Low-Cost, High-Power Jamming Transmitter Based on Magnetron

Jamming signals are usually generated by solid-state microwave sources that are high in cost, low in efficiency, and fragile. In this article, we present a novel approach in which a high-power jamming signal is generated from a continuous-wave magnetron in a low-cost and highly efficient way. The remote-control communication signal of an unmanned aerial vehicle (UAV) is successfully jammed by a magnetron jamming transmitter working around 5.8 GHz. The UAV uses the frequency-hopping binary phase shift keying (FH-BPSK) technique for communication. The magnetron jamming transmitter can adjust its output power and spectrum (which have a strong relation to the jamming results) by changing its anode current. The calculation of the bit error ratio (BER) of FH-BPSK communication under the jamming signal from the magnetron is derived theoretically. Then, the variation of BER under different anode currents of the magnetron and different distances between the UAV and its remote controller are analyzed. The comparison of experimental results and theoretical analysis show that the UAV is successfully jammed when the BER is higher than 6%. Because the distance between the UAV and its remote controller is fixed at 26 m, jamming succeeds when the anode current of the magnetron is between 70 and 120 mA. If the anode current of the magnetron is fixed, jamming could also succeed with a greater distance between the UAV and its remote controller.

[1]  John H. Booske,et al.  Plasma physics and related challenges of millimeter-wave-to-terahertz and high power microwave generationa) , 2008 .

[2]  Peter Strobl,et al.  Monitoring of gas pipelines - a civil UAV application , 2005 .

[3]  Srdjan Capkun,et al.  Efficient uncoordinated FHSS anti-jamming communication , 2009, MobiHoc '09.

[4]  Fabio Remondino,et al.  UAV PHOTOGRAMMETRY FOR MAPPING AND 3D MODELING - CURRENT STATUS AND FUTURE PERSPECTIVES - , 2012 .

[5]  Yi Zhang,et al.  Microwave Power Absorption Mechanism of Metallic Powders , 2018, IEEE Transactions on Microwave Theory and Techniques.

[6]  Shivendra Maurya,et al.  Electromagnetic and Particle-in-Cell Simulation Studies of a High Power Strap and Vane CW Magnetron , 2014, IEEE Transactions on Plasma Science.

[7]  Yang Yang,et al.  Frequency qusai locking and noise reduction of the self-injection qusai locked magnetron , 2016 .

[8]  Sun Hai-peng Analysis of Anti-jamming Performance in Frequency-hopping System with Simulation , 2006 .

[9]  Arko Lucieer,et al.  Development of a UAV-LiDAR System with Application to Forest Inventory , 2012, Remote. Sens..

[10]  Diana Martin,et al.  A method for the 2.45-GHz magnetron output power control , 2001 .

[11]  Jun Luo,et al.  Bit Error Rate Analysis of jamming for OFDM systems , 2007, 2007 Wireless Telecommunications Symposium.

[12]  Zhiqiang Li,et al.  Analysis and research of synchronization technique for frequency-hopping communication systems , 2011, Proceedings of 2011 International Conference on Computer Science and Network Technology.

[13]  Ye Zhi-quan Result Analysis of the Interference of Wide-band and High-frequency Noise , 2002 .

[14]  Yang Yang,et al.  Analysis and experiments of self-injection magnetron , 2016 .

[15]  Zhaochuan Zhang,et al.  3D particle-in-cell simulation of continuous wave magnetron , 2016, 2016 IEEE International Vacuum Electronics Conference (IVEC).

[16]  杨阳,et al.  Power-combining based on master-slave injection-locking magnetron , 2016 .

[17]  Srdjan Capkun,et al.  Anti-jamming broadcast communication using uncoordinated spread spectrum techniques , 2010, IEEE Journal on Selected Areas in Communications.

[18]  Kama Huang,et al.  Microwave Power System Based on a Combination of Two Magnetrons , 2017, IEEE Transactions on Electron Devices.