無(wú)線傳感網(wǎng)絡(luò)的室內(nèi)定位系統(tǒng)設(shè)計(jì)
[Abstract]:Under the background of the rapid development of Internet of things and three networks of cars a series of information related to the location of people or objects has been paid more and more attention to. Outdoor positioning and navigation technology has been very mature satellite communication technology, and in the complex indoor environment, because of the inability to use satellite signals, so a large number of companies, research institutions to find new solutions. The indoor environment is diverse and rich, such as shopping malls, airports, hospitals, office buildings, parking lots, warehouses and so on. In these indoor environments, location-based services such as location, cargo management and message push are developed and applied. At present, wireless sensor networks are used in most indoor positioning technologies, which makes indoor positioning and navigation technology appear the phenomenon of a hundred schools of thought. There are mainly RFID, ultrasonic, WiFi, Bluetooth, ZigBee, ultra-wideband (UWB), linear frequency modulation spread spectrum (CSS) and other wireless sensing technologies, which are mainly based on the received signal strength (RSSI) location and TOA, (TOA,). TDOA) locate two categories. Based on the received signal intensity localization generally has the advantages of low power consumption, low cost, flexible network, can transmit information, but easily affected by the complex indoor environment, mainly occlusion, reflection, refraction resulting in the reduction of positioning accuracy. Time-based positioning has the advantages of high positioning accuracy, low power consumption and anti-interference. However, the scheme is not flexible enough to network and has less information. After the comparative analysis of various positioning techniques, this paper studies indoor positioning with ZigBee and CSS respectively. In this paper, the relation between link quality (LQI) and RSSI is studied experimentally, and the LQI-RSSI ranging algorithm is proposed to solve the problem that the fluctuation of RSSI in ZigBee location causes the deviation of distance calculation. The standard particle swarm optimization algorithm is improved with trigonometric function. The results of ranging and localization experiments show that ZigBee technology has better localization effect in small range regions. In this paper, the CSS signal system and its advantages are analyzed in detail in the research of CSS location. The two-sided bidirectional ranging algorithm, particle filter algorithm and least square localization algorithm are selected to solve the location of mobile node, which effectively solves the problem of time synchronization. The experiments of ranging and localization are carried out, which show that CSS technology can achieve better localization in a wide range of areas. Finally, the solution of indoor positioning microbase station based on CSS is designed by using ZigBee,CSS and air pressure sensor. Small scale experiments were carried out to realize the relative orientation of objects.
【學(xué)位授予單位】:杭州電子科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TP212.9;TN92
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