基于TDOA/TSOA的ADS-B虚假信号检测技术研究

广播式自动相关监视(ADS-B)开放式监视构架的特点使其面临易受人为虚假欺骗的安全性挑战。本文设置多个ADS-B基站,利用ADS-B信号的到达时间差(TDOA)与到达时间和(TSOA)对飞机实际位置进行多点定位,与ADS-B信号解码所得位置信息进行比对,从而剔除虚假飞机目标。首先实现ADS-B基站间的时间同步,建立基于TDOA/TSOA的定位模型与算法,给出了利用Friedlander算法获取初值的改进的Taylor级数算法以获取飞机位置。运用蒙特卡洛方法进行了四基站和五基站的仿真实验,结果表明,与现有Taylor级数算法相比,改进算法能提供更精确的飞机位置,并且五基站的定位性能要优于四基站的定位性能。

Study on False Signal Detection Technology of ADS-B Based on TDOA/TSOA

Automatic Dependent Surveillance-Broadcast (ADS-B) faces the safety challenge that is vulnerable to spoofing due to its open surveillance framework. In this paper, some ADS-B stations are set to position the aircraft by multilateration by use of Time Difference of Arrival (TDOA) and Time Sum of Arrival (TSOA) of ADS-B signals, and the false aircraft is eliminated by matching the calculated position of aircraft with the aircraft position decoding from ADS-B signals. Firstly, the time synchronization is achieved between ADS-B stations, the location model and algorithm is established based TDOA/TSOA. Then a modified Taylor algorithm using the Friedlander algorithm to get the initial value of the Taylor algorithm is proposed to calculate the plane position. The Monte Carlo simulation of four stations and five stations is carried out, the results show that the more accurate position can be achieved compared with the existing algorithms. And the five stations can achieve more accurate position compared with the four stations.