Research On Dynamic Target Detection Technology Based On Microwave Induction

Target detection and recognition in complex environment are the core technologies of weaponry and industrial autonomous unmanned systems.In reality,the single detection system has been unable to meet the target detection requirements under strong interference conditions.As microwave detection technology has been widely used in industrial and military fields,it is insensitive to the natural environment such as sand dust,rain,snow and fog,and it can effectively solve the problems that the laser,infrared and other optical detection have less interference with the natural environment through multi-source complex detection,so it can effectively improve the reliability of target recognition.At present,the military area has conducted long-term and in-depth research on the dynamic detection of radio targets and has formed a variety of equipment products such as radar and radio fuze for various bands.In near-field detection,military equipment is more expensive,but widely used in civilian products with low cost,small size,high reliability and many other advantages.How to effectively use the potential of the civilian product technology to study its near-field detection the value of military equipment has an important meaning of military and civilian integration.In this paper,the 5.8GHz microwave sensor switch is taken as the research object.The principle of microwave induction detection based on doppler effect is analyzed,and the microwave detection technology scheme is determined.The detection performance of this microwave switch on the simulation of dynamic target in the battlefield is studied.Firstly,the overall design of doppler microwave target detection system is completed,and the research of microwave transmitting and receiving module,the design of doppler signal processing module are completed.The hardware experimental platform is set up through the simulation and experimental verification.Then,through theoretical analysis and practical tests on differenttargets such as small target,discrete target,plane target,body target,simulated rain field disturbance and dust disturbance and the interference in different distance,speed and intersection mode,different targets of the echo waveform,extracted a variety of target echo characteristics.Finally,according to the fourier spectrum features of simulated object,discrete fragment and dust disturbance,three characteristic parameters based on Fourier spectrum peaks are extracted,and a microwave target recognition algorithm based on support vector machine is studied.Simulation and debugging verified that the doppler signal processing circuit can amplify and filter the weak target echo signal,laying a solid foundation for dynamic multi-target detection.Experimental tests show that there are significant differences in the doppler echo spectrum of vehicle targets,discrete fragments,and dust disturbances,while natural environmental disturbances such as rain fields are insensitive to microwaves.The statistical results show that the three characteristic parameters based on the spectrum peak ratio value are used to distinguish the target from the two interferences.Algorithm simulation and experiments show that the accuracy of target classification and recognition is about 85%,so this method can effectively eliminate false interferences in natural and battlefield environments such as dust and discrete fragments,and improve the accuracy of battlefield target recognition.