CAJ | 학술논문

针对在有高斯量测噪声和杂波环境下的数据关联问题，提出了一种基于残差三阶累积量的跟踪门算法，通过对残差数据累计序列的三阶累积量的计算，抑制了高斯噪声对跟踪门的影响，且有效地排除了杂波的干扰，从根本上提高了跟踪门的性能。仿真实验结果验证了该算法的有效性和稳健性。
침대재유고사량측조성화잡파배경하적수거관련문제，제출료일충기우잔차삼계루적량적근종문산법，통과대잔차수거루계서렬적삼계루적량적계산，억제료고사조성대근종문적영향，차유효지배제료잡파적간우，종근본상제고료근종문적성능。방진실험결과험증료해산법적유효성화은건성。
Aiming at the data association problem in the Gaussian noise and clutter environment ,a track-ing gate algorithm based on the residual third-order cumulants is proposed ,w hich suppresses the effect of Gaussian noise on the tracking gate ,effectively rules out the clutter interference and fundamentally improves the performance of the tracking gate by adopting the third-order cumulants computation basing on the cumulative residual data sequence .Finally ,the feasibility and effectiveness of this algorithm has been fully verified by its simulation results .