Method of range profile for step frequency MMW radar based on wavelet transform power spectrum estimator

Yuehua Li; Duntang Gao; Qinghong Shen; Xingguo Li

doi:10.1117/12.492792

26 November 2001 Method of range profile for step frequency MMW radar based on wavelet transform power spectrum estimator

Yuehua Li, Duntang Gao, Qinghong Shen, Xingguo Li

Author Affiliations +

Proceedings Volume 4473, Signal and Data Processing of Small Targets 2001; (2001) https://doi.org/10.1117/12.492792
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

The method of range profile for step frequency MMW radar targets based on wavelet transform power spectrum estimator is studied. We show how the Fourier power spectrum can be detected by using the wavelet function coefficients (WFC) of the DWT. This method can successfully measure the power spectrum in samples for which traditional methods often fail because the sample are finite sized, have a complex geometry, or are varyingly sampled. We demonstrate that the spectrum features, such as the power law index, the magnitude, and the typical scales can be determined by the DWT reconstructed spectrum. We apply this method to the practical step frequency MMW radar target echo signals, and on the condition of the same sampling frequency and sampling data length, it can achieve one dimensional range profile with profile’s resolution superior to FFT’s, so the one dimensional range profile of targets can be analyzed with high resolution, the detail algorithm of range profiles spectrum estimation based on wavelet transforming multirange cells is proposed. Compare with FFT algorithm, using wavelet spectrum estimator of short data series, we can achieves high resolution, high accuracy, and low SNR threshold. The Experiment results make clear that the DWT estimator is a sensitive tool in range profile of step frequency MMW radar.

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Yuehua Li, Duntang Gao, Qinghong Shen, and Xingguo Li "Method of range profile for step frequency MMW radar based on wavelet transform power spectrum estimator", Proc. SPIE 4473, Signal and Data Processing of Small Targets 2001, (26 November 2001); https://doi.org/10.1117/12.492792

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KEYWORDS

Wavelets

Radar

Wavelet transforms

Extremely high frequency

Fourier transforms

Discrete wavelet transforms

Linear filtering

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