A Study of Wireless Communication System to Extend MAV Reconnaissance Performance under Shadowed Environment

• Main Authors: Chen,Wei-Chih, 陳威志
• Other Authors: Li,Sheng-Yi
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/85706189005018322990

碩士 === 國防大學理工學院 === 電子工程碩士班 === 101 === The development and application of the micro aerial vehicle (MAV) has been a popular emphasized subject in recent years. MAV is equipped with the aerial sensors and wireless transmission systems to execute remote exploring and hazardous area reconnaissance. Thus the human casualties will be reduced and the instant information during hazardous rescue operation can be obtained by MAV. However, due to the space and payload limit of MAV, and the wireless communication may be blocked by the environment obstacles, e.g. , fading channels, the transmission effect of MAV will be degraded. Hence how to implement a small volume MAV which can extend reconnaissance performance in obstacle environment is a stringent research topic. In order to enhance the video and GPS information transmission by MAV, Wi-Fi and frequency shift keying (FSK) technique are integrated in this thesis. Moreover, the EMI shielding facility is added to avoid GPS receiving signals affected by the transmitter and motor. The research includes system integration, circuit implementation and software programming. In system integration part, GPS module, wireless video transmitter and Wi-Fi are integrated together with EMI protection mechanism. In circuit implementation part, the PIC signal processing circuit is developed, the compression of GPS data and the error correction coding technique are applied to enhance the transmission performance in obstacle environment. In software programming part, Windows operation interface and Google Earth API are joined to achieve the real-time video and GPS data mapping on Google Earth. In addition, the specific altitude and navigation point cruising is also a topic studied in this thesis to save MAV operator training time and reduce the operation error. The research result is applicable for unmanned vehicle data transmission system design, and can be further applied in military information and reconnaissance area.