CAJ | 학술논문

分析了4种具有代表性的基于辐射源方位线（Lines Of Bearing，LOB）的无源定位算法，即Pages-Zamora定位算法、布朗定位算法、概率定位算法和模糊定位算法。在此基础上提出了融合迭代定位算法，并进行了蒙特卡罗仿真对比实验，对5种算法的定位精度和运算量进行了比较分析。实验结果表明：融合迭代定位算法的综合性能优于其他定位算法。
분석료4충구유대표성적기우복사원방위선（Lines Of Bearing，LOB）적무원정위산법，즉Pages-Zamora정위산법、포랑정위산법、개솔정위산법화모호정위산법。재차기출상제출료융합질대정위산법，병진행료몽특잡라방진대비실험，대5충산법적정위정도화운산량진행료비교분석。실험결과표명：융합질대정위산법적종합성능우우기타정위산법。
The paper analyzes four typical passive location algorithms which are based on Lines Of Bear-ing (LOB)of emitter,puts forward fusion-iteration location algorithm on this basis,makes Monte-Carlo simulation contrast experiment with Pages-Zamora location algorithm,Brown location algorithm,possibili-ty location algorithm and fuzzy location algorithm,and contrasts the location accuracy and calculation a-mount of the above 5 algorithms.Experimental results show that the comprehensive performance of the fu-sion-iteration location algorithm is superior to that of the other location algorithms at the same time.