کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10368946 | 875177 | 2005 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Automatic modulation recognition of MPSK signals using constellation rotation and its 4th order cumulant
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
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چکیده انگلیسی
We derive and analyze a new pattern recognition approach for automatic modulation recognition of MPSK (2, 4, and 8) signals in broad-band Gaussian noise. Presented method is based on constellation rotation of the received symbols, and a 4th order cumulant of a 1D distribution of the signal's in-phase component. Using Fourier series expansion of this cumulant as a function of the rotation angle, we extract invariant features which are then used in a neural classifier. Discrimination power of the proposed set of features is verified through extensive simulations, and the performance of the suggested algorithm is compared to the maximum-likelihood (ML) classifiers. Corresponding results show that our technique is comparable to the coherent ML classifier and outperforms the non-coherent pseudo-ML method for all considered signal-to-noise ratio (SNR) without the computational overhead of the latter.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Digital Signal Processing - Volume 15, Issue 3, May 2005, Pages 295-304
Journal: Digital Signal Processing - Volume 15, Issue 3, May 2005, Pages 295-304
نویسندگان
Maciej Pedzisz, Ali Mansour,