Abstract




 
   

IJE TRANSACTIONS C: Aspects Vol. 31, No. 6 (June 2018) 1248-1256   

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  A NOVEL METHOD FOR DETECTING TARGETS ON INACTIVE RADARS USING AN ADAPTIVE PROCESSING ON THE AMBIGUITY FUNCTION (RESEARCH NOTE)
 
M. Kafi, J. Ranjbar, J. Khalilpour and S. Zare
 
( Received: August 22, 2017 – Accepted: January 04, 2018 )
 
 

Abstract    In this paper a novel method for detecting targets in inactive radars is presented. In this method, the time history of cells of the ambiguity function is used for detection. For this purpose, the cell history is considered as a random field. Then, using a daptive filter, the String time of the desired target are separated from the String time of noise and clusters in the environment. In order to evaluate the performance of the proposed method for an environment including three targets with simulated different distances and speeds, the results are compared with the other two methods in the same conditions. The obtained results shows the superiority of the proposed method compared to its alternatives in such manner that it detects rapid targets at least 12.5 and 8 percent better than ACM and NNTD.

 

Keywords    Bistatic passive Radar, Ambiguity Function, Delay, Doppler, Noise

 

چکیده    در این مقاله یک روش جدید به منظور شناسایی و آشکارسازی اهداف در رادارهای غیر فعال ارائه شده است. در این روش از سابقه زمانی سلول های تابع ابهام برای آشکارسازی استفاده شده است. برای این منظور ابتدا سابقه زمانی سلول ها به صورت یک رشته تصادفی در نظر گرفته می شود. سپس با استفاده از یک فیلتر وفقی رشته های زمانی مربوط به اهداف مورد نظر از رشته های زمانی مربوط به نویز و کلاتر موجود در محیط جدا می شود. به منظور بررسی عملکرد روش پیشنهادی برای محیطی شامل 3 هدف با فواصل و سرعت های متفاوت شبیه سازی و نتایج حاصل از آن با دو روش دیگر در شرایط یکسان مقایسه شده است. نتایج بدست آمده نشان می دهد این روش از نظر درصد آشکار سازی در حدود 5/12 درصد نسبت به دیگر روش ACM و در حدود 8 درصد نسبت به روش NNTD عملکرد بهتری دارد.

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