یک روش کارآمد برای تشخیص مدولاسیون سیگنال‌های MPSK در کانال‌های محو
الموضوعات :
سعید حکیمی
1
(دانشگاه فردوسی مشهد)
الکلمات المفتاحية: الگوریتم زنبور تشخیص نوع مدولاسیون شبکه عصبی,
ملخص المقالة :
شناسایی خودکار نوع مدولاسیون سیگنال‌های دیجیتال برای سامانه‌های مخابرات هوشمند یک ضرورت است. اغلب روش‌های طبقه‌بندی خودکار نوع سیگنال‌های دیجیتال مسئله را در کانال‌های نویز سفید جمع‌شونده بررسی می‌کنند. با این وجود محیط‌های مخابره واقعی از جمله کانال‌های مخابرات بی‌سیم، با اثرات محوشوندگی روبه‌رو هستند. تعداد بسیار کمی از روش‌ها برای کانال‌های محوشدگی ارائه شده است. این مقاله یک روش بسیار کارامد برای شناسایی نوع سیگنال‌های دیجیتال کلیدزنی جابه‌جایی فاز Mتایی پیشنهاد می‌دهد. روش ارائه‌شده ترکیبی ابتکاری است متشکل از شبکه عصبی پرسپترون چندلایه به عنوان طبقه‌بند و الگوریتم زنبور به عنوان بهینه‌ساز و همچنین یک همسان‌ساز برای کاهش اثرات کانال استفاده شده است. یک ترکیب مناسب از آمارگان مرتبه بالا تا مرتبه هشت، به عنوان مشخصه‌های سیگنال‌ها در نظر گرفته شده است. نتایج شبیه‌سازی کارامدی بالای تکنیک ارائه‌شده را برای تشخیص نوع سیگنال‌های دیجیتال، حتی در نسبت‌های سیگنال به نویز پایین، تأیید می‌کنند.
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