A Doppler Robust Max-Min Approach to Radar Code Design

被引：54

作者：

De Maio, Antonio ^{[1
]}

Huang, Yongwei ^{[2
]}

Piezzo, Marco ^{[1
]}

机构：

[1] Univ Naples Federico II, Dipartimento Ingn Biomed Elettron & Telecomunicaz, I-80125 Naples, Italy

[2] Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Kowloon, Hong Kong, Peoples R China

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2010年 / 58卷 / 09期

关键词：

Non-convex quadratic optimization; non-negative trigonometric polynomials; radar waveform design; semidefinite programming relaxation; waveform diversity; OPTIMIZATION; PERFORMANCE;

D O I：

10.1109/TSP.2010.2050317

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：

This correspondence considers the problem of robust waveform design in the presence of colored Gaussian disturbance under a similarity and an energy constraint. We resort to a max-min approach, where the worst case detection performance (over the possible Doppler shifts) is optimized with respect to the radar waveform under the previously mentioned constraints. The resulting optimization problem is a non-convex Quadratically Constrained Quadratic Program (QCQP) with an infinite number of constraints, which is NP-hard in general and typically difficult to solve. Hence, we propose an algorithm with a polynomial computational complexity to generate a good sub-optimal solution for the aforementioned QCQP. The analysis, conducted in comparison with some known radar waveforms, shows that the sub-optimal solutions by the algorithm lead to high-quality radar signals.

引用

页码：4943 / 4947

页数：5