TAO Jia-feng, YANG Xiao-hong, WANG Jian-ping, et al. Model of indoor distance measurement optimization techniques based on RSSI[J]. 2017, 36(1): 24-26+30.
TAO Jia-feng, YANG Xiao-hong, WANG Jian-ping, et al. Model of indoor distance measurement optimization techniques based on RSSI[J]. 2017, 36(1): 24-26+30. DOI: 10.13873/J.1000-9787(2017)01-0024-03.
Due to impact of non-line of sight and multipath transmission of the indoor environment based on received signal strength indication( RSSI) ranging technology
ranging error is relatively large. In order to reduce the degree of interference in signal propagation
by adjusting power of node
the node is placed in a higher position to reduce the impact of stream of people on signals and using multiple filtering algorithm for the acquisition of RSSI data filtering processing to obtain accurate and smoothing output of RSSI value
and then using the least squares method to fit parameters of signal attenuation model many times to obtain parameters which meet specific environment
and real-time ranging by ranging model. By low-power
remote Bluetooth 4. 0 module
set up transceiver node to verify and analyze. Experimental results show that the improved scheme not only significantly improve accuracy of indoor ranging model
but also has high reference value in the promotion of practical applications.