A multichannel auto-regressive GLR detector for Gaussian Spectrum Interference in HFSWR

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

The HF surface wave radar, due to its transcendental horizon, makes it possible to detect the targets that the horizon prevents them from detecting in a vast area of the ocean and sea. However, in the event of high level of interference with colored clutter, the efficiency of detecting conventional processes (which is dependent on data) is reduced. Also, the Bragg component of the sea is another factor that prevents the detection of targets. In this paper, the general - purpose M-AR-GLR detector is used in a special case for HF surface wave radar and on the practical samples of sea clutter. It has been shown that with increasing the number of received pulses, the efficiency of detector becomes better. The efficiency of detector is improved by reducing the spatial dependency of the received samples. The detector maintains its performance with little secondary data. In the little signal to interference ratio, the proposed detector maintains its efficiency and is better than the GLR's Kelly. Hence, this detector is effective for sea clutter and HF surface wave radar.

Language:
Persian
Published:
Electronics Industries, Volume:9 Issue: 3, 2018
Pages:
25 to 33
magiran.com/p2034877  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!