Varing forgetting factor correlation function adaptive filtering algorithm;

On the basis of Least-Mean-Square(LMS) filtering and Recursive-Least-Square(RLS) filtering,the recently developed adaptive filtering algorithms such as the neural network approach,the QR decomposition approach,the unified model algorithm,the high-order cumulant-based algorithms are extensively reviewed.

The results of the experiment show that all the measures used in the system can function effectively,but the adaptive filtering algorithm is the best.

It takes the MLMS adaptive filter algorithm to restrain the narrow-band interference and uses nonlinear function of ACM filter to implement the nonlinear processing,thus obviously improving the capability of the adaptive filter.

In relation to the classic time-domain adaptive filter algorithm of narrowband interference suppression,the narrowband interference suppression method based on the QR decomposition is a good performance of the new algorithm.

Aiming at the speciality of transcendental noise statistics and linearization error of measurement model effecting on filter precision during extended kalman filter with applications to passive location of IRSTS,we constructed adaptive two-step filter algorithm model for passive location of IRSTS by means of integrating two-step filtering algorithm with Sage-Husa noise statistics estimator.