Ma Xiu-Rong, Cao Duo. Parameters Estimation of BPSK Signals Based on Power Spectral DCT[J]. Journal of Electronics & Information Technology, 2014, 36(9): 2075-2080. doi: 10.3724/SP.J.1146.2013.01756
Citation:
Ma Xiu-Rong, Cao Duo. Parameters Estimation of BPSK Signals Based on Power Spectral DCT[J]. Journal of Electronics & Information Technology, 2014, 36(9): 2075-2080. doi: 10.3724/SP.J.1146.2013.01756
Ma Xiu-Rong, Cao Duo. Parameters Estimation of BPSK Signals Based on Power Spectral DCT[J]. Journal of Electronics & Information Technology, 2014, 36(9): 2075-2080. doi: 10.3724/SP.J.1146.2013.01756
Citation:
Ma Xiu-Rong, Cao Duo. Parameters Estimation of BPSK Signals Based on Power Spectral DCT[J]. Journal of Electronics & Information Technology, 2014, 36(9): 2075-2080. doi: 10.3724/SP.J.1146.2013.01756
A parameter estimation algorithm based on the power spectral Discrete Cosine Transform (DCT) is proposed to estimate the parameters of Binary Phase Shift Keying (BPSK) signals under low Signal-to-Noise Ratio (SNR) environment. According to DCTs and energy compaction, the BPSK signals code length can be accurately estimated after power spectral Discrete Cosine Transform (DCT) processing and threshold processing. Then the carrier frequency and pulse width can also be calculated exactly after IDCT processing which can lower the noises impact on the estimation. Experiment demonstrates that the proposed algorithm can realize accurate parameters estimation under low SNR environment. When , the Success Rate (SR) of carrier frequency and pulse width are 22.1% and 28.3% higher than that of the compared algorithm respectively.