In situations where information infrastructure is destroyed or not available, on-demand information infrastructure is pivotal for the success of rescue missions. In this paper, a drone-carried on demand information infrastructure for long-distance WiFi transmission system is developed. It can be used in the areas including emergency response, public event, and battlefield. The WiFi network can be connected to the Internet to extend WiFi access to areas where WiFi and other Internet infrastructures are not available. In order to establish a local area network to propagate WIFI service, directional antennas and wireless routers are used to create it. Due to unstable working condition on the flying drones, a precise heading turning stage is designed to maintain the two directional antennas facing to each other. Even if external interferences change the heading of the drones, the stages will automatically rotate back to where it should be to offset the bias. Also, to maintain the same flying altitude, a ground controller is designed to measure the height of the drones so that the directional antennas can communicate to each other successfully. To verify the design of the whole system, quite a few field experiments were performed. Experiments results indicates the design is reliable, viable and successful. Especially at disaster areas, it’ll help people a lot.

This thesis deals with brief research on problematics of antennas in microwave band for omni-directional applications, own design and assembling of such an antenna. The purpose of the design is to have a best possible radiation patterns and reflection loss of our antenna. Conical monopole is chosen and it is simulated and changed to get the best possible parameters. Two prototypes are manufactured with mechanical changes applied and their parameters measured. Finished antenna is used for experimental channel measurement.

In situations where information infrastructure is destroyed or not available, on-demand information infrastructure is pivotal for the success of rescue missions. In this paper, a drone-carried on-demand information infrastructure for long-distance WiFi transmission system is developed. It can be used in the areas including emergency response, public event, and battlefield. In years development, the Drone WIFI System has developed from single-CPU platform, twin-CPU platform, Atmega2560 platform to NVIDIA Jetson TX2 platform. By the upgrade of the platform, the hardware shows more and more reliable and higher performance which make the application of the platform more and more exciting. The latest TX2 platform can provide real time and thermal video transmission, also application of deep learning of object recognition and target tracing. All these up-to-date technology brings more application scenarios to the system. Therefore, the system can serve more people in more scenarios.

Les travaux présentés dans ce manuscrit sont relatifs à la conception et au développement d’antennes basées sur les structures artificielles – métamatériaux. La première antenne conçue et réalisée est une antenne bi-fonction en bande L (~1GHz) (GPS et DME) à diversité de bande/de polarisation, destinée aux applications aéronautiques. Ces travaux rentrent dans le cadre du projet MSIE (pôle de compétitivité ASTHEC) pour lequel notre LEME a été très actif. Les partenaires industriels de ce projet sont EADS/IW, Dassault aviation, INEO-Défense, SATIMO. Les résultats montrent la faisabilité d’une antenne unique pouvant avoir simultanément deux fonctions avec une diversité de polarisation et de bande spectrale. L’utilisation des métamatériaux a permis en particulier le maintien de la polarisation circulaire de l’antenne GPS -L1 à L5. La fonction DME a été consolidée avec le maintien de son gain. La seconde antenne est une antenne cavité Fabry-Pérot mettant en œuvre une structure partiellement réfléchissante double couche. Nous avons démontré le phénomène physique d’inversion de la phase du coefficient de réflexion de la PRS. Nous avons obtenu un gradient positif de phase sur une bande de 5 GHz autour de 80GHz. Grace à ce profil nouveau de la phase obtenu par la structure métamatériau PRS, on dispose d’une avance linéaire de la phase qui compense le retard du à la cavité Fabry-Pérot. Ainsi on maintient les conditions de résonance de la cavité sur une large bande, 5GHz. Nous démontrons, que la mise en œuvre de cette structure aux caractéristiques inédites permet de réaliser une antenne cavité ultra-directive sur une très large bande spectrale de 5GHz. Les performances atteintes sont une directivité de 35 à 40dBi sur 5 GHz, une adaptation parfaite (gain ~ directivité) avec très peu de sources primaires. L’antenne est compacte avec une hauteur totale inférieure au 10mm (connecteur compris) et une surface de 100mmx100mm. / The work presented in this manuscript is related to the design and development of antennas based on artificial structures - metamaterials. The first designed and built antenna is a GPS and DME dual-function in the L (~ 1GHz). It is an antenna designed with polarization and spectral diversities for aeronautical applications. The work is within the MSIE project of ASTHEC cluster for which our laboratory (LEME) was very active. The industrial partners of the project are EADS/IW, Dassault Aviation, INEO-Defense SATIMO. The results show the feasibility of a single antenna having simultaneously two functions with a diversity of polarization and spectral band. The use of metamaterials enabled in particular the preservation of circular polarization of the GPS antenna on the bands ranging from L1 to L2. The DME function was consolidated with the same gain.The second antenna is an antenna Fabry-Perot cavity employing a partially reflective structure (PRS) Double-layer. We have demonstrated by numerical simulation and experimental characterization, the physical phenomenon of inversion phase of the reflection coefficient PRS. We obtain a positive gradient of the phase over a broad band of 5 GHz around 80GHz. Thanks to this new profile obtained by the PRS metamaterial structure, it has a linear advance of the phase which compensates for the delay of the Fabry-Perot cavity. Thus the cavity resonance conditions are maintained over a wide band, 5GHz. We demonstrate that the implementation of this structure with unique features allows a highly directive antenna cavity over a very wide spectral band 5GHz. The performance are a directivity of 35-40 dBi over 5 GHz, a perfect adaptation (gain ~ directivity) with very few primary sources.

