A STAP anti-interference technology with zero phase bias in wireless IoT systems based on high-precision positioning

Frontiers in Physics

Physics

Xin Li¹  Wei Wang¹  Fang Hao²  Jun Zhao³ 

[1] College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China;College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China;The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang, China;State Key Laboratory of Satellite Navigation System and Equipment Technology, Shijiazhuang, China;The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang, China;State Key Laboratory of Satellite Navigation System and Equipment Technology, Shijiazhuang, China;

关键词: Internet of Things;    STAP;    high-precision;    anti-interference;    fog computing;    GNSS;   

DOI  :  10.3389/fphy.2023.1179615

 received in 2023-03-04, accepted in 2023-03-27,  发布年份 2023

来源: Frontiers

【 摘 要 】

Fog computing has been applied to the data processing for the Internet of Things (IoT) based on distributed high-precision Global Navigation Satellite Systems (GNSS). However, the space-time adaptive processing (STAP) interference suppression technology in the system will cause fog computing data deviation that includes carrier phase bias and pseudocode offset. An unbiased STAP technique is proposed to eliminate these deviations. First, it is analyzed that the carrier phase bias and pseudocode offset are caused by the non-linear phase response of the STAP equivalent filter. Then, a coefficient-constrained method based on practical engineering processing is proposed, which can eliminate these deviations by restricting the tap coefficients to be symmetrically equal around the center-tap. Moreover, by analyzing the coherent integral function of the pseudocode after filtering, the tap structure of STAP is modified to eliminate the group offset of the pseudocode without increasing the computational complexity and hardware resources. Finally, the unbiased performance and anti-interference performance of the system are verified by numerical and real data simulations.

【 授权许可】

Unknown   
Copyright © 2023 Hao, Li, Wang and Zhao.