Abstract
The objective of this research is to track the phase changes in Binary Phase Shift Keying (BPSK) modulated signal in ZigBee communication systems using discrete Kalman Filter (KF). Therefore, Kalman Filtering is used to estimate and optimize the carrier phase of BPSK modulated signal, in the presence of Additive White Gaussian Noise (AWGN) channel, by minimizing the phase deviation error. Therefore, a simulation model, using MATLAB, will be created to demonstrate ZigBee transmission system with the impact of the integrated filter. The expected results will show that Kalman Filter tracks the phase of BPSK modulated signal correctly and the performance of tracking will be measured by Mean Square Error (MSE) with respect to Signal to Noise Ratio (SNR). This study proposes a new method of phase tracking in ZigBee receivers in the presence of AWGN channel which can be extended to Internet of Things (IoT) applications.
Highlights
ZigBee is a low data rate wireless personal area networks (LR-WPAN) which is used for a short distance communication system
The expected results will show that Kalman Filter tracks the phase of Binary Phase Shift Keying (BPSK) modulated signal correctly and the performance of tracking will be measured by Mean Square Error (MSE) with respect to Signal to Noise Ratio (SNR)
This study proposes a new method of phase tracking in ZigBee receivers in the presence of Additive White Gaussian Noise (AWGN) channel which can be extended to Internet of Things (IoT) applications
Summary
ZigBee is a low data rate wireless personal area networks (LR-WPAN) which is used for a short distance communication system. The original IEEE 808.15.4/Zigbee specifications use DSSS (Direct Sequence Spread Spectrum) as spreading spectrum technique to send the baseband signal at lower data rate than the channel data rate to make some improvements in the receiver side by making every bit spread as 15 chips [3] [7] This Research concentrates only on BPSK as a modulation technique for ZigBee. Kalman Filter is named after Rudolf Kalman in 1960 and it is a linear quadrature estimation used in system tracking, control, and communication systems. The objective of this paper is to track BPSK modulated signal phase by discrete Kalman Filter in ZigBee receivers in the presence of Additive White Gaussian Noise (AWGN) channel.
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