Synthesis and analysis of signal parameters estimation algorithm with space-time processing in real numbers operating by antenna array observations

2018 ◽  
Author(s):  
Alexander I. Perov ◽  
Sergey P. Ippolitov
Keyword(s):  
Antenna Array ◽  
Estimation Algorithm ◽  
Space Time ◽  
Parameters Estimation ◽  
Real Numbers ◽  
Time Processing ◽  
Signal Parameters

scholarly journals Comparison of the performance of adaptive space-time processing against the background of alternative methods

2020 ◽  
Vol 69 (2) ◽  
pp. 129-147
Author(s):  
Anna Ślesicka ◽  
Adam Kawalec
Keyword(s):  
Signal Processing ◽  
Antenna Array ◽  
Target Detection ◽  
Space Time ◽  
Alternative Methods ◽  
Radar Signal ◽  
Radar Signal Processing ◽  
Time Processing ◽  
Simulation Results ◽  
Space Time Adaptive Processing

Description and successive stages of the STAP algorithm were characterized in this article. The ability to detect an object by using 6-element antenna array without space-time processing and using the STAP technique were compared and shown. The simulation results showed that the implemented STAP algorithm successfully coped with target detection. In addition, the possibilities of object detection using the STAP technique were compared and shown against the background of other DPCA and ADPCA algorithms. Keywords: space-time adaptive processing, STAP, DPCA, ADPCA, radar signal processing, radar

scholarly journals Assessment of Measurement Distortions in GNSS Antenna Array Space-Time Processing

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Thyagaraja Marathe ◽  
Saeed Daneshmand ◽  
Gérard Lachapelle
Keyword(s):  
Antenna Array ◽  
Measurement Errors ◽  
Array Processing ◽  
Simulation Method ◽  
Space Time ◽  
Time Processing ◽  
Position Errors ◽  
Relative Placement ◽  
Processing Techniques ◽  
Cross Ambiguity Function

Antenna array processing techniques are studied in GNSS as effective tools to mitigate interference in spatial and spatiotemporal domains. However, without specific considerations, the array processing results in biases and distortions in the cross-ambiguity function (CAF) of the ranging codes. Inspace-time processing (STP)the CAF misshaping can happen due to the combined effect of space-time processing and the unintentional signal attenuation by filtering. This paper focuses on characterizing these degradations for different controlled signal scenarios and for live data from an antenna array. The antenna array simulation method introduced in this paper enables one to perform accurate analyses in the field of STP. The effects of relative placement of the interference source with respect to the desired signal direction are shown using overall measurement errors and profile of the signal strength. Analyses of contributions from each source of distortion are conducted individually and collectively. Effects of distortions on GNSS pseudorange errors and position errors are compared forblind,semi-distortionless,anddistortionlessbeamforming methods. The results from characterization can be useful for designing low distortion filters that are especially important for high accuracy GNSS applications in challenging environments.

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