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Adaptive Waveform for Cognitive Radar to Minimize Cramér-Rao Bound

Hong-liang Liu, Wei-yi Chen, Zhong-sheng Xu
2014 Proceedings of The 2nd International Conference on Intelligent Systems and Image Processing 2014   unpublished

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In order to remove the noise from random drift signal of fiber optic gyroscope (FOG), the wavelet analysis technique is proposed in the filter Processing. Based on the component elements of random drift signal of FOG, mathematical model of random drift signal of FOG is built. According to the shortcoming of hard threshold and soft threshold, threshold function of forced denoising is used in signal filtering. It is shown from simulation and statistic analysis that the wavelet analysis technique
more » ... s an effective method to eliminate noise from random drift signal of FOG, and that selection of wavelet base and decomposition scale also has an impact on filtering effect of wavelet analysis.
doi:10.12792/icisip2014.053 fatcat:q6uaibszybc6hge777rkz4w6qm
Citation

Hong-liang Liu, Wei-yi Chen, Zhong-sheng Xu. "Adaptive Waveform for Cognitive Radar to Minimize Cramér-Rao Bound." Proceedings of The 2nd International Conference on Intelligent Systems and Image Processing 2014 (2014)