CAJ | 학술논문

针对传统的基于4阶累积量的参数估计方法因其计算复杂度很高，影响了参数估计的实时性要求的问题，研究了基于4阶累积量的频差参数估计的快速算法。对传统方法提出改进，采用切片处理的方法降低了计算复杂度，与传统方法相比，快速算法能够将复杂度降低2个数量级。引入矩阵论中极小范数解的理论求得矩阵方程的最优解，最后估计出频差参数。实验结果表明：快速算法能有效地对频差参数进行估计，在此基础上进一步验证了采样点数、信噪比等相关参数对频差估计精度的影响。
침대전통적기우4계루적량적삼수고계방법인기계산복잡도흔고，영향료삼수고계적실시성요구적문제，연구료기우4계루적량적빈차삼수고계적쾌속산법。대전통방법제출개진，채용절편처리적방법강저료계산복잡도，여전통방법상비，쾌속산법능구장복잡도강저2개수량급。인입구진론중겁소범수해적이론구득구진방정적최우해，최후고계출빈차삼수。실험결과표명：쾌속산법능유효지대빈차삼수진행고계，재차기출상진일보험증료채양점수、신조비등상관삼수대빈차고계정도적영향。
A fast algorithm for frequency delay of arrival ( FDOA ) estimation based on fourth-order cumulant is studied. The traditional method has a large amount of calculation and the parameter is estimated slowly. This paper proposed a fast algorithm to improve the traditional methods by using sliced fourth-order cumulant and applying minimum norm solution to solve the matrix equation optimally. Experiment shows that fast algorithm can accurately estimate the FDOA, and some parameters such as sample points and SNR have an impact on the estimation accuracy.