کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
759760 896491 2011 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Genetic algorithm and M-estimator based robust sequential estimation of parameters of nonlinear sinusoidal signals
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
پیش نمایش صفحه اول مقاله
Genetic algorithm and M-estimator based robust sequential estimation of parameters of nonlinear sinusoidal signals
چکیده انگلیسی

Estimation of parameters of nonlinear superimposed sinusoidal signals is an important problem in digital signal processing. In this paper, we consider the problem of estimation of parameters of real valued sinusoidal signals. We propose a real-coded genetic algorithm based robust sequential estimation procedure for estimation of signal parameters. The proposed sequential method is based on elitist generational genetic algorithm and robust M-estimation techniques. The method is particularly useful when there is a large number of superimposed sinusoidal components present in the observed signal and is robust with respect to presence of outliers in the data and impulsive heavy tail noise distributions. Simulations studies and real life signal analysis are performed to ascertain the performance of the proposed sequential procedure. It is observed that the proposed methods perform better than the usual non-robust methods of estimation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Communications in Nonlinear Science and Numerical Simulation - Volume 16, Issue 7, July 2011, Pages 2796–2809
نویسندگان
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