一种改进的FastICA ADS-B 1090ES信号分离技术

针对多点定位技术中广播式自动相关监视(ADS-B)1090ES信号脉冲交叉重叠的问题,提出一种改进的三阶收敛的牛顿迭代快速固定点(Fast ICA)算法,通过对多个ADS-B辐射源混合信号进行分离,恢复和重建原始信号,实现对目标源信号的提取。比较基本Fast ICA算法与改进Fast ICA算法的收敛速度,通过计算相似系数矩阵,分析该算法的分离性能。最后,通过仿真实验,验证了该算法的可行性和有效性,实验结果表明该算法具有较好的分离效果,收敛速度更快。

An Improved FastICA ADS-B 1090 ES Signal Separation Technique

In order to solve the ADS-B 1090ES signal pulses overlap problem of multi-point positioning technology, an improved third-order convergence of Newton iterative fast independent component analysis（ Fast ICA） algorithm is proposed. Through sepa-rating mixed of multiple radiation sources signal, to recovery and reconstruct the original signal, achieve extraction of the target source signal. This paper compares basic algorithm with improved Fast ICA algorithm convergence speed, by calculating the simi-larity coefficient matrix, analyzes the separation performance of the algorithm. Finally, the simulation results verify the feasibility and effectiveness of the algorithm, the results show that the algorithm has better separation efficiency, convergence is faster.