Reconfigurable and Adaptive Radar Amplifiers for Spectrum Sharing in Cognitive Radar

被引：2

作者：

Baylis, Charles ^{[1
]}

Egbert, Austin ^{[1
]}

Alcala-Medel, Jose ^{[1
]}

Dockendorf, Angelique ^{[1
]}

Calabrese, Caleb ^{[1
]}

Langley, Ellie ^{[1
]}

Martone, Anthony ^{[2
]}

Gallagher, Kyle ^{[2
]}

Viveiros, Ed ^{[2
]}

Peroulis, Dimitrios ^{[3
]}

Semnani, Abbas ^{[3
]}

Marks, Robert J., II ^{[1
]}

机构：

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

[2] Army Res Lab, Adelphi, MD USA

[3] Purdue Univ, Elect & Comp Engn, W Lafayette, IN 47907 USA

来源：

2019 IEEE RADAR CONFERENCE (RADARCONF) | 2019年

关键词：

cognitive radar; power amplifiers; radio spectrum management; TUNER;

D O I：

10.1109/radar.2019.8835613

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：

The increased use of the wireless spectrum for broadband applications has necessitated a new approach to radar transmission. Future radar systems will be required to adjust operating frequency in real time to avoid interference from other wireless devices operating in the same band. This paper describes the use of a 90 W tunable power-amplifier matching circuit to reconfigure a power amplifier for high power-added efficiency and spectral compliance at multiple frequencies within the S-band. To reconfigure the amplifier in real-time spectrum sharing scenarios, a modified gradient search algorithm is employed to tune the amplifier based on measured data. A look-up table allows previous optimum tuner settings to be stored after the first reconfiguration at each operating frequency, allowing faster optimizations upon re-visits to each frequency. Next research steps are discussed; including the streamlining of system timing, operating the search algorithm under control of spectral prediction and decision-making processes and analyzing the effect of impedance tuning on range and Doppler detection.

引用

页数：3

共 6 条

[1]

[Anonymous], 2018, NTIA IDENTIFIES 3 45

[2]

Dockendorf A., 2018, IEEE T AEROSPA UNPUB

[3] Faster Frequency-Agile Reconfiguration of a High-Power Cavity Tuner for Cognitive Radar Using Previous Search Results [J].