This master thesis deals with a study of directional antennas, followed by their design and optimalization of horn antenna based on SIW for Ka band (26,5- 40 GHz). The first part of the thesis contains the theoretical analysis of the different types of directional antennas, also the SIW technology is described here. It also describes the 3D printing technology by means of which the final antenna should be made. The next part of this work is about design of horn antenna based on SIW. Simulation and optimization of the antenna will be done using the CST Microwave Studio. The final part of the thesis deals with evaluation of achieved results.

This master thesis deals with a study of directional antennas, followed by their design and optimization of horn antenna based on SIW for Ka band (26,5- 40 GHz). The first part of the thesis contains the theoretical analysis of the different types of directional antennas, also the SIW technology is described here. It also describes the 3D printing technology by means of which the final antenna should be made. The next part of this work is about design of horn antenna based on SIW. Simulation and optimization of the antenna will be done using the CST Microwave Studio. The horn antenna was modeled with three different dielectric loads. The horn antenna with an experimental triangular dielectric load was chosen for fabrication. The fabricated antenna has reached almost the whole bandwidth to cover Ka. The antenna gain was 9,38 dBi for 33 GHz frequency.

No description available.

No / A miniaturized conical helix antenna is presented, which displays vertical polarization with electrically small dimensions of 10mm×10mm×45mm. The resonance of the antenna is made tunable by adding a variable digital MEMS capacitor load at the bottom of the helix, giving a tuning range of 316 MHz to 400 MHz. The antenna demonstrates considerable impedance matching bandwidth and gain over the entire tuning frequency band. Most importantly, the antenna is capable of compact, flexible and easy integration into a wireless device package or for platform installation. / Datong of Seven Technology Group, for their support under the KTP project grant No. 008734.

Rychlý vývoj v oblasti mobilní informatiky vyústil v nový, alternativní způsob mobilní komunikace, v němž mobilní uzly tvoří samoorganizující se bezdrátovou síť, jíž se říká mobilní síť ad hoc (Mobile Ad hoc Network, MANET). Specifické vlastnosti sítí MANET stavějí návrh síťového protokolu před řadu problémů na všech vrstvách protokolové sady . Příčinou jsou nepředvídatelné změny topologie a mobilní povaha těchto sítí. Nástrojem, který řeší problémy plynoucí z mobility uzlů, je predikce budoucích změn v topologii sítě. To má zásadní význam pro různé úlohy jako přesměrování. Tato disertační práce se zabývá dvěma metodami predikce mobility pro sítě MANET. První metoda se nazývá „predikce mobility s využitím virtuální mapy“ (mobility prediction using virtual map) a předpokládá, že každý uzel si dokáže vybudovat svou virtuální mapu v závislosti na svém umístění v průběhu času. Vyvinutý predikční algoritmus byl implementován do síťového simulátoru NS-2, aby jej bylo možné vyhodnotit. V této práci zkoumám stávající modely mobility a způsob, jakým v nich lze aplikovat tuto metodu predikce. Simulace sledují zlepšení výkonnosti, co se týče průměrného zpoždění na bázi end-to-end, poměru doručených paketů a propustnosti sítě. Navržený koncept predikce byl implementován pomocí směrovacího protokolu AODV(Ad Hoc On-Demand Distance Vector). Pro druhou metodu jsem vyvinula umělou neuronovou síť pro predikci pohybů v sítích MANET. Model pro predikci mobility vznikl na základě dat shromážděných ze vzorců umístění. K učení či trénování ANN byl využit bayesovský přístup. Ten byl implementován v softwaru pro trénování bayesovských neuronových sítí s názvem Model Manager. Nejlepším způsobem hodnocení závěrečného modelu je provedení predikcí a jejich srovnání s cílovými daty. Predikce vznikají na základě 50 vzorců jako vstupních proměnných. Dosažené výsledky prezentované s diskutované v práci se vyznačují zlepšením zásadních parametrů komunikační sítě, jako jsou propustnost, zpoždění, Poměr doručených paketů, až o 30% v porovnání s klasickým směrovacím protokolem AODV, kde není implementován predikční model.