A New Target Detection Method for Noncooperative Bistatic Radar Based on Fractional Fourier Transform and Wavelet Transform
| Autor: | Sen Wang, Zengping Chen, Caiyong Lin, Qinglong Bao, Tang Zejia |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
Template matching 0206 medical engineering Wavelet transform 02 engineering and technology 020601 biomedical engineering Fractional Fourier transform Object detection law.invention Bistatic radar symbols.namesake Fourier transform Pulse compression law 0202 electrical engineering electronic engineering information engineering symbols 020201 artificial intelligence & image processing Radar Algorithm |
| Zdroj: | 2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC). |
| DOI: | 10.1109/imcec.2018.8469607 |
| Popis: | A247 the template matching method is an effective way to acquire direct waves, there is a certain deviation in the acquisition and estimation of direct waves. The deviation of direct wave parameters directly affects the performance of subsequent related algorithms. In this paper, we mainly evaluate the performance of the pulse compression(PC) algorithm with non-cooperative radar parameters, and propose a direct detection method based on fractional Fourier and wavelet denoising. This paper gives the detection performance curve of this new method. The result shows that there is a certain gap between the proposed method and the ideal pulse compression method, but it has excellent performance with respect to the deviation of the direct wave parameters. Therefore, it is an excellent method to detect the target under a specific signal-to-noise ratio in the non-cooperative bistatic radar. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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