RFI modeling and prediction approach for SATOPS applications

Tien M. Nguyen; Hien T. Tran; Zhonghai Wang; Amanda Coons; Charles C. Nguyen; Steven A. Lane; Khanh D. Pham; Genshe Chen; Gang Wang

doi:10.1117/12.2177955

22 May 2015 RFI modeling and prediction approach for SATOPS applications

Tien M. Nguyen, Hien T. Tran, Zhonghai Wang, Amanda Coons, Charles C. Nguyen, Steven A. Lane, Khanh D. Pham, Genshe Chen, Gang Wang

Author Affiliations +

Proceedings Volume 9469, Sensors and Systems for Space Applications VIII; 94690D (2015) https://doi.org/10.1117/12.2177955
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

This paper describes innovative frameworks to develop RFI modeling and prediction models for (i) estimating the RFI characteristics, (ii) evaluating effectiveness of the existing Unified S-Band (USB) command waveforms employed by civil, commercial and military SATOPS ground stations, and (iii) predicting the impacts of RFI on USB command systems. The approach presented here will allow the communications designer to characterize both friendly and unfriendly RFI sources, and evaluate the impacts of RFI on civil, commercial and military USB SATOPS systems. In addition, the proposed frameworks allow the designer to estimate the optimum transmitted signal power to maintain a required USB SATOPS Quality-of-Service (QoS) in the presence of both friendly and unfriendly RFI sources.

Citation Download Citation

Tien M. Nguyen, Hien T. Tran, Zhonghai Wang, Amanda Coons, Charles C. Nguyen, Steven A. Lane, Khanh D. Pham, Genshe Chen, and Gang Wang "RFI modeling and prediction approach for SATOPS applications", Proc. SPIE 9469, Sensors and Systems for Space Applications VIII, 94690D (22 May 2015); https://doi.org/10.1117/12.2177955

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