کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
447391 693424 2016 6 صفحه PDF ندارد دانلود رایگان
عنوان انگلیسی مقاله
Parameter estimation of frequency hopping signals based on the Robust S-transform algorithms in alpha stable noise environment
کلمات کلیدی
Robust S-transform; Alpha stable distribution; Frequency hopping signal; Parameter estimation; Fractional lower order statistic; Minimax Huber's robust theory
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
Parameter estimation of frequency hopping signals based on the Robust S-transform algorithms in alpha stable noise environment
چکیده انگلیسی

In many communication systems the noise is non-Gaussian and usually exhibits impulsive characteristics. The alpha stable distribution, which is the only distribution satisfies the generalized central-limit theorem and characterizes a range of behaviors from Gaussian to extremely impulsive signals, is appropriate to model this type of noise. Since the performance of the S-transform (ST) based frequency hopping (FH) signal parameter estimation methods, which are very effective in Gaussian noise, may deteriorate significantly in the presence of impulsive noise, two robust methods based on the ST, i.e., the fractional lower order ST (FLOST) and the iterative ST (IST), are proposed in this paper. Specifically, the FLOST is the combination of fractional lower order statistics and the ST, whereas the IST is the application of the minimax Huber's robust theory to the ST. Both robust ST algorithms exhibit higher time-frequency concentration in the presence of alpha stable noise. Simulation results show that the proposed algorithms are valid for FH signal parameter estimation, and they distinctively outperform the standard ST in impulsive noise environment.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: AEU - International Journal of Electronics and Communications - Volume 70, Issue 5, May 2016, Pages 611–616
نویسندگان
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