Abstract
The information of signal-to-noise (SNR) is used to observe the power of noise, so the SNR estimation is an essential technique in wireless communication systems. Hence, many communication system applications require the SNR information to optimize the system performance. Also, the mobile positioning has become a popular issue since the E-911 purpose proposed by FCC. Hence, the positioning technique can cooperate with the SNR estimation to improve precision of positioning. Due to the adoption of the received signal strength (RSS)-based positioning technique in our work, the positioning performance is dominated by the RSS. Hence, the positioning performance can be improved by RSS with noise cancellation which is estimated by the code-aided (CA) SNR estimation. The simulation results indicate that the CA SNR estimation method has better estimation performance than the other non-data-aided (NDA) SNR estimation methods in low SNR conditions. This thesis propose the architecture design of the CA SNR estimation, and verify the architecture design combined with the RSS-based positioning technique on FPGA. Finally, We use the RSS-based positioning technique with embedded CA SNR estimator to complete positioning estimation by using RF modules in real world, and the simulation results indicate that the RSS with noise cancellation has better performance than the RSS without noise cancellation in the integrated positioning system.