基于BLE的RSSI测距算法研究

enewcommand{ aggedright}{leftskip=0pt ightskip=0pt plus 0cm} aggedright With the development of intelligent hardware, bluetooth low energy (BLE) technology has become the first choice for low-power transmission when intelligent hardware is used to build up wireless sensor networks (WSN). More and more intelligent hardware requires accurate positioning information, and the accuracy of location-based services depends on the accuracy of distance measurement of WSN. The distance measurement based on the received signal strength indicator (RSSI) value is a low-cost, low-complexity technology for distance measurement, but because of fast fading and slow fading, the error of RSSI measurement is large. To solve the above problem, targeting at the BLE technology, this paper proposed a RSSI distance measurement algorithm based on multi-point smoothing and log-normal curve fitting method. Experimental results show that through multi-point smoothing and least squares curve fitting, the distance measurement accuracy and range achieve a better trade-off and the average measurement error is reduced to below 0.5 meters within a range of 20 meters.