Research On Self-organizing Network And Target Detection Of Regional Blockade Ammunition Fuze

Networked fuze which has the ability of automatical target detection and interactive communication is one of development trends of smart and intelligent fuze.The communication of fuze can be divided into static and dynamic information crosslinking,and networked fuze is belong to static information crosslinking,which can be deployed fast to designated area.Each ammunition will be linked to achieve the optimal target detection and the best blockade effect,which can delay or block the fast marching mechanized troops.Ammunitions can connect to the operational command system additionally which will realize the function of battlefield reconnaissance and provide a good environment for other aggressive weapons.There is no integral theory system of networked fuze deployed on the ground,and the problems like wireless communication on the ground,node self-localization in the network which has small anchor node density,omnidirectional detection for directional sensor and cooperative detection between ammunitions still exist.So the research on regional blocked ammunition used for long-range guidance rocket projectile will be divided into two parts in this paper,self-organizing network and target detection,which will complete the basic theory frame of networked fuze and promote development of smart and intelligent fuze.The regional blocked ammunitions are deployed on the ground,the transmitting and receiving antennas will be close to the ground and non-line-of-sight communication will arise because the wireless channel may be covered by grass.In this paper,measuring and fitting methods based on the logarithmic distance single-slope path loss mode were proposed to study attenuation characteristics of two communication frequencie,433MHz and 2.4GHz.The wireless channeld models were determined in concrete pavement,sparse grass and lush grass.The two jump self-organizing network was constructed based on the wireless channel model and the scale of regional blocked ammunition deployment.As one of the network services,node self-localization was decribed with mathematical method.A distributed self-localization algorithm based on ratiometric vector iteration was proposed for sparse network with small density of anchor nodes,the first iteration position of the node was obtained by the centroid localization algorithm,and the moving vector was also obtained to approach the accurate position.With the optimization of iteration times,a balance relationship was built between iteration times and localization accuracy.The localization performance of the ratiometric vector iteration self-localization algorithm in different sparse networks was also simulated.The omnidirectional sensing capability of the ultrasonic orientation sensor has a decisive influence on single sensing performance of the ammunition.Firstly,the trumpet enhancement effect to ultrasonic was analyzed and simulated.Then circumferential scanning system and array detection system based on enhanced ultrasonic ranging modules were designed to achieve the perception capability of the vehicle targets around 360°.In single transmit and receive ultrasonic rotational scanning system,a rotating target detection model was established according to the echo amplitude diminution because of the ultrasonic transducer’s deflexion within the time of flight in ultrasonic distance measurement.Then the relationship between the maximum speed and the maximum distance range was simulated,the parameters such as rotational scanning speed and ultrasonic pulse frequency was optimized and the target acquisition rate of the rotational scanning system was calculated.In ultrasonic array detection system,the sensing model of vehicle target was established.Using low power passive acoustic detection as an early warning signal and auxiliary positioning method,an acoustic-ultrasonic composite algorithm for vehicle target detection was proposed.With the premise of the target detecting performance,the power consumption of ultrasonic array detection system was reduced.Target localization method based on Y-type four-node wireless acoustic array and weighted linear least square method with energy aware were proposed respectively to solve the warning problem of target outside deployment area and localization problem of target inside deployment area.Each ammunition is equipped with a single microphone as its sensing device and all ammunitions are linked by self-organizing network,the cooperative sensing between ammunitions can be achieved.Major error sources,such as array shape,sound attenuation coefficient.node’s position error and sensing range of sensor were analyzed.A node selection algorithm for Y-type wireless acoustic sensor array and an energy aware node slection algorithm was present respectively.Finally,in view of the tracking problem of moving target inside deployment area,a composite tracking algorithm of WLLS and KF was proposed.The observation equation of KF is simpler and tracking accuracy is higher because the localization result by WLLS is the input to kalman filter.The fuze in gateway ammunition and function ammunition were designed.The Beidou positioning experiment,node intercommunication experiment and the whole self-organizing network experiment in deployment environment were carried out,which demonstrated that the entire communication link can achieve the purpose of monitoring regional blocked ammunitions.We had also carried out ultrasonic ranging experiment and ultrasonic environmental experiment,which shows the rain influence on ultrasonic detection is very small,although the grass has a great influence on ultrasonic echo,a clear target echo still could be obtained easily.Experiment on acoustic and ultrasonic array compound sensing device shows that this device can perceive the target within 20 meters,and estimate its trajectories within 6 meters.The target inside and outside deployment area localization experiment were carried out respectively,which shows that the positioning error of the target outside deployment area is less than 1m,and target inside deployment area is less than 0.5m.The research on self-organizing network and target detection has an important influence on the development of unattended weapons plotform on the ground.