Robust Waveform Design Based on Bisection and Maximum Marginal Allocation Methods with the Concept of Information Entropy
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-23, 23 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-06
Country of Publication
Egypt
No. of Pages
23
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194485