Robust Waveform Design Based on Bisection and Maximum Marginal Allocation Methods with the Concept of Information Entropy
المؤلفون المشاركون
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-23، 23ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-08-06
دولة النشر
مصر
عدد الصفحات
23
التخصصات الرئيسية
الملخص EN
Cognitive radar can overcome the shortcomings of traditional radars that are difficult to adapt to complex environments and adaptively adjust the transmitted waveform through closed-loop feedback.
The optimization design of the transmitted waveform is a very important issue in the research of cognitive radar.
Most of the previous studies on waveform design assume that the prior information of the target spectrum is completely known, but actually the target in the real scene is uncertain.
In order to simulate this situation, this paper uses a robust waveform design scheme based on signal-to-interference-plus-noise ratio (SINR) and mutual information (MI).
After setting up the signal model, the SINR and MI between target and echo are derived based on the information theory, and robust models for MI and SINR are established.
Next, the MI and SINR are maximized by using the maximum marginal allocation (MMA) algorithm and the water-filling method which is improved by bisection algorithm.
Simulation results show that, under the most unfavorable conditions, the robust transmitted waveform has better performance than other waveforms in the improvement degree of SINR and MI.
By comparing the robust transmitted waveform based on SINR criterion and MI criterion, the influence on the variation trend of SINR and MI is explored, and the range of critical value of Ty is found.
The longer the echo observation time is, the better the performance of the SINR-based transmitted waveform over the MI-based transmitted waveform is.
For the mutual information between the target and the echo, the performance of the MMA algorithm is better than the improved water-filling algorithm.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Bin& Hao, Xiaolei. 2020. Robust Waveform Design Based on Bisection and Maximum Marginal Allocation Methods with the Concept of Information Entropy. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-23.
https://search.emarefa.net/detail/BIM-1194485
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Bin& Hao, Xiaolei. Robust Waveform Design Based on Bisection and Maximum Marginal Allocation Methods with the Concept of Information Entropy. Mathematical Problems in Engineering No. 2020 (2020), pp.1-23.
https://search.emarefa.net/detail/BIM-1194485
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Bin& Hao, Xiaolei. Robust Waveform Design Based on Bisection and Maximum Marginal Allocation Methods with the Concept of Information Entropy. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-23.
https://search.emarefa.net/detail/BIM-1194485
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1194485
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر