Electromagnetic Situation Inversion Technology Based On Micro Sensor Network

Electromagnetic spectrum is a limited natural resource.Rational and effective use of electromagnetic spectrum resources is of far-reaching significance to social and economic development.In addition,electromagnetic spectrum plays an important role in electromagnetic spectrum management,electromagnetic spectrum war and other aspects.Therefore,how to accurately obtain electromagnetic spectrum data and grasp the development law of electromagnetic spectrum in real time has become the focus of communication research.The current space electromagnetic spectrum monitoring and data processing system only obtains the electromagnetic spectrum data at the spectrum monitoring node,and cannot obtain the spectrum situation of the whole monitoring area.The grid based electromagnetic spectrum real-time monitoring and analysis system realizes the electromagnetic spectrum situation reconstruction of the whole monitoring area by deploying micro spectrum sensors at the selected grid monitoring points.In the process of monitoring,each micro spectrum sensor cooperates with multiple surrounding micro spectrum sensors to jointly participate in the construction of spectrum situation,then extracts regular features from the measured data,and finally realizes the construction of the whole regional electromagnetic spectrum situation.Therefore,this method can more effectively expand the coverage of electromagnetic spectrum monitoring and improve the inversion efficiency of electromagnetic spectrum situation.Based on the above background analysis,the core work and main innovations arranged in this thesis are as follows:(1)Firstly,the internal design of the micro sensor node developed by the laboratory is analyzed and studied.The central control module of the micro sensor is realized based on ARM processor,and the data analysis and processing part is supported by field programmable gate array FPGA.This design is based on the zynq development platform,which integrates the arm processor and the field programmable gate array FPAG efficiently.Under the condition of ensuring the overall performance of the sensor,it also reduces the power consumption of the micro sensor,reduces the overall volume of the micro sensor,and prolongs the single service life of the micro sensor.Finally,the overall task execution process in the micro spectrum sensor network is studied,and the solutions to improve the reliable and efficient data transmission in the network are analyzed.(2)According to the importance of electromagnetic spectrum and the new requirements of spectrum management,a more reliable electromagnetic spectrum situation inversion algorithm is designed based on the electromagnetic spectrum data and space-time domain information obtained by the micro spectrum sensor monitoring node.Then it introduces the system model of the algorithm,the acquisition of multi-dimensional distributed spectrum data of space-time and frequency and the processing of monitoring data.Finally,the proposed algorithm is simulated,including the influence of the accuracy,robustness,signalto-noise ratio and the number of micro sensors on the accuracy of the algorithm.Through the simulation analysis of the changes of various influencing factors,the efficiency and reliability of the proposed improved algorithm in electromagnetic frequency spectrum situation inversion are verified.(3)For the application scenario of the designed electromagnetic spectrum situation inversion algorithm,we have migrated two new application scenarios.The first is that when the ground environment is complex and there are many obstructions,it is not suitable to directly deploy micro sensors on the ground for direct monitoring.Therefore,we propose an air spectrum data monitoring and acquisition algorithm based on UAV.The second is that the target monitoring area is a place that cannot be reached by human forces and is inconvenient for UAV and other air monitoring equipment to pass through,such as the enemy area or unfriendly target area in wartime.In the case of this non top target area,build a system model to verify whether the newly improved algorithm is still effective.We simulate the new application scenario and find that the improved algorithm is still effective for the new scenario and still maintains a high accuracy.It is proved that the algorithm has a wide range of application scenarios and high performance.(4)For the proposed algorithm,we rely on the micro spectrum sensor and electromagnetic spectrum monitoring system developed by the laboratory to test the proposed electromagnetic spectrum situation inversion algorithm.By selecting the target experimental area,setting up the micro spectrum sensor network and simulating the unknown radiation source to verify the effect of the algorithm in practice.After testing,using the spectrum data and location information monitored by the micro sensor,the algorithm can accurately reflect the actual radiation source location,and verify the practical feasibility and reliability of the algorithm.