Passive Indoor Positioning And Target Counting Based On CSI

The rapid development of modern information technology has changed people’slife, in recent years, people’s demand for location-based services has become moreand more stronger. Mature applications of GPS technology have met the diverseneeds of people to outdoor localization, but it cannot be applied to indoorenvironment due to poor GPS signals penetrate ability, so scientific researchpersonnel have proposed a large number of indoor localization solutions based on theinfrared, ultrasonic, UWB, RFID, RSSI et al. To some extent, these solutions cansolve a part of related issues of indoor localization, however, there are lack ofeffective solutions on indoor multiple targets. Therefore, it has great significance andpractical value to explore a new indoor localization technique, especially formulti-target localization,.In this paper, we conducted deep research in existing indoor localizationsolutions, and summarized some basic localization methods and commonly usedphysical properties of indoor localization technology, meanwhile, we made analysisand comparison about the advantages and disadvantages of several typical indoorlocalization technology. Grounded on previous work, we first presented a kind ofindoor target localization and counting scheme based on CSI, the main contributionand innovation can be summarized as follows:(1) Do analysis of the existing indoor localization solutions, and points out theshortage of these solutions according to its technical characteristic.(2) We customized Toshiba L311laptops and the driver of Intel5300wirelessnetwork card, and set up the experimental environment. We proved CSI is moresuitable for indoor localization related subject research than RSSI through a largenumber of experiments and analysis, and proposed a kind of indoor targetslocalization and counting method based on CSI.(3) Indoor localization problem is composed of three sub-problems includingtarget detection, target localization and tracking, and target identification. We usedEWMA algorithm to solve the first sub-problem, the second is achieved based onFingerprint, and for the third problem, we firstly propose a target counting methodthat can avoid using target identification by utilizing link correlation, which provides a new train of thought and inspiration to study indoor target localization relatedsubjects.(4) We comprehensively analyze the influence of EWMA algorithm on targetdetection accuracy by setting different parameters, and eventually get a set ofparameter values that is suitable for the most indoor environment.(5) Do simulation about the scheme presented in this paper with Java, analyzethe interference factors that affect performance, and finally make simulationevaluation by varying several sets of parameters.