RELIABILITY PROBLEMS AND PARETO-OPTIMALITY IN COGNITIVE RADAR

被引：0
|
作者：
Soltanalian, Mojtaba [1 ]
Mysore, Bhavani Shankar R. [2 ]
Ottersten, Bjoern [2 ]
机构：
[1] Univ Illinois, ECE Dept, Chicago, IL 60607 USA
[2] Univ Luxembourg, SnT Res Ctr, Luxembourg, Luxembourg
来源：
2016 24TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2016年
关键词：
Cognitive radar; reliability; waveform diversity; waveform optimization; multi-objective optimization; Pareto-optimal design; WAVE-FORM DESIGN; RECEIVE FILTER; CODE DESIGN; INFORMATION-THEORY; TRANSMIT SEQUENCE; ROBUST DESIGN; MIMO RADAR; OPTIMIZATION; TARGETS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Cognitive radar refers to an adaptive sensing system exhibiting high degree of waveform adaptivity and diversity enabled by intelligent processing and exploitation of information from the environment. The next generation of radar systems are characterized by their application to scenarios exhibiting non-stationary scenes as well as interference caused by use of shared spectrum. Cognitive radar systems, by their inherent adaptivity, seem to be the natural choice for such applications. However, adaptivity opens up reliability issues due to uncertainties induced in the information gathering and processing. This paper lists some of the reliability aspects foreseen for cognitive radar systems and motivates the need for waveform designs satisfying different metrics simultaneously towards enhancing the reliability. An iterative framework based on multi-objective optimization is proposed to provide Pareto-optimal waveform designs.
引用
收藏
页码：2225 / 2229
页数：5
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