Date of Award
Master of Science
Department of Electrical and Computer Engineering
James R. Lievsay, PhD
Widespread availability of long term evolution (LTE) signals makes them potential for use in passive bistatic radar (PBR) applications. However, their utility in such applications is yet to be fully explored. This research focuses on the key LTE signal attributes, such as subcarrier modulation schemes and bandwidth, and their effect on PBR application. space-time adaptive processing (STAP) concepts, both full dimension STAP (FD-STAP) reduced dimension STAP (RD-STAP), were employed to evaluate and compare the effects of varying these signal attributes, in terms of signal to interference-plus-noise ratio (SINR) loss metrics. Simulation results concluded that decreasing LTE signal's bandwidth and increasing its bitrate will worsen both SINRL and SINRL,O. This trend remained valid irrespective of the type of STAP algorithm used. This research further analyzed the SINR performance trade-off resulting from the choice of an LTE signal of opportunity for airborne PBR application solely based on just one of the two signal attributes discussed in this report. Additionally, the impacts of intrinsic clutter motion (ICM) on PBR performance metrics was examined and characterized using FD-STAP.
DTIC Accession Number
Suntharalingam, Sureshan, "Performance Analysis of Long-Term Evoluution Signals in Passive Bistatic Radar Applications Using Reduced Dimension Space-Time Adaptive Processing Techniques" (2021). Theses and Dissertations. 4990.