Cramér-Rao Lower Bound (CRLB) Analysis for Unmanned Aerial Vehicle (UAV) Tracking with Randomly Distributed Ground Stations Using FDOA Measurements
Byoung-Yoon Min, Chan-Ho An, Seokjun Hong, Jeen-Sang Jang, Dong‐Ku Kim · 2011
In this paper, the performances of Cramr-Rao Lower Bound (CRLB) with Frequency Difference of Arrival (FDOA) measurements for Unmanned Aerial Vehicle (UAV) tracking are investigated. We focus on two cases: the influence on CRLB with FDOA measurements collected by time, and random distribution of Ground Stations (GSs). We derived the performance by gauging the size of CRLB through Complementary Cumulative Distribution Function (CCDF). From the simulation results, broader distribution of GSs and FDOA measurements by longer time bring about better performance.