Amplifier-in-the-Loop Adaptive Radar Waveform Synthesis

被引：5

作者：

Eustice, Dylan ^{[1
]}

Latham, Casey ^{[2
]}

Baylis, Charles ^{[2
]}

Marks, Robert J., II ^{[2
]}

Cohen, Lawrence ^{[3
]}

机构：

[1] Numerica, Ft Collins, CO 80528 USA

[2] Baylor Univ, Dept Elect & Comp Engn, Waco, TX 76798 USA

[3] Naval Res Lab, Radar Div, Washington, DC 20375 USA

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2017年 / 53卷 / 02期

基金：

美国国家科学基金会;

关键词：

DIGITAL PREDISTORTION; PHASE;

D O I：

10.1109/TAES.2017.2665158

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

Adaptive algorithms having the capacity to perform real-time optimization in response to a dynamic environment will be necessary for the development of a cognitive radar technology. This paper details an amplifier-in-the-loop algorithm to synthesize radar waveforms which are optimized for desired ambiguity function characteristics in a monostatic radar system, with constraints on the peak-to-average power ratio and spectrum of the waveform. The algorithm uses alternating projections to search for a waveform whose ambiguity function best approximates the goal for a volume-based constraint in desired regions of the range-Doppler plane. Results are shown for both simulation and measurement cases, both with and without the effects of a nonlinear amplifier. This waveform synthesis method is expected to be useful in real-time adaptive radar systems.

引用

页码：826 / 836

页数：11

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