کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10370397 | 876084 | 2005 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A mutual information extension to the matched filter
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A mutual information extension to the matched filter A mutual information extension to the matched filter](/preview/png/10370397.png)
چکیده انگلیسی
Matched filters are the optimal linear filters for signal detection under linear channel and white noise conditions. Their optimality is guaranteed in the additive white Gaussian noise channel due to the sufficiency of second-order statistics. In this paper, we introduce a nonlinear filter for signal detection based on the Cauchy-Schwartz quadratic mutual information (CS-QMI) criterion. This filter is still implementing correlation but now in a high-dimensional transformed space defined by the kernel utilized in estimating the CS-QMI. Simulations show that the nonlinear filter significantly outperforms the traditional matched filter in nonlinear channels, as expected. In the linear channel case, the proposed filter outperforms the matched filter when the received signal is corrupted by impulsive noise such as Cauchy-distributed noise, but performs at the same level in Gaussian noise. A simple nonparametric sample estimator for CS-QMI is derived for real-time implementation of the proposed filter.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 85, Issue 5, May 2005, Pages 927-935
Journal: Signal Processing - Volume 85, Issue 5, May 2005, Pages 927-935
نویسندگان
Deniz Erdogmus, Rati Agrawal, Jose C. Principe,