Abstract
The power of Beidou satellite signals is very low, so it is vulnerable to interfering sources and in the presence of jamming. Therefore, a robust constrained inverse beamforming algorithm based on space-time adaptive processing is proposed, which can not only reduce the sidelobe level to suppress interference better, but also achieve the lower complexity, and then introducing the steering vector uncertainty set model into the algorithm to improve its stability. In the simulation, the proposed algorithm can be verified to have good beamforming capability and higher signal-to-interference noise ratio (SINR) improvement even in the case of low signal to noise ratio (SNR) and high interference to noise ratio (INR).
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
