Zhu Wen-Tao, Su Tao, Yang Tao, Zheng Ji-Bin, Zhang Long. Detection and Parameter Estimation of Linear Frequency Modulation Continuous Wave Signal[J]. Journal of Electronics & Information Technology, 2014, 36(3): 552-558. doi: 10.3724/SP.J.1146.2013.00676
Citation:
Zhu Wen-Tao, Su Tao, Yang Tao, Zheng Ji-Bin, Zhang Long. Detection and Parameter Estimation of Linear Frequency Modulation Continuous Wave Signal[J]. Journal of Electronics & Information Technology, 2014, 36(3): 552-558. doi: 10.3724/SP.J.1146.2013.00676
Zhu Wen-Tao, Su Tao, Yang Tao, Zheng Ji-Bin, Zhang Long. Detection and Parameter Estimation of Linear Frequency Modulation Continuous Wave Signal[J]. Journal of Electronics & Information Technology, 2014, 36(3): 552-558. doi: 10.3724/SP.J.1146.2013.00676
Citation:
Zhu Wen-Tao, Su Tao, Yang Tao, Zheng Ji-Bin, Zhang Long. Detection and Parameter Estimation of Linear Frequency Modulation Continuous Wave Signal[J]. Journal of Electronics & Information Technology, 2014, 36(3): 552-558. doi: 10.3724/SP.J.1146.2013.00676
To deal with the issue that the long time accumulation method is hard to be applied to the detection and parameter estimation of Linear Frequency Modulated Continuous Wave (LFMCW) signal, a novel algorithm combining the joint inter-frame correlation method and cyclostationary method is proposed to detect LFMCW signal and estimate its parameters. Firstly, consistency of noise variance is completed by the normalized window-variant coherent average method. Then, on this basis, the period is exactly estimated with inter-frame correlation method. Finally, cyclostationary method is utilized to estimate the phase parameters of LFMCW signal. The proposed algorithm realizes long time accumulation with low computational complexity. For low Signal- to-Noise Ratio (SNR), this method still achieves good estimation performance. Simulation results verify the effectiveness of the proposed method.