Various algorithms for wireless sensor positioning - Matlab simulation code
Wireless sensor network technology is widely used in the Internet of Things, smart home, smart city and other fields. The wireless sensor positioning technology is one of its cores and one of the research hotspots. This article will introduce the wireless sensor positioning based on RSSI data, and provide Matlab simulation code implementation.
RSSI stands for Received Signal Strength Indication, which is a common indicator for evaluating wireless signal strength. Since the wireless signal transmission process will be interfered by many factors, we need polynomial regression, Bayesian network, particle filter and other algorithms to process RSSI data to accurately calculate the position of wireless sensor nodes.
The following are three positioning algorithms based on RSSI data and their Matlab simulation codes:
- Polynomial Regression Algorithm
The algorithm obtains the distance and position relationship between nodes by fitting polynomials to RSSI. Specific steps are as follows:
% RSSI到距离的转换
for i=1:n
for j=i+1:n