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تشخیص مدولاسیون درون پالسی با استفاده از اطلاعات زمان-فرکانسی مبتنی بر توزیع بهبودیافته B | ||
پدافند الکترونیکی و سایبری | ||
مقاله 10، دوره 7، شماره 1 - شماره پیاپی 25، خرداد 1398، صفحه 129-138 اصل مقاله (1.28 M) | ||
نوع مقاله: مقاله پژوهشی | ||
نویسندگان | ||
محمد ثابتیان* 1؛ حمید دهقانی2؛ حسین رعنایی3 | ||
1دانشجوی دکترای جنگ الکترونیک، دانشگاه جامع امام حسین(ع) | ||
2دانشیار، دانشگاه صنعتی مالک اشتر | ||
3کارشناسی ارشد مخابرات، دانشگاه تبریز | ||
تاریخ دریافت: 17 اسفند 1396، تاریخ پذیرش: 21 مهر 1397 | ||
چکیده | ||
در محیط جنگ الکترونیک، رادارها میتوانند دارای مدولاسیونهای درون پالسی و بین پالسی متفاوتی باشند که باعث تمایز بین آنها میشود. تشخیص مدولاسیون درون پالسی در شرایطی که SNR منفی است موضوع مورد علاقه پژوهشگران است. در این مقاله با استفاده از روش فرکانسی و زمان- فرکانس به تفکیک مدولاسیونهای درون پالسی میپردازیم. در این روش به تفکیک مدولاسیونهای LFM، 4FSK، 2FSK، BPSK و NM میپردازیم. الگوریتم این روش بر مبنای ویژگی است و قادر به طبقهبندی تمام سیگنالهای راداری از این نوع مدولاسیونهاست. برای تشخیص مدولاسیون از ویژگیهای زمان- فرکانسی مبتنی بر تبدیل زمان- فرکانس بهبودیافته B استفاده شده است. نوآوری این مقاله نسبت به مقالات دیگر در استفاده از ویژگیهای جدید از توزیع زمان فرکانس است. در این الگوریتم بعد از استفاده از توزیع زمان فرکانس، بعد آن کاهش دادهشده است. و در هر فرکانس بیشترین مقدار زمانی در نظر گرفتهشده و ویژگیهای مدنظر از روی سیگنال استخراج شده است. الگوریتم ارائهشده قابلیت تفکیک صددرصدی سیگنالهای راداری را برای این تعداد مدولاسیون درون پالسی تا نسبت سیگنال به نویز dB 11 را دارد. دوحالتی که روشهای مشابه دقت کمتری در رنج dB 5- تا dB 5 دارد. | ||
کلیدواژهها | ||
مدولاسیون درون پالسی؛ توزیع بهبودیافته B؛ Probability of successful recognition | ||
عنوان مقاله [English] | ||
Intra-pulse Modulation Recognition Using Time-Frequency Features Based on Modified-B Distribution | ||
نویسندگان [English] | ||
M. Sabetian1؛ H. Dehghani2؛ H. Ranaei3 | ||
1imam hossein university | ||
2malekashtar university | ||
3tabriz university | ||
چکیده [English] | ||
In the electronic warfare environment, radars can be differentiated according to intra-pulse and inter-pulse modulations. Detection of intra-pulse modulation with negative SNR is a topic of interest to researchers. In this paper separation of intra-pulse modulation with frequency and time-frequency methods is presented. Using this method, we can categorize different types of LFM, 4FSK, 2FSK, BPSK, and NM modulations. The algorithm of this method is based on characteristics and it is able to classify all radar signals from these types of modulations. To detect the modulation, time-frequency characteristics based on the improved time-frequency transform, B, have been used. The innovation in this research, is the use of new characteristics of time-frequency distribution. The proposed algorithm uses time-frequency distribution to analyze radar signals. Dimension reduction is performed next, then for each frequency the maximum time value is considered and the characteristics are extracted from signal. The presented algorithm has 100% capability of separating radar signals for this number of intra-pulse signals up to -11dB of SNR whereas similar methods have less accuracy with SNR range between -5db to 5db. | ||
کلیدواژهها [English] | ||
Intra-pulse modulation, Modified-B distribution, Probability of successful recognition | ||
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مراجع | ||
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