CAJ | 학술논문

针对广播式自动相关监视系统中的虚假目标识别问题，采用一种到达时间差与到达时间和2种定位方法相结合的新型混合定位方法，获取目标真实空间位置，将其与自动相关监视报文中的位置数据进行比对来判断虚假目标。为使混合定位更加精确与快速，利用最小二乘法对目标初始定位，再将其作为Taylor级数展开迭代的初值，精确估计目标位置。模拟仿真结果表明，混合定位方法解决了Taylor级数展开算法中结果可能不收敛的问题，且在相同地面站布局条件下，其精度和稳定性较传统到达时间差定位方法更高。
침대엄파식자동상관감시계통중적허가목표식별문제，채용일충도체시간차여도체시간화2충정위방법상결합적신형혼합정위방법，획취목표진실공간위치，장기여자동상관감시보문중적위치수거진행비대래판단허가목표。위사혼합정위경가정학여쾌속，이용최소이승법대목표초시정위，재장기작위Taylor급수전개질대적초치，정학고계목표위치。모의방진결과표명，혼합정위방법해결료Taylor급수전개산법중결과가능불수렴적문제，차재상동지면참포국조건하，기정도화은정성교전통도체시간차정위방법경고。
In order to identify spoof target in Automatic Dependent Surveillance Broadcast(ADS-B) system,a new hybrid location method is proposed by combining Time Difference of Arrival( TDOA) and Time Sum of Arrival( TSOA) to obtain the real space location,identify the spoof target by comparing with the location data in ADS-B message. In order to effectively improve location accuracy, in this paper, the least square algorithm is used to get initial location result, acting as the initial value in Taylor series iteration to get accuracy results. Simulation results show that this mixed algorithm can solve the convergence problem of Taylor method. With the same arrangement of ground stations,the new hybrid method shows better accuracy and is more stable than traditional TDOA location method.