Ultra-wideband AOA indoor positioning method based on ICA and CS

Abstract

The invention discloses an ultra-wideband AOA indoor positioning method based on ICA and CS. The system comprises a positioning terminal, a base station, a server and an upper computer; the positioning system adopts ultra-wideband AOA direction finding positioning to obtain positioning data, and the base station receives the positioning data of the positioning system and transmits the positioning data to the server connected with the upper computer so as to realize terminal positioning monitoring. According to the method, the problem of multipath signal interference of ultra-wideband AOA positioning is solved by adopting a method of combining non-Gaussian independent component analysis (ICA) and compressed sensing (CS) theories. According to the non-Gaussian independent component analysis (ICA) algorithm, the non-Gaussian property of the signal is utilized, and compared with a classical MUSIC algorithm, the non-Gaussian independent component analysis (ICA) algorithm has higher angle resolution and calculation precision; on the basis of obtaining a composite steering vector through an ICA algorithm, a sparse signal reconstruction method in a compressed sensing theory is utilized to solve the underdetermined problem of obtaining the arrival directions of direct and multipath components from the composite steering vector.

Description

technical field [0001] The invention relates to the technical field of positioning systems, in particular to an ultra-wideband AOA indoor positioning system and positioning method based on ICA and CS. [0002] technical background [0003] With the continuous improvement of people's living needs and the rapid development of modern wireless communication technology, wireless positioning technology has attracted more and more attention and attention. It is not only widely used in the military field, but also quickly enters our daily life. In various application fields play an important role. For example: searching for children in supermarkets, searching for lost suitcases at airports, and searching and rescuing people trapped in rubble during earthquakes, etc. How to improve positioning accuracy in these relatively closed and dense indoor environments is an important aspect of wireless positioning technology research. [0004] At present, there are a variety of relatively mat...

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Problems solved by technology

[0004] At present, there are a variety of relatively mature wireless positioning technologies, but these technologies and methods have different degrees of defects when used in indoor positioning: infrared signals are intelligently transmitted in a small range, easily affected by fluorescent lamps or lights in the room, and cannot reach High-precision positioning; GPS positioning system is a relatively mature system at present. It can achieve high positioning accuracy in outdoor environments. It uses satellite signals, so it has a wide coverage and does not require a signal generator. However, it is difficult for the signal to be attenuated in space. WIFI positioning is often used for indoor positioning because of its low cost, but it is easily interfered by other signals, which directly leads to a decrease in positioning accuracy, and The locator has relatively high energy consumption; Bluetooth technology is also suitable for small-scale positioning, with large fluctuations in positioning errors and large fluctuations due to noise signal interference

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