Quasi-coherent Detection Technology for OFDM-DAPAK Based on Low-dimensional Kalman Filter

Differential amplitude phase shift keying (DAPSK) is proposed to use in a high-speed mobile environment, for it can demodulate the signal without the channel estimation. In this paper, a quasi-coherent detector for OFDM-DAPSK based on low-dimensional Kalman is proposed to improve system performance. In the proposed method, we modeled the time-varying channel as an autoregressive (AR) process, and a low-dimensional Kalman filter based on pilots was used to estimate the channel state information (CSI) on each subcarrier. Then the estimated CSI was employed to improve the performance of OFDM-DAPSK by constructing a quasi-coherent detection. Simulation results show that the proposed algorithm has obvious advantages compared with the other detection algorithms in a high-speed mobile environment. Complexity analysis shows that it can improve the transmission efficiency in high-speed mobile environments by adding less complexity.

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