improves the purity of the noise subspace effectively, thus improving the precision and robustness of the DOA estimation for interference signals significantly. In comparison to traditional algorithms, the convergence, stability, root mean square error (RMSE) and other performance characteristics are improved greatly.

DOA estimation using array antenna with large inter-element spacing

2012 ◽  
Author(s):  
Matthew Gialich ◽  
Andrew Im ◽  
Tae Lee ◽  
Zekeriya Aliyazicioglu ◽  
H. K. Hwang
Keyword(s):  
Doa Estimation ◽  
Array Antenna

The Research of DOA Estimation Algorithms in the Conformal Array Antenna

2015 ◽  
Vol 743 ◽  
pp. 471-473
Author(s):  
C.Z. Sun
Keyword(s):  
Doa Estimation ◽  
Array Antenna ◽  
Signal Subspace ◽  
Music Algorithm ◽  
Estimation Algorithms ◽  
Conformal Array ◽  
Array Antennas ◽  
Peak Search ◽  
Simulation Results ◽  
Rayleigh Limit

To the conformal array antennas, the conventional DOA estimation algorithms will be affected by the Rayleigh limit. While, the MUSIC algorithm can solve this problem, it fully utilizes the orthogonality of noise subspace and signal subspace. It can achieve the DOA estimation through the spectrum peak search. The MUSIC algorithm is analyzed. Based on the cylindrical and conical array antenna, the algorithms are simulated. The simulation results show that the array arrangement mode can exert an important influence on the DOA estimation.

Studies on Novel Satellite Navigation and Positioning System Anti-Jamming Architecture

2014 ◽  
Vol 551 ◽  
pp. 417-424
Author(s):  
Wen Zhun Huang
Keyword(s):  
Theoretical Analysis ◽  
Frequency Domain ◽  
Power Analysis ◽  
Doa Estimation ◽  
Satellite Navigation ◽  
Architecture Design ◽  
Positioning System ◽  
Time Frequency ◽  
Simulation Results

During the course of studying how to improve and optimize the anti-jamming ability of the satellite navigation and positioning system, the satellite channel was faced with many types of jamming signals. It is difficult to adopt one kind of jamming suppression technology to effectively suppress all kinds of jamming. In order to solve these problems, a new anti-jamming architecture for satellite navigation and positioning system is proposed. That is adopting the jamming cognitive method combined with the time-frequency domain jamming type recognition, power analysis and jamming DOA estimation. Also, the anti-jamming architecture design of the satellite navigation and positioning system is given based on the jamming cognition. Theoretical analysis and simulation results show that the anti-jamming architecture can detect the different jamming signals according to different jamming types, simplify the jamming suppression algorithm, grade and classify to suppress jamming signals.

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