A Novel Non-Coherent OQPSK Detection Based on Interactive Kalman Filtering with Applications in Zigbee Receiver

This research proposes a new low-cost and low complex methodology endeavoring to optimize the performance of Offset Quadrature Phase Shift Keying (OQPSK) using Interactive Kalman Filter (IKF). The design method is base1d on the use of two Linear Kalman Filters (LKFs) coupled together to be used as a priori phase to an Extended Kalman Filter EKF, and as an observer to the 2ndLKF to estimate the phase coefficients. The criterion for novelty is the minimization of the Mean Square Error (MSE) with respect to Signal to Noise Ratio (SNR) values between the output phase signal and the actual value of the phase signal. The proposed phase tracking using the IKF technique reduces the phase deviation error and increases the robustness against Gaussian noise, Non-Gaussian noise, and the Adjacent Channel Interference(ACI). A MATLAB ZigBee transceiver system model has been created to study the performance of the IKF in the presence of different propagation environments. The proposed IKF has been integrated into the receiver of the ZigBee system to illustrate the superiority of the proposed receiver, as we shall see. Our motivation for the emphasis on this research is twofold. First, the complexity of coherent communication systems, which is based on traditional techniques, can be replaced by a simpler receiver. Second, introducing Interactive Kalman Filtering, a new demodulation technique for OQPSK modulated signal and lightweight solution for detecting the corrupted received signal and reducing the phase deviation error.