An Adaptive Filtering Method for Chirp Signal Based on FRFT

Abstract:

In this paper, an adaptive filter method for Chirp signal in additional white Gaussian noise (AWGN) is studied. First, we analyze conception and character of FRFT (Fractional Fourier Transform), and the results shows that Chirp signal has energy concentration character in FRFT domain. Then, an adaptive filtering method is introduced in FRFT domain, and a test is done for separating Chirp signal from AWGN by the filtering method. Last, performance of this filtering method is studied, and the SNR improvement expression is concluded to verifying its advantages, it depends on the performance of adaptive filter basically. At last, the results show that this filtering algorithm is simple in computation and easy in implementation.

• Periodical: Advanced Materials Research (Volumes 989-994)
• Pages: 3934-3937
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.989-994.3934
• Online since: July 2014
• Authors: Yan Jun Wu*, Gang Fu, Gang Cheng
• Keywords: Adaptive Filter, Chirp Signal, FRFT

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