Effects of Power Inversion Spatial Only Adaptive Array on GNSS Receiver Measurements

The Spatial Only Processing Power Inversion (SOP-PI) algorithm is frequently used in Global Navigation Satellite System (GNSS) adaptive array receivers for interference mitigation because of its simplicity of implementation. This study investigates the effects of SOP-PI on receiver measurements for high-precision applications. Mathematical deductions show that if an array with a centro-symmetrical geometry is used, ideally, SOP-PI is naturally bias-free; however, this no longer stands when non-ideal factors, including array perturbations and finite-sample effect, are added. Simulations are performed herein to investigate how exactly the array perturbations affect the carrier phase biases, while diagonal loading and forward-backward averaging are proposed to counter the finite-sample effect. In conclusion, whether SOP-PI with a centro-symmetrical array geometry will satisfy the high precision demands mainly depends on the array perturbation degree of the element amplitude and the phase center.

[1]  Inder J. Gupta,et al.  On-the-Fly Estimation of Antenna Induced Biases in SFAP Based GNSS Antenna Arrays , 2013 .

[2]  Inder J. Gupta,et al.  Desired Features of Adaptive Antenna Arrays for GNSS Receivers , 2016, Proceedings of the IEEE.

[3]  Pau Closas,et al.  Robust GNSS Receivers by Array Signal Processing: Theory and Implementation , 2016, Proceedings of the IEEE.

[4]  Jian Li,et al.  On robust Capon beamforming and diagonal loading , 2003, IEEE Trans. Signal Process..

[5]  Harry L. Van Trees,et al.  Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory , 2002 .

[6]  B. Carlson Covariance matrix estimation errors and diagonal loading in adaptive arrays , 1988 .

[7]  Michael D. Zoltowski,et al.  Advanced adaptive null steering concepts for GPS , 1995, Proceedings of MILCOM '95.

[8]  Manuel Cuntz,et al.  Concepts, Development, and Validation of Multiantenna GNSS Receivers for Resilient Navigation , 2016, Proceedings of the IEEE.

[9]  Andrew O'Brien,et al.  Prediction of Antenna and Antenna Electronics Induced Biases in GNSS Receivers , 2007 .

[10]  I.J. Gupta,et al.  Space-frequency adaptive Processing (SFAP) for radio frequency interference mitigation in spread-spectrum receivers , 2004, IEEE Transactions on Antennas and Propagation.

[11]  Kaare Brandt Petersen,et al.  The Matrix Cookbook , 2006 .

[12]  Jay R. Sklar Interference Mitigation Approaches for the Global Positioning System , 2003 .

[13]  Adviser Fernando Teixeira Estimation of Adaptive Antenna Induced Phase Biases in Global Navigation Satellite Systems Receiver Measurements , 2009 .

[14]  G. Carrie,et al.  Stabilizing the Phase Response of Blind Array Processors for GNSS Interference Cancellation , 2006, 2006 IEEE/ION Position, Location, And Navigation Symposium.

[15]  Inder J. Gupta,et al.  Mitigation of Adaptive Antenna Induced Bias Errors in GNSS Receivers , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[16]  Boris Pervan,et al.  Navigation, Interference Suppression, and Fault Monitoring in the Sea-Based Joint Precision Approach and Landing System , 2008, Proceedings of the IEEE.

[17]  Michael J. Rycroft,et al.  Understanding GPS. Principles and Applications , 1997 .

[18]  Negin Sokhandan,et al.  Precise Calibration of a GNSS Antenna Array for Adaptive Beamforming Applications , 2014, Sensors.

[19]  Concepts , 2019, Handbook on Gender and Violence.

[20]  D. Hermes,et al.  Navigation , 2019, Building Xamarin.Forms Mobile Apps Using XAML.

[21]  John J. Vaccaro,et al.  Wideband cancellation of interference in a GPS receive array , 2000, IEEE Trans. Aerosp. Electron. Syst..

[22]  Andrew O'Brien Adaptive Antenna Arrays for Precision GNSS Receivers , 2009 .